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Foster, N (2024). ASCENT-Ethiopia health economics. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003721.
Data Collection
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Sarawak (2023). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.3478c85a-5395-4d51-8982-ffefee85bfb9.
Osei, I (2024). Gambia_Main Contact Survey. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.14064155
MacPherson, P, Stagg, HR, Schwalb, A, Henderson, H, Taylor, AE, Burke, RM, Rickman, HM, Miller, C, Houben, Rein M. G. J., Dodd, PJ and Corbett, EL (2024). Summary of posterior draws from pulmonary tuberculosis model. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1004448.s002
Ikegawa, M, Kano, N, Ori, D, Fukuta, M, Hirano, M, Hewson, R, Yoshii, K, Kawai, T and Kawasaki, T (2024). HuR (ELAVL1) regulates the CCHFV minigenome and HAZV replication by associating with viral genomic RNA. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0012553.s001
Hyslop, C, Lutz, N and Galang, JB (2024). Net Zero Stocktake 2024. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.13768013
Molaro, M, Mohan, S, She, B, Chalkley, M, Colbourn, T, Collins, JH, Connolly, E, Graham, MM, Janoušková, E, Li lin, I, Manthalu, G, Mnjowe, E, Nkhoma, D, Twea, PD, Phillips, A, Revill, P, Tamuri, AU, Mfutso-Bengog, J, Mangal, T and Hallett, TB (2024). Data repository for manuscript "A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.13627184
Kim, ES, Adriko, M, Oseku, KC, Lokure, D, Webb, EL and Sabapathy, K (2024). Additional file 1 of Factors associated with hookworm and Schistosoma mansoni infections among school-aged children in Mayuge district, Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26735667.v1
Heinz, E, Pearse, O, Zuza, A, Bilima, S, Msefula, C, Musicha, P, Siyabu, P, Tewesa, E, Graf, FE, Lester, R, Lissauer, S, Cornick, J, Lewis, JM, Kawaza, K, Thomson, NR and Feasey, NA (2024). Additional file 2 of Longitudinal analysis within one hospital in sub-Saharan Africa over 20 years reveals repeated replacements of dominant clones of Klebsiella pneumoniae and stresses the importance to include temporal patterns for vaccine design considerations. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26716636.v1
Mseti, JJ, Maasayi, MS, Lugenge, AG, Mpelepele, AB, Kibondo, UA, Tenywa, FC, Odufuwa, OG, Tambwe, MM and Moore, SJ (2024). Additional file 2 of Temperature, mosquito feeding status and mosquito density influence the measured bio-efficacy of insecticide-treated nets in cone assays. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26699306.v1
Woolf, B, Pedder, H, Rodriguez-Broadbent, H and Edwards, P (2024). Additional file 7 of Silence is golden, but my measures still see—why cheaper-but-noisier outcome measures in large simple trials can be more cost-effective than gold standards. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26759219.v1
Lugenge, AG, Odufuwa, OG, Mseti, JJ, Swai, JK, Skovmand, O and Moore, SJ (2024). Complete series method (CSM): a convenient method to reduce daily heterogeneity when evaluating the regeneration time (RT) of insecticide-treated nets (ITNs). [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.7248714.v1
Kalua, K and Manikavasagar, P (2024). Prevalence and causes of visual impairment among school children in Blantyre, Southern Malawi. [Data Collection]. Mendeley Data. https://doi.org/10.17632/crgbf93fnw.1
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Bagmati Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000360.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Gandaki Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000377.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Karnali Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000361.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Koshi Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000378.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Lumbini Province (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000349.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Madhesh Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000379.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Sudurpashchim Province (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000385.
dzvoti, Segovia De La Revilla, L and Codd, T (2024). dzvoti/r4hces. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.13151206
Mezmur, H, Tefera, M, Jemal, M, Kahsay, B and Assefa, N (2024). Household fuel use and adverse pregnancy outcomes. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26406418.v1
Ratnayake, R (2024). ruwanepi/Uvira_spatiotemporal. [Data Collection]. Github. https://github.com/ruwanepi/Uvira_spatiotemporal
Zeppelini, CG, Paixão, Ana Maria Borges Barreto, Santiago, D, Sady Alves, R, Espirito Santo, V, Mattos, Luciana H. B. V., Fernandes, J, Santos, Renata C. O. P., Oliveira, D, Carneiro, IO, Bazan, L, Eyre, M, Begon, M, Costa, F and Khalil, H (2024). Dataset for Analysis of ecological drivers of Rattus norvegicus positivity for Leptospira sp. and Seoul Hantavirus. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.12688262
Stevens, O and Anderson, R (2024). Population size, HIV prevalence, and antiretroviral therapy coverage among key populations in sub-Saharan Africa: collation and synthesis of survey data 2010-2023. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10838437
Shepherd, JG, Ashraf, S, Salazar-Gonzalez, JF, Salazar, MG, Downing, RG, Bukenya, H, Jerome, H, Mpanga, JT, Davis, C, Tong, L, Sreenu, VB, Atiku, LA, Logan, N, Kajik, E, Mukobi, Y, Mungujakisa, C, Olowo, MV, Tibo, E, Wunna, F, Jackson Ireland, H, Blunsum, AE, Owolabi, I, da Silva Filipe, A, Bwogi, J, Willett, BJ, Lutwama, JJ, Streicker, DG, Kaleebu, P and Thomson, EC (2024). Widespread human exposure to ledanteviruses in Uganda: A population study. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0012297.s006
Koussis, K, Haase, S, Withers-Martinez, C, Flynn, HR, Kunzelmann, S, Christodoulou, E, Ibrahim, F, Skehel, M, Baker, DA and Blackman, MJ (2024). S1 Raw Data for: "Activation loop phosphorylation and cGMP saturation of PKG regulate egress of malaria parasites". [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1012360.s023
Varkonyi, P (2024). Investigating the relationship between corruption and health outcomes in Central and Eastern Europe. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/ILNONJ
Amoah, A and Mclean, E (2024). Dataset for: Factors associated with self-reported diagnosed asthma in urban and rural Malawi: observations from a population-based study of 3 non-communicable diseases. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.12097719
Saso, A (2024). GaPs Clinical Data Dictionaries. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11567608
Saso, A (2024). The Gambian Pertussis Study (GaPs) Protocol: Supplementary data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11567608
Renneker, KK, Mtuy, TB, Kabona, G, Mbwambo, SG, Mosha, P, Mollel, JM, Hooper, P, Emerson, PM, Hollingsworth, TD, Butcher, R, Solomon, AW and Harding-Esch, EM (2024). Framework Matrix. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011941.s004
Van zandvoort, K, Hassan, AI, Bobe, MO, Pell, CL, Ahmed, MS, Ortika, BD, Ibrahim, S, Abdi, MI, Karim, MA, Eggo, RM, Yusuf, S, Hinds, J, Soleman, SM, Cummings, R, Mcgowan, CR, Mulholland, EK, Satzke, C, Hergeeye, MA, Checchi, F and Flasche, S (2024). Pre-vaccination carriage prevalence of Streptococcus pneumoniae serotypes among internally displaced people in Somaliland. Data and analyses. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11493115
Ahimbisibwe, I, Tumusiime, C, Muteebwa, L, Mupere, E and Biraro, IA (2024). Data from: Tuberculosis research in road construction sites. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.t4b8gtj8s
Leem, D, Turon, G, Gruson, H, Chue Hong, N, Kaur Bhogal, S, Lo, S, Druskat, S and Soiland-Reyes, S (2024). Software Contributor Roles Crosswalk. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11202655
Jarvis, CI, Coletti, P, Backer, J, Munday, JD, Faes, C, Beutels, P, Althaus, C, Low, N, Wallinga, J, Hens, N and Edmunds, J (2024). CoMix data (last round in BE, CH, NL and UK). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.11154065
Bousema, T, Collins, K, Ouedraogo, A, Guelbeogo, WM, Soulama, I, Ouattara, M, Sobie, S, Ouedraogo, N, Coulibaly, A, Nombre, A, Lanke, K, Ramjith, J, Awandu, S, Serme, S, Henry, N, Stone, WJR, Ouedraogo, I, Holden, T, Sirima, S, Bradley, J, Soremekun, S, Selvaraj, P, Gerardin, J, Drakeley, C and Tiono, A (2024). The impact of weekly fever-screening and treatment and monthly RDT testing and treatment on the infectious reservoir of malaria in Burkina Faso: results from a cluster-randomised trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.fxpnvx117
Uranw, S, Bhattarai, NR, Cloots, K, Roy, L, Rai, K, Kiran, U, Pyakurel, UR, Lal, BK, Burza, S, Rijal, S, Karki, P, Khanal, B and Hasker, E (2024). Visceral leishmaniasis in the hills of western Nepal- a transmission. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0289578.s004
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Armenia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000355.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bhutan (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000307.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Cambodia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000357.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Cameroon, Centre, Yaounde (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000274.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Inner Mongolia, Hohhot (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000223.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Sichuan, Garze (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000308.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Xinjiang, Altay and Tacheng (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000240.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Egypt, Sohag (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000358.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Ethiopia, Oromia, Jimma (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000382.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Guatemala (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000243.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Hungary (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000244.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: India, Maharashtra, Pune (urban) (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000314.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, Bali (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000249.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, Central Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000250.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, East Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000251.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, Jakarta (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000252.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, Maluku (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000291.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, North Sulawesi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000292.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, North Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000293.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, Nusa Tenggara Timur (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000294.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, South Kalimantan (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000295.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, South Sulawesi (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000213.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, South Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000296.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, West Java (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000226.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, West Papua (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000297.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Indonesia, West Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000298.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kyrgyzstan, North-east (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000359.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kyrgyzstan, South-west (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000320.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Laos (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000321.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Johor and Melaka (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000229.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Kelantan, Terengganu and Pahang (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000230.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Kuala Lumpur, Putrajaya, Selangor and Negeri Sembilan, (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000231.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Perlis, Kedah, Penang and Perak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000232.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Sabah and Labuan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000233.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malaysia, Sarawak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000234.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mexico, Nuevo Leon (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000235.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mexico, Queretaro (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000254.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nigeria, Kogi (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000380.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nigeria, Sokoto, Wurno (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000301.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Pakistan, Khyber Pakhtunkhwa, Mansehra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000302.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Pakistan, Khyber Pakhtunkhwa, Swabi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000303.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Pakistan, Punjab, Lahore City Katchi Abadis (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000333.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Palestine (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000353.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Papua New Guinea, Coastal (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000334.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Papua New Guinea, Highlands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000335.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Papua New Guinea, Islands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000336.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Papua New Guinea, National Capital District (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000337.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Tanzania, Morogoro (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000304.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Bac Ninh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000260.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Binh Duong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000261.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Ca Mau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000262.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Dien Bien (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000263.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Gia Lai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000264.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Ha Tinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000265.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Lam Dong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000266.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Nam Dinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000267.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Phu Tho (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000268.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Quang Ngai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000269.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Quang Tri (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000270.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Tien Giang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000271.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Tuyen Quang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000272.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Vung Tau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000273.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Argentina (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000210.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Barisal, Barisal (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000211.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bolivia (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000220.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Botswana (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000221.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Cambodia, Takeo (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000194.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Guangdong, Chaonan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000195.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Yunnan, Jianchuan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000197.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Yunnan, Lancang (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000198.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Cuba (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000276.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Democratic Republic of Congo, Ituri, Aru and Mahagi (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000242.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Honduras (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000212.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Iran, Kurdistan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000228.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Jordan, Irbid (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000201.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Liberia (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000202.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Madagascar, Analamanga (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000253.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Maldives (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000299.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Moldova (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000203.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mongolia (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000215.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mozambique, Inhambane (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000300.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mozambique, Nampula (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000348.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mozambique, Sofala (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000204.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Narayani (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000256.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Pakistan, FATA, Peshawar (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000257.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Panama (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000216.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Peru (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000183.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Rwanda (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000258.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Saudi Arabia, Makkah, Al Taif (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000185.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Sierra Leone (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000186.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Suriname (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000217.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Tanzania, Singida (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000338.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Timor-Leste (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000305.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Togo (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000238.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Uganda, Central, Mubende (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000206.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Uganda, Northern, Karamoja (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000259.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Uganda, Western, Hoima (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000219.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Uganda, Western, Ntungamo (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000188.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Uruguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000189.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Nghe An (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000207.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Quang Nam (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000208.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Thanh Hoa (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000190.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Zambia, Muchinga (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000339.
Inayat, B, Nyarko, PB, Ba Ash, A, Cohen, C, Ceesay, S, Achan, J, Dabira, E, Nakajima, R, Jain, A, Taghavian, O, Jasinskas, A, Felgner, PL, D'Slessandro, U, Bousema, T, Travassos, M, Radulescu, O and Claessens, A (2024). Diverse and weakly immunogenic var gene expression facilitates malaria infection. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10940094
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Argentina, Buenos Aires (urban) (2003). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000048.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Dhaka, Gazipur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000140.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Dhaka, Jamalpur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000141.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Dhaka, Kishoreganj (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000142.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Dhaka, Tangail (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000169.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Khulna, Kushtia (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000170.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Khulna, Narail (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000143.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bangladesh, Khulna, Satkhira (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000057.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Bhutan (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000118.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Brazil, Sao Paulo, Campinas (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000055.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Burkina Faso, West Central (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000172.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Burundi, Ngozi and Kayanza (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000144.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Cambodia (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000078.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Chile, Bio Bio (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000070.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Hainan (rural) (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000145.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Inner Mongolia, Shangdu (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000146.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Inner Mongolia, Tuoketuo (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000147.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Jiangxi, Gao'an (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000079.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Jiangxi, Wanzai (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000080.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Jiangxi, Xingan (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000081.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Sichuan, Dechang (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000173.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Sichuan, Mianning (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000174.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Yunnan, Kunming (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000071.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: China, Yunnan, Luliang (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000107.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Dominican Republic (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000108.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Ecuador (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000119.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: El Salvador (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000175.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Guatemala, Southwest (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000051.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Guinea Bissau (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000149.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: India, Uttar Pradesh, Chitrakoot (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000110.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Iran, Tehran, Varamin (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000126.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kenya, Coast, Kwale (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000178.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kenya, Eastern, Embu (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000083.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kenya, Rift Valley, Kericho (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000084.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Kenya, Rift Valley, Nakuru (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000063.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Laos (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000085.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Malawi, South-western health zone (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000151.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mali, Koulikoro (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000111.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mali, Koulikoro (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000180.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mexico, Chiapas, Central, Highland and Frailesca (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000152.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mexico, Nuevo Leon (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000064.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Mozambique, Nampula (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000181.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Bagmati (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000112.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Bheri (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000127.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Dhaulagiri (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000154.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Janakpur (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000113.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Karnali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000114.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Koshi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000128.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Mechi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000129.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Rapti (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000155.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Sagarmatha (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000130.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Nepal, Seti and Mahakali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000115.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Palestine (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000116.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Paraguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000182.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Philippines, Western Visayas, Antique (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000076.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Philippines, Western Visayas, Negros (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000067.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Rwanda, South-west (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000077.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Senegal, Fatick (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000156.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Senegal, Kaolack (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000157.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Vietnam, Son La (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000168.
International Centre for Eye Health (2024). Rapid Assessment of Avoidable Blindness Report: Yemen, Amran (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABREPORT.00000134.
Lee, N and Win, TZ (2024). Risk of bias assessment for Corticosteroids for leptospirosis treatment. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10906064
Bousema, T (2024). Data from: Quantification of sporozoite expelling by Anopheles mosquitoes infected with laboratory and naturally circulating P. falciparum gametocytes. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.dbrv15f89
Mousa, A (2024). AndriaMousa/chemoprevention-trial-code. [Data Collection]. GitHub. https://github.com/AndriaMousa/chemoprevention-trial-code
Keegan, S, Pedersen, A and Fenton, A (2024). The impact of within-host coinfection interactions on between-host parasite transmission dynamics varies with spatial scale. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.tdz08kq68
Lim, A and Brady, OJ (2024). OpenDengue/master-repo. [Data Collection]. GitHub. https://github.com/OpenDengue/master-repo
Staedke, SG, Kamya, M, Dorsey, G, Donnelly, M, Nankabirwa, J, Maiteki-Sebuguzi, C, Opigo, J, Greenhouse, B, Briggs, J, Rodriguez-Barraquer, I, Pitt, C, Snyman, K, Namuganga, J and Gonahasa, S (2024). Dataset: LLINEUP2 Cluster Randomized Trial. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_624583e93e/new
Drakeley, C, Dicko, A and Bousema, T (2024). Dataset: NECTAR1 Randomized Controlled Trial. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_7b47eb7469/new
Drakeley, C, Dicko, A and Bousema, T (2024). Dataset: NECTAR2 Randomized Controlled Trial. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_03d6476c6d/new
Drakeley, C, Dicko, A and Bousema, T (2024). Dataset: NECTAR4 Randomized Controlled Trial. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_861ea66681/new
Tiley, K (2024). katietiley/Wolbachia_TPP_PPC. [Data Collection]. Github. https://github.com/katietiley/Wolbachia_TPP_PPC
Aunger, R and Grigoryev, D (2024). Motives validation. [Data Collection]. Open Science Framework. https://osf.io/njkcq/
Cooper, HB, Vezina, B, Hawkey, J, Passet, V, López-Fernández, S, Monk, JM, Brisse, S, Holt, KE and Wyres, KL (2024). Supplemental Data for "A validated pangenome-scale metabolic model for the Klebsiella pneumoniae species complex.". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.24871914.v1
Nilles, EJ and Kucharski, AJ (2024). enilles1/immunoepidemiology. [Data Collection]. Github. https://github.com/enilles1/immunoepidemiology
Okek, EJ, Masembe, FJ, Kiconco, J, Kayiwa, J, Amwine, E, Obote, D, Alele, S, Nahabwe, C, Were, J, Bagaya, B, Balinandi, S, Lutwama, J and Kaleebu, P (2024). Re-testing as a method of implementing external quality assessment program for COVID-19 real time PCR testing in Uganda. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0287272.s001
Page, AE, Sear, R and Ringen, E (2024). Women’s subsistence strategies predict fertility across cultures, but context matters. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/8D9N2
Hodgson, D (2024). dchodge/rsvmabmat. [Data Collection]. GitHub. https://github.com/dchodge/rsvmabmat
Midões, C, De Cian, E, Pasini, G, Pesenti, S and Mistry, M (2024). SHARE-ENV - Exposure to Environmental Hazards. [Data Collection]. Mendeley Data. https://doi.org/10.17632/nx2vhfyrm6.1
Nimmo, C, Ortiz, AT, Tan, CCS, Pang, J, Acman, M, Millard, J, Padayatchi, N, Grant, AD, O’Donnell, M, Pym, A, Brynildsrud, OB, Eldholm, V, Grandjean, L, Didelot, X, Balloux, F and van Dorp, L (2024). Detection of a historic reservoir of bedaquiline/clofazimine resistance-associated variants in Mycobacterium tuberculosis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.7082041.v1
Ndzomo, P, Tchatchouang, S, Tabah, EN, Njamnshi, T, Tsanga, MVN, Bondi, JA, Handley, R, Beiras, CG, Tchatchueng, J, Müller, C, Lüert, S, Knauf, S, Boyomo, O, Harding-Esch, E, Mitja, O, Crucitti, T, Marks, M and Eyangoh, S (2023). Distribution of H. ducreyi and T. pallidum positive participants per site. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011553.s001
Ndzomo, P, Tchatchouang, S, Tabah, EN, Njamnshi, T, Tsanga, MVN, Bondi, JA, Handley, R, Beiras, CG, Tchatchueng, J, Müller, C, Lüert, S, Knauf, S, Boyomo, O, Harding-Esch, E, Mitja, O, Crucitti, T, Marks, M and Eyangoh, S (2023). Socio-demographic characteristics of participants. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011553.s002
Russell, TW (2023). Fits and plot data for the paper: "Combined analyses of within-host SARS-CoV-2 viral kinetics and information on past exposures to the virus in a human cohort identifies intrinsic differences of Omicron and Delta variants". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10223385
Kapulu, MC, Muthumbi, E, Otieno, E, Rossi, O, Ferruzzi, P, Necchi, F, Acquaviva, A, Martin, LB, Orindi, B, Mwai, K, Mwanzu, A, Bigogo, GM, Verani, JR, Mbae, C, Nyundo, C, Agoti, CN, Nakakana, UN, Conti, V, Bejon, P, Kariuki, S, Scott, JAG, Micoli, F and Podda, A (2023). Replication Data for: Age-dependent acquisition of IgG antibodies to Shigella serotypes – a retrospective analysis of sero-prevalence in Kenyan children. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/F5AV5G
Phelan, J and Thorpe, J (2023). jodyphelan/malaria-profiler. [Data Collection]. GitHub. https://github.com/jodyphelan/Malaria-Profiler
Henderson, AD, Butler-Cole, BF, Wiedemann, M, Evans, D and Smith, R (2023). opensafely/openprompt-vaccine-long-covid. [Data Collection]. GitHub. https://github.com/opensafely/openprompt-vaccine-long-covid
Kranzer, K (2023). Data for: "Comprehensive occupational health services for healthcare workers in Zimbabwe during the SARS-CoV-2 pandemic". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003679.
Fu, H (2023). hfu915/dynamice_mrmaps. [Data Collection]. Github. https://github.com/hfu915/dynamice_mrmaps
Wainaina, J, Ogero, M, Mumelo, L, Wairoto, K, Mbevi, G, Tuti, T, Mwaniki, P, Irimu, G, English, M, Aluvaala, J and The Clinical Information Network Author Group (2023). Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/VDSUDE
Mclean, E (2023). Family network and household composition: a longitudinal dataset derived from the Karonga HDSS, in rural Malawi (author-written code). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10037084
Simons, D (2023). DidDrog11/Lassa_phylogeography. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6340162
Perski, O and Simons, D (2023). Dataset and code underpinning "Classification of lapses in smokers attempting to stop: A supervised machine learning approach using data from a popular smartphone application.". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8423920
Qian, GY (2023). GeorgeYQian/Marburg_Branching_Process_Model. [Data Collection]. GitHub. https://github.com/GeorgeYQian/Marburg_Branching_Process_Model
Garcia, KKS, Soremekun, S, Bottomley, C, Abrahão, AA, de Miranda, CB, Drakeley, C, Ramalho, WM and Siqueira, AM (2023). Additional file 2 of Assessing the impact of the “malaria supporters project” intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.24151173.v1
Gomes, MC, Brokatzky, D, Bielecka, MK, Wardle, FC and Mostowy, S (2023). Shigella induces epigenetic reprogramming of zebrafish neutrophils. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE217063
Eckold, C, van Doorn, CL, Dockrell, H, Ottenhoff, TH, Vianello, E and Cliff, JM (2023). Impaired resolution of blood transcriptomes through tuberculosis treatment with diabetes comorbidity. [Data Collection]. NCBI Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193978
Springmann, M, Kennard, H, Dalin, C and Freund, F (2023). Supplementary data file to "International food trade contributes to dietary risks and mortality at global, regional, and national levels". [Data Collection]. University of Oxford. https://doi.org/10.25446/oxford.24085362.v1
Sanderson, T and Ruis, C (2023). theosanderson/molnupiravir. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8101002
Tang, FF, Kosana, P, Jit, M, Terris-Prestholt, F, Wu, D, Ong, JJ and Tucker, JD (2023). PIF influenza costing analysis and probabilistic sensitivity analysis. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001590.s004
Hollingworth, SA, Leaupepe, G, Nonvignon, J, Fenny, AP, Odame, EA and Ruiz, F (2023). Additional file 1 of Economic evaluations of non-communicable diseases conducted in Sub-Saharan Africa: a critical review of data sources. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.24046073.v1
Durán, CE, Messina, D, Gini, R, Riefolo, F, Aragón, M, Belitser, S, Bissacco, CA, Bots, SH, de Burgos, A, Carreras-Martínez, JJ, Correcher-Martínez, E, Douglas, IJ, Garcia-Poza, P, Girardi, A, Herings, R, Hoxhaj, V, Huerta, C, Hyeraci, G, Ientile, V, Ingrasciotta, Y, Limoncella, G, Lupattelli, A, Maglanoc, L, Martin, I, Martin, M, Mira-Iglesias, A, Mohammadi, S, Molero, E, Nordeng, H, Oberski, D, Overbeek, J, Pallejà, M, Riera-Arnau, J, Santacà, K, Siiskonen, S, Souverein, P, Schultze, A, Swart, K, Trifirò, G, Urchueguía, A, Villalobos, F, Weibel, D, Zhao, J, Klungel, O and Sturkenboom, M (2023). Rapid Safety Assessment of SARS-CoV-2 Vaccines in EU Member States using Electronic Health Care Data Sources (COVID Vaccine Monitor-CVM study): Final Study Report for WP3 (electronic health record data). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.10093613
Tarus, A, Msemo, G, Kamuyu, R, Shamba, D, Kirby, RP, Palamountain, KM, Gicheha, E, Kumar, MB, Powell-Jackson, T, Bohne, C, Murless-Collins, S, Liaghati-Mobarhan, S, Morgan, A, Oden, ZM, Richards-Kortum, R and Lawn, JE (2023). Devices and furniture for small and sick newborn care: systematic development of a planning and costing tool. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.6932820.v1
Etyang, AO, Kapesa, S, Odipo, E, Bauni, E, Kyobutungi, C, Abdalla, M, Mutner, P, Musani, SK, Macharia, A, Williams, TN, Cruickshank, JK, Smeeth, L and Scott, JAG (2023). Replication Data for: Effect of Previous Exposure to Malaria on Blood Pressure in Kilifi, Kenya: A Mendelian Randomization Study. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NCFR6X
De Barros, B, Pierce, R, Sprenger, C, Ong, ELH and Walker, SL (2023). COVID-19 vaccination and leprosy–A UK hospital-based retrospective cohort study. Database. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011493.s001
Picbougoum, TB, Somda, MS, Zango, SH, Lohmann, J, De Allegri, M, Saidou, H, Hien, H, Meda, N and Robert, A (2023). Study database from the baseline survey of the impact evaluation of the PBF program in Burkina Faso. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001248.s001
Perera, V, Allen, LN, Farrand, C, Kwong, EJL, Liyanage, I and Wickramasinghe, K (2023). Evaluating the role of salt intake in achieving WHO NCD targets in the Eurasian Economic Union: A PRIME modeling study. S1 File. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0289112.s012
Santana-Penin, U, Lopez-Cedrun, J, Santana-Mora, U, Mora, MJ, Lorenzo-Franco, F, Varela-Centelles, P, López-Solache, A, Collier, T and Pocock, SJ (2023). Remodeling dental anatomy vs sham therapy for chronic temporomandibular disorders: A placebo-controlled randomized clinical trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.zkh189370
Abouyannis, M, Boga, M, Amadi, D, Ouma, N, Nyaguara, A, Mturi, N, Berkley, JA, Adetifa, IMO, Casewell, NR, Lalloo, DG and Hamaluba, M (2023). The de-identified final dataset for the study population. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010987.s002
Gates Enterics Project, Kotloff, K, Hossain, MJ, Sow, S and Omore, R (2023). VIDA Case Control. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_0605f599e5
Khan, D (2023). Kit comparison data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.23269328.v3
Kim, ES, Adriko, M, Aidah, W, Oseku, KC, Lokure, D, Sabapathy, K and Webb, EL (2023). The impact of dual- versus single-dosing and fatty food co-administration on albendazole efficacy against hookworm among children in Mayuge district, Uganda: Results from a 2x2 factorial randomised controlled trial. S1 Data. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0011439.s006
Ramaprasad, A, Burda, P, Koussis, K, Thomas, JA, Pietsch, E, Calvani, E, Howell, SA, MacRae, JI, Snijders, AP, Gilberger, T and Blackman, MJ (2023). Label-free quantitation of proteins detected in SUB1-null schizonts in the presence or absence of C2. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1011449.s007
Ramaprasad, A, Burda, P, Koussis, K, Thomas, JA, Pietsch, E, Calvani, E, Howell, SA, MacRae, JI, Snijders, AP, Gilberger, T and Blackman, MJ (2023). Raw peak intensities of various lipid species measured in LCAT:2loxPint egress-stalled schizonts following mock-or RAP-treatment at ring stages. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1011449.s008
Ramaprasad, A, Burda, P, Koussis, K, Thomas, J, Pietsch, E, Calvani, E, Howell, SA, MacRae, JI, Snijders, AP, Gilberger, T and Blackman, MJ (2023). Sequences of oligonucleotides and other synthetic DNA used in this study. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1011449.s006
Gibbs, H (2023). hamishgibbs/ghana_cdr_aggregation. [Data Collection]. Github. https://github.com/hamishgibbs/ghana_cdr_aggregation
Hyslop, C, Lutz, N, Tam, C, Thu, N, Main, L, Abdelaziz, S, Acikalin, D, Adams, B, Ahn, DE, Apenuwa, O, Barnes, A, Beever, A, Bill, C, Booth, A, Borthakur, B, Boyer, S, Boyes, K, Brown, S, Cairns, G, Candler, A, Collett, M, Collin, A, Coulthard, C, Dantas, L, Dariye, E, Dunn, A, Efthimiou, A, El Kilany, M, Fan, N, Fowks, L, Galang, JB, Glanz, B, Gonzales, J, Hard Af Segerstad-Smith, M, Harris, A, Hooseria, S, Hu, A, Hylton, A, James, M, Janiurek, A, Jones, O, Kamenkovich,, N, Katalan Nasi, A, Kennelly, R, Kline, K, Konle, J, Kunde, H, Laughton, I, Layton, E, Le, A, Lee, S, Linehan-Hill, H, Maddinson, C, Monikowska, L, Murrell, C, Muza, M, Needham-Hewavisenti, E, Newton, A, O'Keeffe, F, Palacio Sasse, L, Pang, SA, Parker, R, Perry, J, Prince, N, Ray, S, Reid, P, Robertson, M, Sakari, RR, Sarro, C, Seo, H, Shen, R, Shen, Q, Sherif, S, Shrestha, K, Spacey Martin, R, Speake, E, Sun, A, Taylor, H, Teginbayev, D, Troiano, M, Trung, I, Usman, I, Von Alten-Reuss, G, Wallock, W, Wang, H, Ward, J, Xia, M, Zionts, J and Zhukova, A (2023). Net Zero Stocktake 2023. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8021260
Nightingale, E (2023). esnightingale/vl-collection-methods-xm. [Data Collection]. GitHub. https://github.com/esnightingale/vl-collection-methods-xm
White, J, Hawkins, J, Murphy, S, Towson, J, Cannings-John, R, Madden, K, Rona, C, Hickman, M, Moore, L, Bonell, C, Parrott, S, Zammit, S and Hines, L (2023). The FRANK friends study: Data. [Data Collection]. Cardiff University, Cardiff, Wales. https://doi.org/10.17035/d.2023.0244798057
Matthewman, J (2023). Analysis code and codelists for the UK part of the study "Association of different prescribing patterns for oral corticosteroids with fracture preventive care among older adults: Population-based cohort studies in the UK and Canada". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7950693
Bolt, H (2023). ehr-lshtm/acute_kidney_injury_seasonality_ML. [Data Collection]. GitHub. https://github.com/ehr-lshtm/acute_kidney_injury_seasonality_ML
Kim, C, Abbas, KM and vaccine-impact (2023). vaccine-impact/vaccine_amr. [Data Collection]. Github. https://github.com/vaccine-impact/vaccine_amr
Bosse, NI, Abbott, S, Bracher, J, Van leeuwen, E, Cori, A and Funk, S (2023). Data for "Human judgement forecasting of COVID-19 in the UK" by Bosse et. al (2023). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7897288
Leung, WTM, Rudge, JW and Fournié, G (2023). Supplementary material from "Simulating contact networks for livestock disease epidemiology: a systematic review". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.6631153.v1
Dorsey, G, Kamya, M, Greenhouse, B, Arinaitwe, E, Kilama, M, Nankabirwa, J, Rek, J, Nsobya, S, Mawejje, H, Nzarubara, B, Lavoy, G, Kizza, T, Musiime, A, Kigozi, S, Ssewanyana, I, Rosenthal, P, Rodriguez-Barraquer, I, Clark, T, Conrad, M, Staedke, SG, Drakeley, C, Donnelly, M, Lindsay, S, Smith, D, Bousema, T and Andolina, C (2023). Dataset: PRISM2 ICEMR Cohort. [Data Collection]. ClinEpiDB. https://clinepidb.org/ce/app/workspace/analyses/DS_51b40fe2e2/new
Tashiro, M, Sato, S and Endo, A (2023). Decreased community-acquired pneumonia coincided with rising awareness of precautions before governmental containment policy in Japan. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7891634
Khan, B, Hameed, W and Iqbal Avan, B (2023). Training of maternity service providers on supportive and dignified maternity care: pre-post training assessment. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.h44j0zpq5
Sharma waddington, H, Masset, E, Bick, S and Cairncross, S (2023). Data for: "Impact on childhood mortality of interventions to improve drinking water, sanitation, and hygiene (WASH) to households: Systematic review and meta-analysis". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003398.
Marlais, T, Bickford-Smith, J, Talavera-López, C, Le, H, Chowdhury, F and Miles, MA (2023). BLAST results: S. stercoralis orthologues of the S. ratti E/S proteome. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010777.s003
García, GA, Janko, M, Hergott, DEB, Donfack, OT, Smith, JM, Mba Eyono, JN, DeBoer, KR, Nguema Avue, RM, Phiri, WP, Aldrich, EM, Schwabe, C, Stabler, TC, Rivas, MR, Cameron, E, Guerra, CA, Cook, J, Kleinschmidt, I and Bradley, J (2023). Additional file 1 of Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventions. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22610438.v1
Spadar, A, Perdigão, J, Campino, S and Clark, TG (2023). Additional file 2 of Large-scale genomic analysis of global Klebsiella pneumoniae plasmids reveals multiple simultaneous clusters of carbapenem-resistant hypervirulent strains. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22611932.v1
Otiende, M, Nyaguara, A, Bottomley, C, Walumbe, D, Mochamah, G, Amadi, D, Nyundo, C, Kagucia, E, Etyang, A, Adetifa, I, Brand, S, Maitha, E, Chondo, E, Nzomo, E, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng'ang'a, W, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Agweyu, A, Williams, TN and Scott, JAG (2023). Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/HAGRAK
Richards, AS (2023). alexandrasrichards/natural_history_tb_disease. [Data Collection]. GitHub. https://github.com/alexandrasrichards/natural_history_tb_disease
Pry, J, Simbeza, S, Geng, E, Mutale, J, Sikombe, K, Jere, L, Bukankala, C and Beres, L (2023). Depression among healthcare workers in Lusaka, Zambia during the COVID-19 pandemic. [Data Collection]. Dryad. https://doi.org/10.25338/B8S646
Monod, M, Brizzi, A, Galiwango, R, Ssekubugu, R, Chen, Y, Xi, X, Kankaka, EN, Ssempijja, V, Abeler-Dörner, L, Akullian, A, Pereira Blenkinsop, A, Bonsall, D, Chang, L, Dan, S, Fraser, C, Golubchik, T, Gray, R, Jackson, J, Kigozi, G, Laeyendecker, O, Mills, L, Quinn, T, Reynolds, SJ, Santelli, J, Sewankambo, N, Spencer, S, Ssekasanvu, J, Waver, M, Serwadda, D, Godfrey-Faussett, P, Kagaayi, J, Grabowski, MK, Ratmann, O, Rakai Health Sciences Program and PANGEA-HIV consortium (2023). Phylogenetic and epidemiologic data relating to age-specific HIV incidence and transmission in Rakai, Uganda, 2003-2018. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7741616
Monod, M, Brizzi, A, Ratmann, O, Dan, S, Xi, X, Galiwango, R, Ssekubugu, R, Chen, Y, Kankaka, EN, Ssempijja, V, Abeler-Dörner, L, Akullian, A, Blenkinsop, AP, Bonsall, D, Chang, L, Fraser, C, Golubchik, T, Gray, R, Jackson, J, Laeyendecker, O, Mills, L, Quinn, T, Santelli, J, Sewankambo, N, Spencer, S, Ssekasanvu, J, Waver, M, Serwadda, D, Godfrey-Faussett, P, Kagaayi, J and Grabowski, MK (2023). Phylogenetic and epidemiologic data relating to age-specific HIV incidence and transmission in Rakai, Uganda, 2003-2018. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7741616
Masselot, P and Gasparrini, A (2023). Temperature-related mortality exposure-response functions for 854 cities in Europe. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7672107
Raghavan, M, Kalantar, K, Duarte, E, Teyssier, N, Takahashi, S, Kung, A, Rajan, JU, Rek, J, Tetteh, KKA, Drakeley, C, Ssewanyana, I, Rodriguez-Barraquer, I, Greenhouse, B and DeRisi, J (2023). Proteome-wide antigenic profiling in Ugandan cohorts identifies associations between age, exposure intensity, and responses to repeat-containing antigens in Plasmodium falciparum. [Data Collection]. Dryad. https://doi.org/10.7272/Q69S1P9G
Daynes, E, Baldwin, M, Greening, NJ, Yates, T, Bishop, NC, Mills, G, Roberts, M, Hamrouni, M, Plekhanova, T, Vogiatzis, I, Echevarria, C, Nathu, R, McAuley, HJC, Latimer, L, Glennie, J, Chambers, F, Penfold, R, Hume, E, Megaritis, D, Alexiou, C, Potthoff, S, Hogg, MJ, Haighton, C, Nichol, B, Leavy, OC, Richardson, M, Elneima, O, Singapuri, A, Sereno, M, Saunders, RM, Harris, VC, Nolan, CM, Bolton, C, Houchen-Wolloff, L, Harrison, EM, Lone, N, Quint, J, Chalmers, JD, Ho, L, Horsley, A, Marks, M, Poinasamy, K, Ramen, B, Wain, LV, Brightling, C, Man, WD, Evans, R and Singh, SJ (2023). Supplementary information files for The effect of COVID rehabilitation for ongoing symptoms post hospitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortium. [Data Collection]. Loughborough University. https://doi.org/10.17028/rd.lboro.22189279.v1
Phelan, J and Manko, E (2023). jodyphelan/malaria-db. [Data Collection]. GitHub. https://github.com/jodyphelan/malaria-db
Pietersen, E, Anderson, K, Cox, H, Dheda, K, Bian, A, Shepherd, BE, Sterling, TR, Warren, RM and van der Heijden, YF (2023). Data for: "Variation in missed doses and reasons for discontinuation of anti-tuberculosis drugs during hospital treatment for drug-resistant tuberculosis in South Africa". [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0281097.s001
Chatterjee, S, Das, P, Shikhule, A, Munje, R and Vassall, A (2023). Journey of the tuberculosis patients in India from onset of symptom till one-year post-treatment. Complete dataset. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001564.s009
Koltai, M (2023). mbkoltai/RSV-CEA-Kenya-South-Africa. [Data Collection]. Github. https://github.com/mbkoltai/RSV-CEA-Kenya-South-Africa
Riffe, T and Aburto, JM (2023). A global assessment of the impact of violence on lifetime uncertainty. [Data Collection]. OSF. https://osf.io/degjy
Adeyemi, OO, Ndodo, ND, Sulaiman, MK, Ayansola, OT, Buhari, OIN, Akanbi, OA, Bolarinwa, OA, Chukwu, C, Joel, IY, Omoare, AA, Wahab, KW, Obiekea, C, Buhari, MO, Ahumibe, A, Kolawole, CF, Okoi, C, Omotesho, OB, Mba, N, Adeniyi, O, Babatunde, O, Akintunde, N, Ayinla, G, Akande, OW, Odunola, RA, Saka, MJ, Musa, OI, Durotoye, IA, Ihekweazu, C, Adetifa, IM and Fadeyi, A (2023). SARS-CoV-2 variants-associated outbreaks of COVID-19 in a tertiary institution, North-Central Nigeria: Implications for epidemic control. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0280756.s003
Procter, SR (2023). mert0248/GBS-vax-econ-model. [Data Collection]. Github. https://github.com/mert0248/GBS-vax-econ-model
Salowi, MA (2023). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Eastern Zone (2023). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.e33de761-adce-4809-acb1-4bebe18ec108.
Salowi, MA (2023). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Sarawak (2023). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.3478c85a-5395-4d51-8982-ffefee85bfb9.
Colón-González, FDJ, Gibb, R, Khan, K, Watts, A, Lowe, R and Brady, OJ (2022). Projecting the future incidence and burden of dengue in Southeast Asia. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/85XWQ
Shanaube, K, Gachie, T, Hoddinott, G, Schaap, A, Floyd, S, Mainga, T, Bond, V, Hayes, R, Fidler, S and Ayles, H (2022). Depressive symptoms and HIV risk behaviours among adolescents enrolled in the HPTN071 (PopART) trial in Zambia and South Africa. Aggregate dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278291.s012
Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). Gene ontology (GO) enrichment analysis results for significantly upregulated genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s003
Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG and gene ontology (GO) enrichment analyses for significantly differentially expressed genes between low and high PET score groups for the terms and pathways identified in the main analyses. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s005
Meier, S, Seddon, JA, Maasdorp, E, Kleynhans, L, du Plessis, N, Loxton, AG, Malherbe, ST, Zak, DE, Thompson, E, Duffy, FJ, Kaufmann, SHE, Ottenhoff, THM, Scriba, TJ, Suliman, S, Sutherland, JS, Winter, J, Kuivaniemi, H, Walzl, G and Tromp, G (2022). KEGG pathway enrichment analysis results for significantly differentially expressed genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s004
Kane, L (2022). Investigation of Vibrio cholerae pathogenesis using a novel human intestinal model of infection. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04670346
Woodward, A, Fuhr, DC, Barry, AS, Balabanova, D, Sondorp, E, Dieleman, MA, Pratley, P, Schoenberger, SF, Mckee, M, Ilkkursun, Z, Acarturk, C, Burchert, S, Knaevelsrud, C, Brown, FL, Steen, F, Spaaij, J, Morina, N, de Graaff, AM, Sijbrandij, M, Cuijpers, P and Roberts, B (2022). Supplementary materials for "Health system responsiveness to the mental health needs of Syrian refugees: mixed-methods rapid appraisals in eight host countries in Europe and the Middle East ". [Data Collection]. DataverseNL. https://doi.org/10.34894/DOMHPZ
Jarju, S, Senghore, E, Brotherton, H, Saidykhan, A, Jallow, S, Krubally, E, Sinjanka, E, Ndene, MN, Bajo, F, Sanyang, MM, Saidy, B, Bah, A, Mohammed, NI, Forrest, K, Clarke, E, Dalessandro, U, Sesay, AK, Usuf, E, Cerami, C, Roca, A, Kampmann, B and De silva, T (2022). Circulation of respiratory viruses during the COVID-19 pandemic in the Gambia. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/TSF78
Gombe, B, Streatfield, C, Leal, L, Opio, S, Joseph, S, Weber, J, Hare, J, Kaleebu, P and Serwanga, J (2022). Optimization and validation of an ELISA assay for the determination of antibody responses to CN54gp140 and AIDSVAX BE for use in the Phase IIb PrEPVacc vaccine trial. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0275927.s001
Piper, J, Ntozini, R, Prendergast, A, Mwapaura, MT and Chidhanguro, D (2022). Adaptation of the Kaufman Assessment Battery for Children—2nd edition (KABC-II) to assess school-age neurodevelopment in rural Zimbabwe. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/T6GXB
Barreto, APA, Filho, MAB, Duarte, LC, Cerqueira-Silva, T, Camelier, A, Tavares, NM, Barral-Netto, M, Boaventura, V and Lima, MCC (2022). Dataset for: Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0276771.s011
Gallandat, K (2022). Water Supply Service Index. [Data Collection]. OSF. https://osf.io/76sev/
Makori, TO, Bargul, JL, Lambisia, AW, Mwanga, MJ, Murunga, N, Laurent, ZRd, Lewa, CS, Mutunga, M, Phan, M, Cotten, M, Nokes, DJ and Agoti, CN (2022). Replication Data for: Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus introduction, 2012-2018. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/P4MRVF
Soremekun, O, Slob, EAW, Burgess, S, Boua, PR, Fatumo, S and Gill, D (2022). Genetically predicted lipid traits, diabetes mellitus liability and carotid intima-media thickness in African ancestry individuals: a Mendelian randomization study. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7229644
Benest, J (2022). ISIDLSHTM/CoBeDOA_Data. [Data Collection]. GitHub. https://github.com/ISIDLSHTM/CoBeDOA_Data
Chan, K, Tusting, LS, Bottomley, C, Saito, K and Lines, J (2022). Replication Data for: Malaria transmission and prevalence in rice-growing versus non-rice-growing villages in Africa: a systematic review and meta-analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PXF0JX
Ling, S (2022). supingling/HbA1c_cancer_meta-analysis. [Data Collection]. Github. https://github.com/supingling/HbA1c_cancer_meta-analysis
Ijaz, UZ, Gundogdu, O, Keating, C, Eekert, Mv, Gibson, W, Parkhill, J, Abilahi, F, Liseki, B, Nguyen, V, Sudgen, S, Quince, C, Ensink, JHJ, Torondel, B and Walker, AW (2022). Analysis of pit latrine microbiota reveals depth-related variation in composition, and key parameters and taxa associated with latrine fill-up rate. [Data Collection]. Frontiers. https://doi.org/10.3389/fmicb.2022.960747.s008
Kibirige, D, Sekitoleko, I, Balungi, P, Kyosiimire-Lugemwa, J and Lumu, W (2022). Additional file 1 of Clinical, metabolic, and immunological characterisation of adult Ugandan patients with new-onset diabetes and low vitamin D status. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21130068.v1
Kaswaswa, K, MacPherson, P, Kumwenda, M, Mpunga, J, Thindwa, D, Nliwasa, M, Mwapasa, M, Odland, J, Tomoka, T, Chipungu, G, Mukaka, M and Corbett, EL (2022). Effect of patient-delivered household contact tracing and prevention for tuberculosis: A household cluster-randomised trial in Malawi. Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.1371/journal.pone.0269219.s002
Lee, SA (2022). sophie-a-lee/spatial_smooth_framework: Data and R code to accompany 'A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7054456
Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Crude and adjusted odds ratios of home versus PHC birth (left) and hospital versus PHC birth (right) in each year of DHS survey, in rural women with a recent live birth. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s004
Straneo, M, Beňová, L, van den Akker, T, Pembe, AB, Smekens, T and Hanson, C (2022). Key policies in Tanzania which influenced where women can give birth from independence. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000345.s001
Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2022). Summary characteristics of AGYW by schooling status at baseline and by invitation to DREAMS. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s010
Abudu, R, Oliver, K and Boaz, A (2022). Additional file 2 of What funders are doing to assess the impact of their investments in health and biomedical research. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20461956.v1
Simpson, H (2022). Study toolkit for: Effectiveness of community-based burden estimation to achieve elimination of lymphatic filariasis: a comparative cross-sectional investigation in Côte d’Ivoire. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/K2S1R2
Allel, K, Abou Jaoude, GJ, Birungi, C, Palmer, T, Skordis, J and Haghparast-Bidgoli, H (2022). Technical efficiency of national HIV/AIDS spending in 78 countries between 2010 and 2018: A data envelopment analysis. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000463.s002
Allel, K, Abou Jaoude, GJ, Birungi, C, Palmer, T, Skordis, J and Haghparast-Bidgoli, H (2022). Technical efficiency of national HIV/AIDS spending in 78 countries between 2010 and 2018: A data envelopment analysis. S2 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000463.s003
Nakamanya, S, Kawuma, R, Kibuuka, D, Kusemererwa, S, McCormack, S, Ruzagira, E and Seeley, J (2022). Registration cohort–followup data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0271104.s002
Burke, R (2022). rachaelmburke/tbacf. [Data Collection]. Github. https://github.com/rachaelmburke/tbacf
Guzman, FD, Iwamoto, Y, Saito, N, Salva, EP, Dimaano, EM, Nishizono, A, Suzuki, M, Oloko, O, Ariyoshi, K, Smith, C, Parry, CM and Solante, RM (2022). Clinical, epidemiological, and spatial features of human rabies cases in Metro Manila, the Philippines from 2006 to 2015. Study data. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010595.s004
Fabian, J, Gondwe, M, Mayindi, N, Khoza, B, Gaylard, P, Wade, AN, Gómez‑Olivé, FX, Tomlinson, LA, Ramsay, M, Tollman, SM, Winkler, C, George, JA and Naicker, S (2022). Dataset from: Chronic kidney disease (CKD) and associated risk in rural South Africa: a population-based cohort study. [Data Collection]. University of the Witwatersrand, Johannesburg. https://doi.org/10.54223/uniwitwatersrand-10539-33016
Barnard, RC (2022). rosannaclairebarnard/covidm-mtd-Omi. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6806636
Baiden, F, Fleck, S, Leigh, B, Ayieko, P, Tindanbil, D, Otieno, T, Lawal, B, Tehtor, M, Rogers, M, Odeny, L, Hodges, MH, Sonnie, M, Samai, M, Ishola, D, Lowe, B, Watson-jones, D and Greenwood, B (2022). Prevalence of malaria and helminth infections in rural communities in northern Sierra Leone, a baseline study to inform Ebola vaccine study protocols. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0270968.s001
Kumssa, DB, Mossa, A, Amede, T, Ander, E, Bailey, E, Botoman, L, Chagumaira, C, Chimungu, J, Davis, K, Gameda, S, Haefele, S, Hailu, K, Joy, EJM, Lark, R, Ligowe, I, Muleya, P, McGrath, S, Milne, A, Munthali, M, Towett, E, Walsh, M, Wilson, L, Young, S, Nalivata, P, Gashu, D, Broadley, M and Haji, IR (2022). Cereal grain mineral micronutrient and soil chemistry data from GeoNutrition surveys in Ethiopia and Malawi. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.15911973.v1
Thindwa, D, Jambo, KC, Ojal, J, MacPherson, P, Dennis Phiri, M, Pinsent, A, Khundi, M, Chiume, L, Gallagher, KE, Heyderman, RS, Corbett, EL, French, N and Flasche, S (2022). deusthindwa/social.contact.rates.estimation.hiv.malawi. [Data Collection]. Github. https://github.com/deusthindwa/social.contact.rates.estimation.hiv.malawi
Fabian, J, Kalyesubula, R, Mkandawire, J, Hansen, C, Nitsch, D, Musenge, E, Nakanga, WP, Prynn, JE, Dreyer, G, Snyman, T, Ssebunnya, B, Ramsay, M, Smeeth, L, Tollman, S, Naicker, S, Crampin, AC, Newton, R, George, JA and Tomlinson, LA (2022). ARKconsortium/iohexol_mGFR_eGFR. [Data Collection]. Github. https://github.com/ARKconsortium/iohexol_mGFR_eGFR
O'Reilly, KM (2022). kath-o-reilly/wbe_prevalence_england_python. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6674384
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S1 Data for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s011
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S1 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s003
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S2 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s004
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S3 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s005
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S4 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s006
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S5 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pgph.0000599.s007
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S6 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s008
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S7 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s009
Aikaeli, F, Njim, T, Gissing, S, Moyo, F, Alam, U, Mfinanga, SG, Okebe, J, Ramaiya, K, Webb, EL, Jaffar, S and Garrib, A (2022). S8 Table for "Prevalence of microvascular and macrovascular complications of diabetes in newly diagnosed type 2 diabetes in low-and-middle-income countries: A systematic review and meta-analysis". [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000599.s010
Dadari, I, Ropiti, L, Patson, A, Okia, P, Narasia, J, Hare’e, T, Namohunu, S, Ogaoga, D, Gaiofa, J and Usuf, E (2022). An assessment of vaccine wastage in the Solomon Islands. S1 Data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000572.s002
Uganda Medical Informatics Centre (2022). APCDR Uganda GWAS - UG2G dataset: Whole genome low depth sequence data for 2000 Ugandans (BAMs). [Data Collection]. European Genome-phenome Archive. https://ega-archive.org/datasets/EGAD00001001639
Pinto, M, Moreira, MEL, Barros, Letícia Baptista de Paula, Costa, Ana Carolina Carioca da, Fernandes, S and Kuper, H (2022). Catastrophic expenditure on congenital Zika syndrome: results of a cross-sectional study of caregivers of children in Rio de Janeiro, Brazil. [Data Collection]. SciELO journals. https://doi.org/10.6084/m9.figshare.19969088.v1
Bacigalupo, S, Ruby Chang, Y, Dixon, L, Gubbins, S, Kucharski, AJ and Drewe, J (2022). The importance of fine-scale predictors of wild boar habitat use in an isolated population. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.4mw6m90cx
Gibson, AJ, Stiens, J, Passmore, IJ, Faulkner, V, Miculob, J, Willcocks, S, Coad, M, Berg, S, Werling, D, Wren, BW, Nobeli, I, Villarreal-Ramos, B and Kendall, SL (2022). Defining the genes required for survival of Mycobacterium bovis in the bovine host offers novel insights into the genetic basis of survival of pathogenic mycobacteria. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6598445
Wick, R, kelwyres and Holt, KE (2022). katholt/Kaptive. [Data Collection]. Github. https://github.com/katholt/Kaptive
Saito, N, Solante, RM, Guzman, FD, Telan, EO, Umipig, DV, Calayo, JP, Frayco, CH, Lazaro, JC, Ribo, MR, Dimapilis, AQ, Dimapilis, VO, Villanueva, AM, Mauhay, JL, Suzuki, M, Yasunami, M, Koizumi, N, Kitashoji, E, Sakashita, K, Yasuda, I, Nishiyama, A, Smith, C, Ariyoshi, K and Parry, CM (2022). A prospective observational study of community-acquired bacterial bloodstream infections in Metro Manila, the Philippines. Data file of the study. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010414.s003
Oresegun, DR, Thorpe, P, Benavente, ED, Campino, S, Muh, F, Moon, RW, Clark, TG and Cox-Singh, J (2022). De Novo Assembly of Plasmodium knowlesi Genomes From Clinical Samples Explains the Counterintuitive Intrachromosomal Organization of Variant SICAvar and kir Multiple Gene Family Members. [Data Collection]. Frontiers. https://doi.org/10.3389/fgene.2022.855052.s001
Bonnet, G, Pizzitutti, F, Gonzales-Gustavson, EA, Gabriël, S, Pan, WK, Garcia, HH, Bustos, JA, Vilchez, P and O’Neal, SE (2022). Dataset for calcified NCC (Matapalo area villages). [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010118.s006
Bonnet, G, Pizzitutti, F, Gonzales-Gustavson, EA, Gabriël, S, Pan, WK, Garcia, HH, Bustos, JA, Vilchez, P and O’Neal, SE (2022). Dataset for epilepsy figures (Tumbes region). [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010118.s005
Zhu, K, Suttner, B, Knee, J, Capone, D, Moe, CL, Stauber, CE, Konstantinidis, KT, Wallach, TE, Pickering, AJ and Brown, J (2022). Elevated Fecal Mitochondrial DNA from Symptomatic Norovirus Infections Suggests Potential Health Relevance of Human Mitochondrial DNA in Fecal Source Tracking. [Data Collection]. ACS Publications. https://doi.org/10.1021/acs.estlett.2c00140.s002
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Lithuania). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542667
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Switzerland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542656
Semieniuk, G, Holden, PB, Mercure, J, Salas, P, Pollitt, H, Jobson, K, Vercoulen, P, Chewpreecha, U, Edwards, NR and Viñuales, JE (2022). Figure data and model used in Stranded fossil-fuel assets translate to major losses for investors in advanced economies. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6347121
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Estonia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535312
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Hungary). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535343
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Slovakia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535356
Benest, J, Rhodes, S, Evans, TG and White, RG (2022). ISIDLSHTM/Model_Size_Selection. [Data Collection]. Github. https://github.com/ISIDLSHTM/Model_Size_Selection
Ross, I (2022). Effectiveness of handwashing on ARI. [Data Collection]. Open Science Framework. https://doi.org/10.17605/OSF.IO/3EF5Y
Biggs, J, Sy, AK, Ashall, J, Santoso, MS, Brady, OJ, Reyes, MAJ, Quinones, MA, Jones-Warner, W, Tandoc, AO, Sucaldito, NL, Huynh, KM, Le, TL, Hung, DT, Nguyen, HAT, Dang, DA, Iwasaki, C, Kitamura, N, Van Loock, M, Herrera-Taracena, G, Menten, J, Rasschaert, F, Van Wesenbeeck, L, Masyeni, S, Haryanto, S, Yohan, B, Cutiongco-de la Paz, E, Yoshida, L, Hue, S, Capeding, MRZ, Padilla, CD, Sasmono, RT, Hafalla, JCR and Hibberd, ML (2022). Demographic characteristics of the reporting study population at enrolment. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010365.s002
Biggs, J, Sy, AK, Ashall, J, Santoso, MS, Brady, OJ, Reyes, MAJ, Quinones, MA, Jones-Warner, W, Tandoc, AO, Sucaldito, NL, Huynh, KM, Le, TL, Hung, DT, Nguyen, HAT, Dang, DA, Iwasaki, C, Kitamura, N, Van Loock, M, Herrera-Taracena, G, Menten, J, Rasschaert, F, Van Wesenbeeck, L, Masyeni, S, Haryanto, S, Yohan, B, Cutiongco-de la Paz, E, Yoshida, L, Hue, S, Capeding, MRZ, Padilla, CD, Sasmono, RT, Hafalla, JCR and Hibberd, ML (2022). Sensitivity (95%CI) of NS1 RDTs in capturing DENV1-4 infections stratified by immune status among patients from Vietnam (N:1,217). [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010365.s003
Han, Q, Zheng, B, Abakoumkin, G, Leander, NP and Stroebe, W (2022). PsyCorona Dataset. [Data Collection]. DataverseNL, The Netherlands. https://doi.org/10.34894/PX5IVZ
Oliphant, N, Ray, N, Curtis, A, Musa, E, Sesay, M, Kandeh, J, Kamara, A, Chimoun, EFT, Jackson, D and Doherty, T (2022). Supplementary appendix 1b of Oliphant NP, Ray N, Curtis A et al. Optimizing scale and deployment of CHWs in Sierra Leone: a geospatial analysis. 2021. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5712134
Mcharo, R (2022). STIs prevalence among young adults aged 18-24years in Mbeya-Tanzania. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19093115.v3
Tandon, R, Vashist, P, Gupta, N, Gupta, V, Yadav, S, Deka, D, Singh, S, Vishwanath, K and Murthy, G (2022). ICMR_Pterygium_Study_Data.csv. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19626003.v1
Tazare, J and Walker, A (2022). opensafely/post-covid-outcomes-research. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6475807
Robert, A (2022). alxsrobert/evd-transmission-trees. [Data Collection]. Github. https://github.com/alxsrobert/evd-transmission-trees
Messenger, LA and Pelloquin, B (2022). Code for analysis of mosquito microbiota data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4548775
Gasparrini, A (2022). gasparrini/Extended2stage. [Data Collection]. Github. https://github.com/gasparrini/Extended2stage
Fongnikin, A, Odjo, A, Akpi, J, Kiki, L and Ngufor, C (2022). Detailed experimental hut data against wild free-flying pyrethroid resistant An gambiae s.l. in Cove, Benin. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0267229.s001
Endo, A (2022). akira-endo/reanalysis_Fukumoto2021: 'Not finding causal effect' is not 'finding no causal effect' of school closure on COVID-19. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6457915
Kibondo, UA, Odufuwa, OG, Ngonyani, SH, Mpelepele, AB, Matanilla, I, Ngonyani, H, Makungwa, NO, Mseka, AP, Swai, K, Ntabaliba, W, Stutz, S, Austin, JW and Moore, SJ (2022). Additional file 3 of Influence of testing modality on bioefficacy for the evaluation of Interceptor® G2 mosquito nets to combat malaria mosquitoes in Tanzania. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19582050.v1
Pierret, A, Ribolzi, O, Pongmala, K, Oliva, P, Pando, A, Davong, V, Rattanavong, S, Silvera, N, Luangraj, M, Boithias, L, Xayyathip, K, Menjot, L, Macouin, M, Rochelle-Newall, E, Robain, H, Vongvixay, A, Simpson, AJH and Dance, DAB (2022). Distribution of Burkholderia pseudomallei and soil properties within a 300-cm deep profile. [Data Collection]. DataSuds. https://doi.org/10.23708/L3IJGD
Liu, Y (2022). yangclaraliu/COVID_Vac_Delay. [Data Collection]. Github. https://github.com/yangclaraliu/COVID_Vac_Delay
Ndlangisa, KM, du Plessis, M, Lo, S, de Gouveia, L, Chaguza, C, Antonio, M, Kwambana-Adams, B, Cornick, J, Everett, DB, Dagan, R, Hawkins, PA, Beall, B, Corso, A, Grassi Almeida, SC, Ochoa, TJ, Obaro, S, Shakoor, S, Donkor, ES, Gladstone, RA, Ho, PL, Paragi, M, Doiphode, S, Srifuengfung, S, Ford, R, Moïsi, J, Saha, SK, Bigogo, G, Sigauque, B, Eser, Özgen Köseoglu, Elmdaghri, N, Titov, L, Turner, P, Kumar, KLR, Kandasamy, R, Egorova, E, IP, M, Breiman, RF, Klugman, KP, McGee, L, Bentley, SD and von Gottberg, A (2022). A Streptococcus pneumoniae lineage usually associated with pneumococcal conjugate vaccine (PCV) serotypes is the most common cause of serotype 35B invasive disease in South Africa, following routine use of PCV. [Data Collection]. Microbiology Society. https://doi.org/10.6084/m9.figshare.16621984.v1
actions-user, Sherratt, K, Gruson, H, Funk, S, Bracher, J, BIOCOM-SC, Walraven, R, miraanto, h-veronika, Rodiah, I, gr3gr3, Kraus, D, hgurung-iem, epiforecasts-bot, Xu, FT, Heyder, S, aniruddhadiga, Abbott, S, Sun, T, Mingio, M, Deuschel, J, pmontman, janezz25, neele-itwm, Gibson, G, EpiGraph, Tarantino, B, Karlen, D, Bhatia, S and borjarv (2022). covid19-forecast-hub-europe/covid19-forecast-hub-europe. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6401421
Morhason-Bello, IO, Baisley, K, Pavon, MA, Adewole, IF, Bakare, RA, de Sanjosé, S, Francis, SC and Watson-jones, D (2022). Concordance of genotype specific HPV infections across the four anatomic sites. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0265269.s004
Barreaux, P, Koella, JC, N'guessan, R and Thomas, MB (2022). Use of novel lab assays to examine the effect of pyrethroid-treated bed nets on blood-feeding success and longevity of highly insecticide-resistant Anopheles gambiae s.l. mosquitoes. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.5919335.v1
Dyson, ZA, Malau, E, Horwood, PF, Ford, R, Siba, V, Yoannes, M, Pomat, W, Passey, M, Judd, LM, Ingle, DJ, Williamson, DA, Dougan, G, Greenhill, AR and Holt, KE (2022). Excluded repeat and phage regions in PNG MDUST348 2.1.7.2 completed reference sequence. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s006
Dyson, ZA, Malau, E, Horwood, PF, Ford, R, Siba, V, Yoannes, M, Pomat, W, Passey, M, Judd, LM, Ingle, DJ, Williamson, DA, Dougan, G, Greenhill, AR and Holt, KE (2022). Outgroups used for phylogenetic tree rooting. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s007
Funk, S (2022). epiforecasts/ons_severity_estimates. [Data Collection]. Github. https://github.com/epiforecasts/ons_severity_estimates
Alcayna, T, Fletcher, I, Gibb, R, Tremblay, L, Funk, S, Rao, B and Lowe, R (2022). Supplementary Material: Climate-sensitive disease outbreaks in the aftermath of extreme climatic events: a scoping review. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6376135
Green, N, Agossa, F, Yovogan, B, Oxborough, R, Kitau, J, Müller, P, Constant, E, Rowland, M, Tchacaya, EFS, Benjamin, KG, Churcher, TS, Betancourt, M and Sherrard-Smith, E (2022). An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying. Datasets for analyses. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263446.s001
Beiras, CG, Marks, M, Quintó, L, Gavilán, S, Kolmau, R, Ubals, M, Vall-Mayans, M and Mitjà, O (2022). Dataset of active ulcer cases included in the analysis. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010197.s001
Martin, JL, Messenger, LA, Mosha, FW, Lukole, E, Mosha, JF, Kulkarni, M, Churcher, TS, Sherrard-Smith, E, Manjurano, A, Protopopoff, N and Rowland, M (2022). Supporting files for: "Durability of three types of dual active ingredient long-lasting insecticidal net compared to a pyrethroid-only LLIN in Tanzania: methodology for a prospective cohort study nested in a cluster randomized controlled trial". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002833.
Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 2 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380993.v1
Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 3 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380996.v1
Ruiz Cuenca, P, Key, S, Lindblade, KA, Vythilingam, I, Drakeley, C and Fornace, K (2022). Additional file 4 of Is there evidence of sustained human-mosquito-human transmission of the zoonotic malaria Plasmodium knowlesi? A systematic literature review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19380999.v1
Smith, A, Wall, RJ, Patterson, S, Rowan, T, Rico Vidal, E, Stojanovski, L, Huggett, M, Hampton, SE, Thomas, MG, Corpas Lopez, V, Gillingwater, K, Duke, J, Napier, G, Peter, R, Vitouley, HS, Harrison, JR, Milne, R, Jeacock, L, Baker, N, Davis, SH, Simeons, F, Riley, J, Horn, D, Brun, R, Zuccotto, F, Witty, MJ, Wyllie, S, Read, KD and Gilbert, IH (2022). Repositioning of a Diaminothiazole Series Confirmed to Target the Cyclin-Dependent Kinase CRK12 for Use in the Treatment of African Animal Trypanosomiasis. [Data Collection]. ACS Publications. https://doi.org/10.1021/acs.jmedchem.1c02104.s003
Finch, E and Kucharski, AJ (2022). EmilieFinch/covid-reinfection. [Data Collection]. Github. https://github.com/EmilieFinch/covid-reinfection
Gimma, A, Munday, JD, Wong, KLM, Coletti, P, Van Zandvoort, K, Prem, K, Klepac, P, Rubin, GJ, Funk, S, Edmunds, WJ and Jarvis, CI (2022). Mean contacts by age and date. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003907.s015
Motuma, A, Regassa, LD, Gobena, T, Teji Roba, K, Berhane, Y and Worku, A (2022). Almost all working adults have at least one risk factor for non-communicable diseases: Survey of working adults in Eastern Ethiopia. S1 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264698.s001
Saeed, DK, Shakoor, S, Razzak, SA, Hasan, Z, Sabzwari, SF, Azizullah, Z, Kanji, A, Nasir, A, Shafiq, S, Ghanchi, NK and Hasan, R (2022). Variants associated with Bedaquiline (BDQ) resistance identified in Rv0678 and efflux pump genes in Mycobacterium tuberculosis isolates from BDQ naïve TB patients in Pakistan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.5861725.v1
Wamae, K, Ndwiga, L, Kharabora, O, Kimenyi, KM, Osoti, V, de Laurent, ZR, Wambua, J, Musyoki, J, Ngetsa, C, Kalume, P, Mwambingu, G, Hamaluba, M, van der Pluijm, RW, Dondorp, AM, Bailey, JA, Juliano, JJ, Bejon, P and Ochola-Oyier, LI (2022). Targeted Amplicon deep sequencing of ama1 and mdr1 to track within-host P. falciparum diversity in Kilifi, KENYA. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6243928
Stangl, AL, Pliakas, T, Izazola-Licea, JA, Ayala, G, Beattie, TS, Ferguson, L, Orza, L, Mathur, S, Pulerwitz, J, Iovita, A and Bendaud, V (2022). S1 Data - Removing the societal and legal impediments to the HIV response: An evidence-based framework for 2025 and beyond. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0264249.s008
Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N (2022). A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6122329
Govender, I (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care:a whole systems approach. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.UmoyaOmuhle.Datasets
Rojas de Arias, A, Messenger, LA, Rolon, M, Vega, MC, Acosta, N, Villalba, C and Marcet, PL (2022). Cytochrome B sequences used for phylogenetic network analysis. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0263465.s002
Williams, J (2022). jackrdwilliams/CRASH-Mild-Model. [Data Collection]. Github. https://github.com/jackrdwilliams/CRASH-Mild-Model
Gitonga, CW, Noor, AM, Brooker, SJ and Snow, RW (2022). Nationwide school health surveys 2009-2010 in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UQLTO5
Pung, R (2022). rachaelpung/cruise_networks. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6009026
Mulick, A (2022). amulick/MCEE-u5mort2019. [Data Collection]. Github. https://github.com/amulick/MCEE-u5mort2019
Baik, D, Reinsma, K, Young, MF, Chhea, C, Heang, H and Oy, S (2022). Positive Deviance Hearth mHealth Qualitative Research Tools. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13524170.v2
Dadari, I and Usuf, E (2022). Medicines wastage data. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0000181.s001
Ferguson-Gow, H, Nicholas, O, Outhwaitte, CL, Green, R, Scheelbeek, P, Eustacio Colombo, P, Wheeler, A, Taylor, A, Dangour, AD, Mace, G and Pearson, RG (2022). Potential for positive biodiversity outcomes under diet-driven land use change in Great Britain. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5939213
Malawi Epidemiology and Intervention research Unit and London School of Hygiene and Tropical Medicine (2022). ALPHA HIV Incidence and Mortality Data 2002-2017, Karonga, Malawi. [Data Collection]. DataFirst, Cape Town, South Africa. https://doi.org/10.25828/wcty-q497
Wick, RR and Holt, KE (2022). Assembly and polishing details for the real-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s020
Wick, RR and Holt, KE (2022). Confusion matrices for the simulated-read tests. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s017
Wick, RR and Holt, KE (2022). Predictors of assembly quality. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s018
Simões, ML, Dong, Y, Mlambo, G and Dimopoulos, G (2022). C-type lectin 4 regulates broad-spectrum melanization-based refractoriness to malaria parasites. The underlying data for all graphs. [Data Collection]. PLOS Biology. https://doi.org/10.1371/journal.pbio.3001515.s012
Pickering, H, Hart, JD, Burr, S, Stabler, R, Maleta, K, Kalua, K, Bailey, RL and Holland, MJ (2022). Additional file 1 of Impact of azithromycin mass drug administration on the antibiotic-resistant gut microbiome in children: a randomized, controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17982643.v1
Mndeme, F (2022). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Kilimanjaro (2022). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.7ba2a0bb-4d30-4672-9432-f100a910d6cb.
Gibson, AJ, Passmore, IJ, Faulkner, V, Xia, D, Nobeli, I, Stiens, J, Willcocks, S, Clark, TG, Sobkowiak, B, Werling, D, Villarreal-Ramos, B, Wren, BW and Kendall, SL (2021). Table_1_Probing Differences in Gene Essentiality Between the Human and Animal Adapted Lineages of the Mycobacterium tuberculosis Complex Using TnSeq.XLSX. [Data Collection]. Frontiers. https://doi.org/10.3389/fvets.2021.760717.s002
Abbott, S, Sherratt, K and Funk, S (2021). Real-time estimation of the time-varying transmission advantage of Omicron in England using S-Gene Target Status as a Proxy. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5799135
Rubio, FJ, Alvares, D, Redondo-Sanchez, D and Luque-fernandez, MA (2021). migariane/BayesVarImpComorbiCancer. [Data Collection]. Github. https://github.com/migariane/BayesVarImpComorbiCancer
Udosen, B, Soremekun, O, Ekenna, C, Idowu Omotuyi, O, Chikowore, T, Nashiru, O and Fatumo, S (2021). Additional file 1 of In-silico analysis reveals druggable single nucleotide polymorphisms in angiotensin 1 converting enzyme involved in the onset of blood pressure. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17305518.v1
Rasoanaivo, TF, Bourner, J, Randriamparany, RN, Gamana, TM, Andrianaivoarimanana, V, Raherivelo, MH, Randriamampionona, H, Rajerison, M, Raberahona, M, Salam, AP, Edwards, T, Olliaro, PL and Randremanana, RV (2021). Data for: "The impact of COVID-19 on clinical research for Neglected Tropical Diseases (NTDs): A case study of bubonic plague". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010064.s001
Harris, RC, Quaife, M, Weerasuriya, CK, Gomez, GB, Sumner, T, Bozzani, F and White, RG (2021). lshtm-tbmg/natcomms-m72sa: Nat Comms - code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5793302
Grant-McAuley, W, Klock, E, Laeyendecker, O, Piwowar-Manning, E, Wilson, E, Clarke, W, Breaud, A, Moore, A, Ayles, H, Kosloff, B, Shanaube, K, Bock, P, Mandla, N, van Deventer, A, Fidler, S, Donnell, D, Hayes, R and Eshleman, SH (2021). Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). Minimum dataset, seroconverters. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0258644.s004
Walls, H (2021). MalawiFoodSystems_Discrete_choice_experiment. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/YKVPR8
Walls, H (2021). MalawiFoodSystems_Food_market_survey. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NSAK0H
Chapman, LAC, Barnard, RC, Russell, TW, Abbott, S, Van Zandvoort, K, Davies, NG and Kucharski, AJ (2021). Unexposed populations and potential COVID-19 burden in European countries as of 21st November 2021. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5772162
Malla, L, Langat, R and Akech, S (2021). CIN paediatric admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/C0CDP9
Lindsey, BB, Villabona-Arenas, CJ, Atkins, KE and Campbell, F (2021). Chjulian/sheffield_HT: Characterising within-hospital SARS-CoV-2 transmission events. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5769865
Holt, KE, Gorrie, C and Wyres, K (2021). Genome assemblies and pan-genome data for 328 clinical isolates of Klebsiella pneumoniae species complex, representing one year of infections diagnosed in a hospital diagnostic lab. [Data Collection]. Monash University. https://doi.org/10.26180/16811344
Nyaguthii, DM, Otieno, GP, Kombe, IK, Koech, D, Mutunga, M, Medley, GF, Nokes, DJ and Munywoki, PK (2021). Replication Data for: Infection patterns of endemic human coronaviruses in rural households in coastal Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CPJ9B4
Quinn, AK, Williams, KN, Thompson, LM, Harvey, SA, Piedrahita, R, Wang, J, Quinn, C, Pillarisetti, A, McCracken, JP, Rosenthal, JP, Kirby, MA, Diaz Artiga, A, Thangavel, G, Rosa, G, Miranda, JJ, Checkley, W, Peel, JL and Clasen, TF (2021). Replication Data for: Fidelity and Adherence to a Liquefied Petroleum Gas Stove and Fuel Intervention during Gestation: The Multi-Country Household Air Pollution Intervention Network (HAPIN) Randomized Controlled Trial. [Data Collection]. UNC Dataverse. https://doi.org/10.15139/S3/9DDEAW
Soremekun, O, Soremekun, C, Machipisa, T, Soliman, M, Nashiru, O, Chikowore, T and Fatumo, S (2021). Genome-Wide Association and Mendelian Randomization Analysis Reveal the Causal Relationship Between White Blood Cell Subtypes and Asthma in Africans. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.3389/fgene.2021.749415.s001
Smith, KG, Scheelbeek, P, Balmford, A and Garnett, EE (2021). Research data supporting "Discrepancies between two long-term dietary datasets in the United Kingdom (UK)". [Data Collection]. University of Cambridge, Cambridge, United Kingdom. https://doi.org/10.17863/CAM.78207
Evans, B and Jombart, T (2021). Analysis of changes in worldwide routine immunisation coverage in 2020. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5746754
Springmann, M and Freund, F (2021). Supplementary data to "Options for reforming agricultural subsidies from health, climate, and economic perspectives". [Data Collection]. Oxford University Research Archive, Oxford, United Kingdom. https://doi.org/10.5287/bodleian:QmzkJxaYZ
Abotsi, RE, Nicol, MP, McHugh, G, Simms, V, Rehman, AM, Barthus, C, Ngwira, LG, Kwambana-Adams, B, Heyderman, RS, Odland, JØ, Ferrand, RA and Dube, FS (2021). Data from: The impact of long-term azithromycin on antibiotic resistance in HIV-associated chronic lung disease. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5dv41ns71
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for South Africa Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/17XS9I
Zhu, J, Zhao, H, Chen, D, Tse, LA, Kinra, S and Li, Y (2021). DataSheet_1_Genetic Correlation and Bidirectional Causal Association Between Type 2 Diabetes and Pulmonary Function.xlsx. [Data Collection]. Frontiers. https://doi.org/10.3389/fendo.2021.777487.s001
Fischer, N, Darmstadt, GL, Shahunja, K, Crowther, JM, Kendall, L, Gibson, RA, Ahmed, T and Relman, DA (2021). Dataset and R code for article "Topical emollient therapy with sunflower seed oil alters the skin microbiota of young children with severe acute malnutrition in Bangladesh: a randomised, controlled study". [Data Collection]. Stanford Digital Repository. https://purl.stanford.edu/dk954yp6586
Gibb, R and Mollentze, N (2021). rorygibb/pathogen_discovery: Viral discovery Biology Letters code. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5714490
Cunha, MG, Silva, ES, Sepúlveda, N, Costa, SPT, Saboia, TC, Guerreiro, JF, Póvoa, MM, Corran, PH, Riley, E and Drakeley, CJ (2021). Serologically Defined Variations in Malaria Endemicity in Pará State, Brazil. Supplementary dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0260513.s001
Lee, SA, Economou, T, de Castro Catão, R, Barcellos, C and Lowe, R (2021). Data and R code to accompany 'The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil' (version 1.0.0). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5710715
Rosello, A, Abbott, S and Barnard, RC (2021). rmjlros/COVID19_care_home_NPIs. [Data Collection]. Github. https://github.com/rmjlros/COVID19_care_home_NPIs
Shulman, CE, Dorman, EK, Cutts, F, Kawuondo, K, Bulmer, JN, Peshu, N and Marsh, K (2021). Replication Data for: Malaria in pregnancy: adverse effects on haemoglobin levels and birthweight in primigravidae and multigravidae. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/HP1JYJ
Caruso, B, Sclar, GD, Routray, P, Nagel, CL, Majorin, F, Sola, S, Koehne, W and Clasen, TF (2021). Low-Cost Behaviour Change Interventions to Improve Latrine Use and Safe Child Faeces Disposal in Rural Odisha, India. [Data Collection]. OSF. https://osf.io/bewpz/
Amoah, J, Said, S, Rampal, L, Manaf, R, Ibrahim, N, Owusu-Agyei, S and Poku Asante, K (2021). Effects of a school-based intervention to reduce cardiovascular disease risk factors among secondary school students: A cluster-randomized, controlled trial. Working dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0259581.s003
Damilola R. Oresegun, Peter Thorpe, Benavente, E, Campino, S, Fauzi Muh, Moon, RW, Clark, T and Cox-Singh, J (2021). Getting close to nature – Plasmodium knowlesi reference genome sequences from contemporary clinical isolates. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5598263
Stubbs, T, Kentikelenis, A, Stuckler, D, Mckee, M and King, L (2021). Replication Data for: "The impact of IMF conditionality on government health expenditure: A cross-national analysis of 16 West African nations". [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BCMAV5
Barasa, E, Musiega, A, Hanson, K, Nyawira, L, Mulwa, A, Molyneux, S, Maina, I, Tsofa, B, Normand, C and Jemutai, J (2021). Additional file 1 of Level and determinants of county health system technical efficiency in Kenya: two stage data envelopment analysis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17132986.v1
Borghi, J, Binyaruka, P, Mayumana, I, Lange, S, Somville, V and Maestad, O (2021). Long term effects of payment for performance on maternal and child health outcomes– evidence from Tanzania. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5636645
Mowbray, CE, Braillard, S, Glossop, PA, Whitlock, GA, Jacobs, RT, Speake, J, Pandi, B, Nare, B, Maes, L, Yardley, V, Freund, Y, Wall, RJ, Carvalho, S, Bello, D, Van den Kerkhof, M, Caljon, G, Gilbert, IH, Corpas-Lopez, V, Lukac, I, Patterson, S, Zuccotto, F and Wyllie, S (2021). DNDI-6148: A Novel Benzoxaborole Preclinical Candidate for the Treatment of Visceral Leishmaniasis. [Data Collection]. ACS Publications, Washington, DC, USA. https://doi.org/10.1021/acs.jmedchem.1c01437.s004
Pray, IW, Pizzitutti, F, Bonnet, G, Gonzales-Gustavson, E, Wakeland, W, Pan, WK, Lambert, WE, Gonzalez, AE, Garcia, HH and O’Neal, SE (2021). Data file including CystiAgent simulation results, observed results from the Ring Strategy Trial, and all intervention settings for each village evaluated (n = 21 villages). [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009885.s002
Endo, A, Uchida, M, Hayashi, N, Liu, Y, Atkins, KE, Kucharski, AJ and Funk, S (2021). akira-endo/schooldynamics_FluMatsumoto14-15: Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5604502
Isac, S, Javalkar, P, Platt, L, Watts, C and Heise, L (2021). Samvedana Plus: Reducing Violence and Increasing Condom Use in the Intimate Partnerships of female Sex Workers in Bagalkote District, North Karnataka, South India. [Data Collection]. MEDAT Data Repository. https://medat.samrc.ac.za/index.php/catalog/37/
Wu, JT, Mei, S, Luo, S, Leung, K, Liu, D, Lv, Q, Liu, J, Li, Y, Prem, K, Jit, M, Weng, J, Feng, T, Zheng, X and Leung, GM (2021). Table S4 from A global assessment of the impact of school closure in reducing COVID-19 spread. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16851696.v1
Murphy, N, Cardinal, MV, Bhattacharyya, T, Enriquez, GF, Macchiaverna, NP, Alvedro, A, Freilij, H, Martinez de Salazar, P, Molina, I, Mertens, P, Gilleman, Q, Gürtler, RE and Miles, MA (2021). Additional file 5 of Assessing antibody decline after chemotherapy of early chronic Chagas disease patients. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16841066.v1
Mee, P, Alexander, N and Colón-González, FJ (2021). Paul-Mee/clic_brazil. [Data Collection]. Github. https://github.com/Paul-Mee/clic_brazil
Galofré-Vilà, G, Meissner, CM, Mckee, M and Stuckler, D (2021). Austerity and the rise of the nazi party. [Data Collection]. Inter-university Consortium for Political and Social Research. https://doi.org/10.3886/E125101V1
Witkowska McConnell, W, Davis, C, Sabir, SR, Garrett, A, Bradley-Stewart, A, Jajesniak, P, Reboud, J, Xu, G, Yang, Z, Gunson, R, Thomson, EC and Cooper, J (2021). Loop mediated isothermal amplification as a powerful tool for early diagnosis of hepatitis C virus. [Data Collection]. University of Glasgow. https://doi.org/10.5525/gla.researchdata.1127
Bauduin, S, Chubaty, A, McIntire, E, Kohli, M and Gruson, H (2021). PredictiveEcology/NetLogoR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3695051
Orindi, BO, Ziraba, A, Bruyneel, L, Floyd, S and Lesaffre, E (2021). Invariance of the WHO violence against women instrument among Kenyan adolescent girls and young women: Bayesian psychometric modeling. S1 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0258651.s007
Yasuda, I, Saito, N, Suzuki, M, Umipig, DV, Solante, RM, Guzman, FD, Sayo, AR, Yasunami, M, Koizumi, N, Kitashoji, E, Sakashita, K, Ng, CFS, Smith, C and Ariyoshi, K (2021). Unique characteristics of new complete blood count parameters, the Immature Platelet Fraction and the Immature Platelet Fraction Count, in dengue patients. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16810771.v1
Chen-hussey, V (2021). Response of Hyalomma marginatum to 20% DEET. [Data Collection]. Mendeley Data. https://doi.org/10.17632/gg5f674w7m.1
Clements, AJ and Fadai, NT (2021). nfadai/Clements2021. [Data Collection]. GitHub. https://github.com/nfadai/Clements2021
Springmann, M (2021). Supplementary data to "The global and regional costs of healthy and sustainable dietary patterns: a modelling study". [Data Collection]. University of Oxford, Oxford, United Kingdom. https://doi.org/10.5287/bodleian:bpPJMRzJo
Phillips, D, Gemechu, T, Parry, E, Yacoub, M and Kotit, S (2021). Community-based prevalence of Rheumatic Heart Disease in rural Ethiopia: five-year follow-up. [Data Collection]. University of Southampton, Southampton, United Kingdom. https://doi.org/10.5258/SOTON/D1987
Fu, H and Abbas, KM (2021). lshtm-vimc/dynamice. [Data Collection]. Github. https://github.com/lshtm-vimc/dynamice
Weckman, AM, Conroy, AL, Madanitsa, M, Gnaneswaran, B, McDonald, CR, Kalilani-Phiri, L, Chandna, J, Ali, D, Mwapasa, V, Khairallah, C, Thwai, KL, Meshnick, SR, Taylor, SM, ter Kuile, FO, Kain, KC and Gladstone, M (2021). Neurocognitive outcomes in Malawian children exposed to malaria during pregnancy: An observational birth cohort study. Anonymized dataset, wide format. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003701.s001
Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T (2021). Replication Data for: LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial. [Data Collection]. Harvard Dataverse. https://doi.org/10.15139/S3/XSGXUM
Koltai, M (2021). Source data for "Date of introduction and epidemiologic patterns of SARS-CoV-2 in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534768
Parker, E (2021). eparker12/RoVI: Analysis code and data for RoVI study primary outcomes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5528336
Diamond, C, Gong, H, Sun, FY, Liu, Y, Quilty, B, Jit, M, Yang, J, Yu, H, Edmunds, WJ and Baguelin, M (2021). EIDECDIA/China_influenza_seasonality. [Data Collection]. Github. https://github.com/EIDECDIA/China_influenza_seasonality
Checchi, F, Testa, A, Gimma, A, Koum-Besson, E and Warsame, A (2021). francescochecchi/mortality_small_area_estimation. [Data Collection]. Github. https://github.com/francescochecchi/mortality_small_area_estimation
Ku, C, MacPherson, P, Khundi, M, Nzawa Soko, RH, Feasey, HRA, Nliwasa, M, Horton, KC, Corbett, EL and Dodd, PJ (2021). Durations of asymptomatic, symptomatic, and care-seeking phases of tuberculosis disease with a Bayesian analysis of prevalence survey and notification data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002633.
Levecke, B, Coffeng, LE, Hanna, C, Pullan, RL and Gass, KM (2021). The data used to determine the required diagnostic performance, the sample size and the corresponding decision cut-offs. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009740.s004
Moodley, B, Chinorumba, A, Hamman, C, Matamba, A, Sikaala, CH, Kleinschmidt, I and Frean, J (2021). Additional file 5 of Improving the quality of malaria diagnosis in southern Africa through the development of a regional malaria slide bank. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16590714.v1
Beilinson, HA, Glynn, RA, Yadavalli, AD, Xiao, J, Corbett, EL, Saribasak, H, Arya, R, Miot, C, Bhattacharyya, A, Jones, JM, Pongubala, JM, Bassing, CH and Schatz, DG (2021). The RAG1 N-terminal region regulates the efficiency and pathways of synapsis for V(D)J recombination. [Data Collection]. immunoSEQ Analyze. https://doi.org/10.21417/HAB2021JEM
Wigley, S, Holmer, H and Allen, LN (2021). drlukeallen/NCD-Policy-Implementation. [Data Collection]. Github. https://github.com/drlukeallen/NCD-Policy-Implementation
Waterlow, NR, Van Leeuwen, E, Davies, N, Flasche, S and Eggo, RM (2021). cmmid/coronavirus_immunity. [Data Collection]. Github. https://github.com/cmmid/coronavirus_immunity
Chuengsatiansup, K, Chawraingern, S, Limsawart, W, Urapeepathanapong, T, Chanchamsang, U and Chandler, C (2021). Anti-microbials in Society - Thailand, Study 2, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855072
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). Local Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UIM3MB
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Canada Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/2CNKZJ
Oliveira, MD, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). Results of the Web-Delphi process to INAMI stakeholders (three rounds). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5257297
Sringernyuang, L, Whanpuch, P, Poompruek, P and Chandler, C (2021). Anti-microbials In Society - Thailand, Study 1, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855071
Blassel, L, Tostevin, A, Villabona-arenas, CJ, Peeters, M, Hue, S and Gascuel, O (2021). Archive of figure generating data. [Data Collection]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1008873.s007
Oliveira, MD, Vieira, AL, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1st Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5256671
Oliveira, MD, Dimitrovová, K, Vieira, AL, Angelis, A, Kanavos, P and Bana e Costa, C (2021). IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2nd Web-Delphi process to HTA stakeholders, organized in a single panel. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5256844
Oliveira, MD, Dimitrovová, K, Angelis, A, Kanavos, P and Bana e Costa, C (2021). Results of the Web-Delphi process to YLV stakeholders (three rounds). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5257424
Abbott, S and Funk, S (2021). epiforecasts/covid19.sgene.utla.rt. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5236661
Tennant, WSD, Cardinale, E, Cêtre-Sossah, C, Moutroifi, Y, Le Godais, G, Colombi, D, Spencer, SEF, Tildesley, MJ, Keeling, MJ, Charafouddine, O, Colizza, V, Edmunds, WJ and Métras, R (2021). wtennant/rvf_comoros: Supporting data and code for 'Modelling the persistence and control of Rift Valley fever virus in a spatially heterogeneous landscape'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5234876
Pung, R (2021). rachaelpung/serial_interval_covid_b.1.617.2. [Data Collection]. Github. https://github.com/rachaelpung/serial_interval_covid_b.1.617.2
Du, J, Page, AE and Mace, R (2021). Allocare project. [Data Collection]. OSF. https://osf.io/bh9ya/?view_only=6d201b5a998c4de4820db99e014b8967
Simons, D (2021). DidDrog11/smoking_covid_bayes. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4002046
Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Impact of the DREAMS interventions on educational attainment among adolescent girls and young women: Causal analysis of a prospective cohort in urban Kenya. Analytical datasets. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s012
Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Number and proportions of AGYW aged 15–22 years retained in the study vs those lost to follow up at endline (2019), by AGYW characteristics. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0255165.s008
Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Number of interventions accessed by age group, schooling status at baseline, and invitation to DREAMS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0255165.s009
Mulwa, S, Chimoyi, L, Agbla, S, Osindo, J, Wambiya, EO, Gourlay, A, Birdthistle, I, Ziraba, A and Floyd, S (2021). Results from sensitivity analysis for associations between DREAMS and educational attainment. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0255165.s011
De figueiredo, A (2021). Impact of vaccine passports on inclination to accept COVID-19 vaccinations in the UK. [Data Collection]. OSF. https://osf.io/xh9p7/
De Figueiredo, A (2021). Global intent to accept COVID-19 vaccines. [Data Collection]. OSF. https://osf.io/8vezs
Sumner, T (2021). tomsumner/CORTIS_HR_CE. [Data Collection]. Github. https://github.com/tomsumner/CORTIS_HR_CE
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Greece). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.5137218
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Slovenia). [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.5137239
Chowdhury, S, Pozzer, A, Haines, A, Klingmüller, K, Münzel, T, Paasonen, P, Sharma, A, Venkataraman, C and Lelieveld, J (2021). Global health burden of ambient PM2.5 and the role of anthropogenic black carbon and organic aerosols. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5131659
Yakob, L (2021). lwyakob/COVIDquarantine. [Data Collection]. Github. https://github.com/lwyakob/COVIDquarantine
Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 1 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984900.v1
Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 2 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984906.v1
Oxborough, RM, Seyoum, A, Yihdego, Y, Chabi, J, Wat’senga, F, Agossa, FR, Coleman, S, Musa, SL, Faye, O, Okia, M, Bayoh, M, Alyko, E, Rakotoson, J, Masendu, H, Sovi, A, Gadiaga, L, Abong’o, B, Opondo, K, Baber, I, Dabire, R, Gnanguenon, V, Yohannes, G, Varela, K, Fondjo, E, Carlson, J, Armistead, JS and Dengela, D (2021). Additional file 3 of Determination of the discriminating concentration of chlorfenapyr (pyrrole) and Anopheles gambiae sensu lato susceptibility testing in preparation for distribution of Interceptor® G2 insecticide-treated nets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14984909.v1
Niles, RA, Thickstun, CR, Cox, H, Dilliott, D, Burgert-Brucker, CR, Harding-Esch, EM, Clementson, N, Sampson, A, Alexandre, JS, Morice Trejos, AC, Scholte, RGC and Krentel, A (2021). Community Survey of Lymphatic Filariasis Mass Drug Administration Acceptability in Guyana, August 2019. [Data Collection]. UNC Dataverse. https://doi.org/10.15139/S3/VIOTDL
Wilkinson, KA, Maokola, WM, Ngowi, BJ, Mahande, MJ, Todd, J, Robert, M and Msuya, SE (2021). Impact of Isoniazid Preventive Therapy on Tuberculosis incidence among people living with HIV: A secondary data analysis using Inverse Probability Weighting of individuals attending HIV care and treatment clinics in Tanzania. S1 Dataset. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0254082.s001
Uyoga, S, Adetifa, IM, Otiende, M, Gitonga, JN, Mugo, D, Nyagwange, J, Karanja, HK, Tuju, J, Makale, J, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Chege, E, Yegon, C, Kithi, K, Odhiambo, E, Rotich, T, Orgut, I, Kihara, S, Bottomley, C, Kagucia, EW, Gallagher, KE, Etyang, A, Voller, S, Lambe, T, Wright, D, Barasa, E, Tsofa, B, Mwangangi, J, Bejon, P, Ochola-Oyier, LI, Warimwe, GM, Agweyu, A and Scott, JAG (2021). Replication Data for: Prevalence of SARS-CoV-2 Antibodies from a one-year National Serosurveillance of Kenyan Blood Transfusion Donors. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/3E1YSQ
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Denmark). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040530
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (France). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040870
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Italy). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041112
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Poland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041128
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Portugal). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5041140
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Spain). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5040839
Abbott, S, Hickson, J, Badr, HS, Funk, S, Monticone, P, Ellis, P, Munday, JD, Allen, J, Pearson, CAB, DeWitt, M, Bosse, N and Meakin, S (2021). epiforecasts/EpiNow2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957489
Spadar, A, Phelan, J, Diez-Benavente, E, Campos, M, Gomez, LF, Mohareb, F, Clark, TG and Campino, S (2021). Data for: "Flavivirus integrations in Aedes aegypti are limited and highly conserved across samples from different geographic regions unlike integrations in Aedes albopictus". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002482.
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Colombia Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/GI8EVP
Lay, C, Chu, CW, Purbojati, RW, Acerbi, E, Drautz-Moses, DI, de Sessions, PF, Jie, S, Ho, E, Kok, YJ, Bi, X, Chen, S, Mak, SY, Chua, MC, Goh, AEN, Chiang, WC, Rao, R, Chaithongwongwatthana, S, Khemapech, N, Chongsrisawat, V, Martin, R, Koh, Y, Lohar, SR, Tan, ICH, Anng, WA, Jie, C, Bartke, N, Ben-Amor, K, Renes, IB, Wong, F, Roeselers, G, Ho, YS, Hibberd, ML, Schuster, SC and Knol, J (2021). Data for: "A synbiotic intervention modulates meta-omics signatures of gut redox potential and acidity in elective caesarean born infants". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.
Pavanello, F, De Cian, E, Davide, M, Mistry, M, Cruz, TB, Bezerra, PdS, Jagu, D, Renner, S, Schaffer, R and Lucena, AFP (2021). Data for: Air-Conditioning and the Adaptation Cooling Deficit in Emerging Economies, Pavanello et al 2021. [Data Collection]. Mendeley Data. https://doi.org/10.17632/ws7cmwbnfg.1
Fujisawa, K, Silcott-Niles, C, Simonson, P, Lamattina, D, Humeres, CA, Bhattacharyya, T, Mertens, P, Thunissen, C, O’Rourke, V, Pańczuk, M, Whitworth, JA, Salomón, OD and Miles, MA (2021). Consolidated results of dogs in the 2018 and 2019 studies. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009552.s001
Mutua, MK, Wado, YD, Malata, M, Kabiru, CW, Akwara, E, Melesse, DY, Fall, NA, Coll, CVN, Faye, C and Barros, AJD (2021). Additional file 1 of Wealth-related inequalities in demand for family planning satisfied among married and unmarried adolescent girls and young women in sub-Saharan Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14795557.v1
Davidson, JA (2021). jenAdavidson/cvrisk_mace_ari. [Data Collection]. Github. https://github.com/jenAdavidson/cvrisk_mace_ari
Dorman, M, Thomson, NR and Campos, J (2021). Genomic contextualisation of ancient DNA molecular data from an Argentinian fifth pandemic Vibrio cholerae infection. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14384225.v1
Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Sy, Z, Manda, S, Jackson, D and Doherty, T (2021). Supplementary Appendix 1c of "Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger". [Data Collection]. Zenodo.
Burke, R (2021). rachaelmburke/hivhospital. [Data Collection]. Github. https://github.com/rachaelmburke/hivhospital
Pollington, TM, Tildesley, MJ, Hollingsworth, TD and Chapman, LAC (2021). t-pollington/developments_tau_statistic. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4906403
Prem, K (2021). kieshaprem/synthetic-contact-matrices. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889499
Randera-Rees, S, Safari, WC, Gareta, D, Herbst, K, Baisley, K and Grant, AD (2021). Clinic attendance by sex and HIV status in rural South Africa. [Data Collection]. Africa Health Research Institute (AHRI). https://doi.org/10.23664/AHRI.CLINIC.VISITS.CODE.2021
Shaver, J, Shenk, MK, Sear, R, Sosis, R, Spake, L, Schaffnit, S, Lynch, R and Hassan, A (2021). The Evolutionary Dynamics of Religion, Family Size, and Child Success. [Data Collection]. OSF. https://osf.io/b865v
Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2021). CoMix social contact data (Austria). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4775972
Auzenbergs, M, Fountain, H, Macklin, G, Lyons, H and O'reilly, KM (2021). mauzenbergs/polio_vdpv. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4769689
Paton, RS, Kamau, A, Akech, S, Agweyu, A, Ogero, M, Mwandawiro, C, Mturi, N, Mohammed, S, Mpimbaza, A, Kariuki, S, Otieno, NA, Nyawanda, BO, Mohamed, AF, Mtove, G, Reyburn, H and Gupta, S (2021). Replication Data for: Malaria infection and severe disease risks in Africa. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/XGDB3K
Spake, L, Schaffnit, S, Sear, R, Shenk, MK, Sosis, R and Shaver, J (2021). Mother's partnership status and allomothering networks in the United Kingdom and United States. [Data Collection]. Open Science Framework. https://osf.io/zpu5f/
McCarthy, M, O'Keeffe, L, Williamson, P, Sydes, M, Farrin, A, Lugg-Widger, F, Davies, G, Avery, K, Chan, A, Kwakkenbos, L, Thombs, B, Watkins, A, Hemkens, LG, Gale, C, Zwarenstein, M, Langan, S, Thabane, L, Juszczak, E, Moher, D and Kearney, P (2021). The development of a SPIRIT extension for trials conducted using cohorts and routinely collected data (SPIRIT-ROUTINE). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/VQRUW
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). Continent Summary Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/F9HVNL
Fuehrer, H, Dombrowski, JG, Barateiro, A, Peixoto, EPM, Barros, André Boler Cláudio da Silva, Souza, RMd, Clark, TG, Campino, S, Wrenger, C, Wunderlich, G, Palmisano, G, Epiphanio, S, Gonçalves, LA and Marinho, CRF (2021). Study database for: "Adverse pregnancy outcomes are associated with Plasmodium vivax malaria in a prospective cohort of women from the Brazilian Amazon". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009390.s009
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2021). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Belgium Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NALGQJ
Lovell-Read, FA, Funk, S, Obolski, U, Donnelly, CA and Thompson, RN (2021). Supplementary material from "Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study". [Data Collection]. The Royal Society. https://doi.org/10.6084/m9.figshare.c.5416023.v1
Mbaruku, G (2021). Testing the recording of priority facility-based, maternal and newborn coverage indicators for use in health management information systems. [Data Collection]. Ifakara Health Institute data repository. https://doi.org/10.17890/ihi.2017.09.99
Dorman, M, Thomson, NR and Campos, J (2021). Supporting data for "Genomic contextualisation of ancient DNA molecular data from an Argentinian fifth pandemic Vibrio cholerae infection". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13636577.v1
Brand, S and Ojal, J (2021). ojal/KenyaSerology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4705243
Mitchell, K, Purcell, C, Forsyth, R, Barry, S, Hunter, R, Simpson, SA, McDaid, L, Elliot, L, McCann, M, Wetherall, K, Broccatelli, C, Bailey, JV and Moore, L (2021). A peer-led intervention to promote sexual health in secondary schools: the STASH feasibility study. [Data Collection]. University of Glasgow, Glasgow, Scotland. https://doi.org/10.5525/gla.researchdata.1110
Burke, R (2021). rachaelmburke/tbcovidblantyre. [Data Collection]. Github. https://github.com/rachaelmburke/tbcovidblantyre
Wright, K, de Silva, K, Plain, KM, Purdie, AC, Blair, TA, Duggin, IG, Britton, WJ and Oehlers, SH (2021). Source data for graphs. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1009186.s008
Wright, K, de Silva, K, Plain, KM, Purdie, AC, Blair, TA, Duggin, IG, Britton, WJ and Oehlers, SH (2021). miR-206 target prediction results from TargetScan analysis. [Data Collection]. PLOS Pathogens. https://doi.org/10.1371/journal.ppat.1009186.s007
Kelly-Hope, LA, Sanders, AM, Harding-Esch, E, Willems, J, Ahmed, F, Vincer, F and Hill, R (2021). Additional file 3 of Complex emergencies and the control and elimination of neglected tropical diseases in Africa: developing a practical approach for implementing safe and effective mapping and intervention strategies. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14355439.v1
Masselot, P (2021). PierreMasselot/Frontier-FrenchScientificYoutube. [Data Collection]. Github. https://github.com/PierreMasselot/Frontier-FrenchScientificYoutube
Pisani, E, Hasnida, A, Rahmi, M, Harsono, S, Kok, M and Anggriani, Y (2021). Supplementary material for Pisani et al: Substandard and falsified medicines: proposed methods for case finding and sentinel surveillance. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/SELJ0Z
Kessler, NJ (2021). knowah/bssnper2. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4647012
Lowe, R (2021). Data and R code to accompany 'Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4632204
Wang, SV, Sreedhara, SK, Schneeweiss, S and REPEAT Initiative (2021). Reproducible Evidence: Practices to Enhance and Achieve Transparency (REPEAT). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/MY5GN
Laban, N (2021). Comparable exposure to SARS-CoV-2 in young children and healthcare workers in Zambia. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14237285.v2
Rees, E (2021). erees/seasonalHCoV. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4618261
Quilty, BJ, Hellewell, J, Clifford, S and CMMID COVID-19 working group (2021). R code for: "Confirmatory testing with a second lateral flow test may mitigate false positives at low levels of SARS-CoV-2 prevalence in English schools". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002074.
Davies, NG, Jarvis, CI, CMMID COVID-19 Working Group, Edmunds, WJ, Jewell, NP, Diaz-Ordaz, K and Keogh, RH (2021). Increased mortality in community-tested cases of SARS-CoV-2 lineage B.1.1.7. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4579856
Jung, S, Endo, A, Kinoshita, R and Nishiura, H (2021). SungmokJung/Projection_Japan_COVID19 v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4576936
Pavelka, M, van Zandvoort, K, Abbott, S, Sherratt, K, Majdan, M, Jarcuska, P, Krajci, M, Flasche, S and Funk, S (2021). Data and R code accompanying the manuscript "The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4570938
Davies, NG, Abbott, S, Barnard, RC, Jarvis, CI, Kucharski, AJ, Munday, J, Pearson, CAB, Russell, TW, Tully, DC, Washburne, AD, Wenseleers, T, Gimma, A, Waites, W, Wong, KL, van Zandvoort, K, Silverman, JD, Diaz-Ordaz, K, Keogh, R, Eggo, RM, Funk, S, Jit, M, Atkins, KE and Edmunds, WJ (2021). Analysis data and code for "Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England". [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4562961
Davies, NG, Abbott, S, Barnard, RC, Jarvis, CI, Kucharski, AJ, Munday, J, Pearson, CAB, Russell, TW, Tully, DC, Washburne, AD, Wenseleers, T, Gimma, A, Waites, W, Wong, KL, van Zandvoort, K, Silverman, JD, Diaz-Ordaz, K, Keogh, R, Eggo, RM, Funk, S, Jit, M, Atkins, KE and Edmunds, WJ (2021). Analysis data and code for "Estimated transmissibility and impact of SARS-CoV-2 Variant of Concern 202012/01 in England". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4549674
Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding,, TJ and Vassall, A (2021). Value TB Dataset: costs per intervention. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/QOI6IR
Bousema, T (2021). Data from: Higher gametocyte production and mosquito infectivity in chronic compared to incident Plasmodium falciparum infections. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.pc866t1n3
Chapman, LAC, Shukla, P and Lo, NC (2021). Comparison of COVID-19 vaccine prioritization strategies in the United States. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4516525
Jarvis, C (2021). jarvisc1/comix_uk_covid_restrictions. [Data Collection]. Github. https://github.com/jarvisc1/comix_uk_covid_restrictions
Dahiru Balami, A, Said, SM, Zulkefli, NAM, Norsa’adah, B and Audu, B (2021). Additional file 1 of Improving malaria preventive practices and pregnancy outcomes through a health education intervention: A randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13627127.v1
Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Manda, SO, Sy, Z, Jackson, D and Doherty, T (2021). Supplementary Appendix 1c of "Toward a geography of community health workers in Niger: a geospatial analysis". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13536779.v5
Eyre, MT, Burns, R, Kirkby, V, Smith, C, Denaxas, S, Nguyen, V, Hayward, A, Shallcross, L, Fragaszy, E and Aldridge, RW (2021). Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study - Supplementary material, code and data. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/5J6DY
Mugiyo, H, Chimonyo, VGP, Sibanda, M, Kunz, R, Nhamo, L, Masemola, CR, Dalin, C, Modi, AT and Mabhaudhi, T (2021). S1 File for "Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa". [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0244734.s012
Abbott, S and Meakin, S (2021). epiforecasts/covid19.nhs.data: Initial release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4447465
Scriba, TJ, Fiore-Gartland, A, Penn-Nicholson, A, Mulenga, H, Kimbung Mbandi, S, Borate, B, Mendelsohn, SC, Hadley, K, Hikuam, C, Kaskar, M, Musvosvi, M, Bilek, N, Self, S, Sumner, T, White, RG, Erasmus, M, Jaxa, L, Raphela, R, Innes, C, Brumskine, W, Hiemstra, A, Malherbe, ST, Hassan-Moosa, R, Tameris, M, Walzl, G, Naidoo, K, Churchyard, G and Hatherill, M (2021). RISK11 signature scores for the biomarker-guided tuberculosis preventive therapy (CORTIS) randomised controlled trial. [Data Collection]. University of Cape Town. https://doi.org/10.25375/uct.13573337.v1
Bhaskaran, K and Inglesby, P (2021). opensafely/covid-vs-noncovid-deaths-research. [Data Collection]. Github. https://github.com/opensafely/covid-vs-noncovid-deaths-research
Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A (2021). Value TB Dataset: costs per direct & ancillary service. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UGYNGT
Oliphant, NP, Ray, N, Bensaid, K, Ouedraogo, A, Gali, AY, Habi, O, Maazou, I, Panciera, R, Muñiz, M, Sy, Z, Manda, S, Jackson, D and Doherty, T (2021). Supplementary Appendix 1b of "Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4428176
Muchene, L and Safari, W (2021). Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0243208.s006
Ababora, JK (2021). Rapid Assessment of Avoidable Blindness Dataset: Ethiopia, Oromia, Jimma (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000382.
Mishra, S (2021). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Sudurpashchim Province (2021). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000385.
Sun, H, Dickens, BL, Jit, M, Cook, AR and Carrasco, LR (2020). Mapping the cryptic spread of the 2015–2016 global Zika virus epidemic. [Data Collection]. BMC Medicine. https://doi.org/10.1186/s12916-020-01845-x
Davies, NG (2020). nicholasdavies/covidm-alpha. [Data Collection]. Github. https://github.com/nicholasdavies/covidm-alpha
DeLacey, E (2020). Data for: "The nutritional status of children living within institutionalized care: a retrospective analysis with control charts for program monitoring". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001994.
Srilohasin, P, Prammananan, T, Faksri, K, Phelan, JE, Suriyaphol, P, Kamolwat, P, Smithtikarn, S, Disratthakit, A, Regmi, SM, Leechawengwongs, M, Twee-Hee Ong, R, Teo, YY, Tongsima, S, Clark, TG and Chaiprasert, A (2020). Genomic evidence supporting the clonal expansion of extensively drug-resistant tuberculosis bacteria belonging to a rare proto-Beijing genotype. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13378598.v1
Ellis, J (2020). WOR CM co-infections data file.xlsx. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13295858.v1
Ndwiga, L, Muteru, K, Wamae, K, Osoti, V, Akinyi, M, Omedo, I, Andagalu, B, Ghansah, A, Ishengoma, D, Amambua-Ngwa, A, Raman, J, Duah-Quashie, N, Tessema, S, Karema, C, Tukwasibwe, S, Djimde, A, Dondorp, A, Snow, R, Bejon, P and Ochola-Oyier, L (2020). Replication Data for: The emergence of an indigenous artemisinin-resistant Plasmodium falciparum in Africa. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/EUPXCF
Ssemata, AS, Opoka, RO, Ssenkusu, JM, Nakasujja, N, John, CC and Bangirana, P (2020). Final Z scores by regression for neurodevelopmental outcomes data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0240694.s001
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Collated Results of the National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Tests, Hospital Admissions and Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/4L3OKY
Hellewell, J, Lucas, T, Davis, E, Abbott, S, Gimma, A and Thompson, R (2020). timcdlucas/ringbp: Code as used in the paper "Engagement and adherence trade-offs for SARS-CoV-2 contact tracing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4221774
Mugiyo, H, Mabhaudhi, T, Chimonyo, VGP, Dalin, C, Sibanda, M, Kunz, R, Modi, AT and Nhamo, L (2020). Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13179881.v1
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Continent Summary Reproduction Number (R) Based on Reported Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/A12ADQ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Brazil Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/METDW2
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Germany Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/LNMJYJ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for India Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PRP6CY
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for Italy Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/8DUSHZ
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/QVWUJ5
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Hospital Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CCE4XT
Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National and Subnational Estimates of the Covid 19 Reproduction Number (R) for the United States of America Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BZ7FPH
Hogset, H, Horgan, C, Armstrong, J, Bergholt, M, Torraca, V, Chen, Q, Keane, T, Burgeon, L, Dallman, M, Mostowy, S and Stevens, M (2020). Research data supporting "In Vivo Biomolecular Imaging of Zebrafish Embryos using Confocal Raman Spectroscopy". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4059923
Nkosi-Gondwe, T (2020). Moderate to severe malnutrition in severe anemia study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13061447.v1
Dorman, MJ, Domman, D, Poklepovich, T, Tolley, C, Zolezzi, G, Kane, L, Viñas, MR, Panagópulo, M, Moroni, M, Binsztein, N, Caffer, MI, Clare, S, Dougan, G, Salmond, GPC, Parkhill, J, Campos, J and Thomson, NR (2020). Supporting data for "Genomics of the Argentinian cholera epidemic elucidate the contrasting dynamics of epidemic and endemic Vibrio cholerae". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11310131.v1
Chapman, LAC (2020). LloydChapman/VLSpatiotemporalModelling. [Data Collection]. Github. https://github.com/LloydChapman/VLSpatiotemporalModelling
Omondi, BR, Muthui, MK, Muasya, WI, Orindi, B, Mwakubambanya, RS, Bousema, T, Drakeley, C, Marsh, K, Bejon, P and Kapulu, MC (2020). Replication Data for: Antibody responses to crude gametocyte extract predicts P. falciparum gametocyte carriage in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UZWG9J
Ojal, J, Brand, SPC, Were, V, Okiro, EA, Kombe, IK, Mburu, C, Aziza, R, Ogero, M, Agweyu, A, Warimwe, GM, Uyoga, S, Adetifa, IM, Scott, JAG, Otieno, E, Ochola-Oyier, LI, Agoti, CN, Kasera, K, Amoth, P, Mwangangi, M, Aman, R, Ng’ang’a, W, Tsofa, B, Bejon, P, Barasa, E, Keeling, MJ and Nokes, DJ (2020). Replication Data for: Revealing the extent of the COVID-19 pandemic in Kenya based on serological and PCR-test data. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/RXAIPS
Rees, EM, Nightingale, ES, Jafari, Y, Waterlow, NR, Clifford, S, B. Pearson, CA, CMMID Working Group, Jombart, T, Procter, SR and Knight, GM (2020). Additional file 2 of COVID-19 length of hospital stay: a systematic review and data synthesis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12910557.v1
Deenan, P, Koole, O and Wong, E (2020). Performance of computer-aided chest radiography for detection of TB in a community-based multimorbidity cohort in rural KwaZulu-Natal. [Data Collection]. AHRI Data Repository. https://doi.org/10.23664/AHRI.VUKUZAZI.CHESTXRAYPAPERDATA
Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 1 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831240.v1
Dawa, J, Emukule, GO, Barasa, E, Widdowson, MA, Anzala, O, Van Leeuwen, E, Baguelin, M, Chaves, SS and Eggo, RM (2020). Additional file 3 of Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12831246.v1
Tomkins, J, Hazel, W, Black, R, Smock, R and Sear, R (2020). An age-dependent ovulatory strategy explains the evolution of dizygotic twinning in humans. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.h70rxwdfw
Tsang, KK (2020). karatsang/rulesbased_logisticregression. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3988479
Herrett, E (2020). emilyherrett/qrisk_cprd_gold: QRISK bundle version 2.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3981237
Candido, DS, Claro, IM, de Jesus, JG, Souza, WM, Moreira, FRR, Dellicour, S, Mellan, TA, du Plessis, L, Pereira, RHM, Sales, FCS, Manuli, ER, Thézé, J, Almeida, L, Menezes, MT, Voloch, CM, Fumagalli, MJ, Coletti, TM, da Silva, CAM, Ramundo, MS, Amorim, MR, Hoeltgebaum, HH, Mishra, S, Gill, MS, Carvalho, LM, Buss, LF, Prete, CA, Ashworth, J, Nakaya, HI, Peixoto, PS, Brady, OJ, Nicholls, SM, Tanuri, A, Rossi, Átila D., Braga, CK, Gerber, AL, de C. Guimarães, AP, Gaburo, N, Alencar, CS, Ferreira, AC, Lima, CX, Levi, JE, Granato, C, Ferreira, GM, Francisco, RS, Granja, F, Garcia, MT, Moretti, ML, Perroud, MW, Castiñeiras, Terezinha M. P. P., Lazari, CS, Hill, SC, de Souza Santos, AA, Simeoni, CL, Forato, J, Sposito, AC, Schreiber, AZ, Santos, MNN, de Sá, CZ, Souza, RP, Resende-Moreira, LC, Teixeira, MM, Hubner, J, Leme, PAF, Moreira, RG, Nogueira, ML, Ferguson, NM, Costa, SF, Proenca-Modena, JL, Vasconcelos, ATR, Bhatt, S, Lemey, P, Wu, C, Rambaut, A, Loman, NJ, Aguiar, RS, Pybus, OG, Sabino, EC and Faria, NR (2020). Data from: Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Dryad. http://doi.org/10.5061/dryad.rxwdbrv5z
Liu, Y (2020). yangclaraliu/COVID19_NPIs_vs_Rt. [Data Collection]. Github. https://github.com/yangclaraliu/COVID19_NPIs_vs_Rt
Matowo, NS, Tanner, M, Munhenga, G, Mapua, SA, Finda, M, Utzinger, J, Ngowi, V and Okumu, FO (2020). Additional file 1 of Patterns of pesticide usage in agriculture in rural Tanzania call for integrating agricultural and public health practices in managing insecticide-resistance in malaria vectors. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12668036.v1
Otieno, GP, Murunga, N, Agoti, CN, Gallagher, KE, Awori, JO and Nokes, DJ (2020). Replication Data for: Surveillance of endemic human coronaviruses (HCoV-NL63, OC43 and 229E) associated with pneumonia in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/ZQ1DJY
Geer, A and Prowse, D (2020). PharmacoTXA Trial: Pharmacokinetics of Tranexamic Acid after oral, intramuscular or intravenous administration: a prospective, randomised, cross-over trial in healthy volunteers. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://freebird.lshtm.ac.uk/home/available-trials/
Leung, K, Jit, M, Lau, EHY and Wu, JT (2020). Social contact data for Hong Kong. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3874808
Nightingale, E, Waterlow, N, Clifford, S and Rees, E (2020). COVID-19 length of hospital stay. [Data Collection]. Github. https://github.com/esnightingale/los_review
Indriani, C, Tantowijoyo, W, Rancès, E, Andari, B, Prabowo, E, Yusdi, D, Ansari, MR, Wardana, DS, Supriyati, E, Nurhayati, I, Ernesia, I, Setyawan, S, Fitriana, I, Arguni, E, Amelia, Y, Ahmad, RA, Jewell, NP, Dufault, SM, Ryan, PA, Green, BR, McAdam, TF, O'Neill, SL, Tanamas, SK, Simmons, CP, Anders, KL and Utarini, A (2020). Reduced dengue incidence following deployments of Wolbachia-infected Aedes aegypti in Yogyakarta, Indonesia: a quasi-experimental trial using controlled interrupted time series analysis. [Data Collection]. Gates Open Research. https://doi.org/10.12688/gatesopenres.13122.1
Lenhart, A, Morrison, AC, Paz-Soldan, VA, Forshey, BM, Cordova-Lopez, JJ, Astete, H, Elder, JP, Sihuincha, M, Gotlieb, EE, Halsey, ES, Kochel, TJ, Scott, TW, Alexander, N and McCall, PJ (2020). The impact of insecticide treated curtains on dengue virus transmission: A cluster randomized trial in Iquitos, Peru. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0008097.s003
Tetteh, KKA (2020). Optimisation and standardisation of a multiplex immunoassay of diverse Plasmodium falciparum antigens to assess sero-epidemiological changes in malaria transmission. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/AUJ35
Jombart, T, Abbott, S, Gimma, A, Van zandvoort, K and Jarvis, C (2020). Inferring COVID-19 cases from recent death. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3733046
Zameer, M, Phillips-White, N, Folorunso, O, Belt, R, Setayesh, H, Asghar, N and Chandio, A (2020). Immunization supply chain equity metrics for Pakistan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12032106.v1
van der Laan, LC, Meeks, KAC, Chilunga, FP, Agyemang, C, Venema, A, Mannens, Marcel M. A. M., Zafarmand, MH, Klipstein-Grobusch, K, Smeeth, L, Adeyemo, A and Henneman, P (2020). Epigenome-wide association study for perceived discrimination among sub-Saharan African migrants in Europe - the RODAM study. [Data Collection]. Scientific Reports. h.
Rahman, SIA, Dyson, ZA, Klemm, EJ, Khanam, F, Holt, KE, Chowdhury, EK, Dougan, G and Qadri, F (2020). Population structure and antimicrobial resistance patterns of Salmonella Typhi isolates in urban Dhaka, Bangladesh from 2004 to 2016. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0008036
Li, E, Mawji, A, Akech, S, Chandna, A, Kissoon, N, Kortz, T, Lubell, Y, Turner, P, Wiens, M and Ansermino, M (2020). Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group. [Data Collection]. Scholars Portal Dataverse. https://doi.org/10.5683/SP2/02LVVT
Osborn, J, Roberts, T, Guillen, E, Bernal, O, Roddy, P, Ongarello, S, Sprecher, A, Page, A, Ribeiro, I, Piriou, E, Tamrat, A, de la Tour, R, Rao, VB, Flevaud, L, Jensen, T, McIver, L, Kelly, C and Dittrich, S (2020). Additional file 1 of Prioritising pathogens for the management of severe febrile patients to improve clinical care in low- and middle-income countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11835159.v1
Mooney, JP, Qendro, T, Keith, M, Philbey, AW, Groves, HT, Tregoning, JS, Goodier, MR and Riley, EM (2020). Data_Sheet_2_Natural Killer Cells Dampen the Pathogenic Features of Recall Responses to Influenza Infection. [Data Collection]. Frontiers. https://doi.org/10.3389/fimmu.2020.00135.s002
Vashist, P, Tandon, R, Murthy, G, Barua, C, Deka, D, Singh, S, Gupta, V, Gupta, N, Wadhwani, M, Singh, R and Vishwanath, K (2020). Association of cataract and sun exposure in geographically diverse populations of India: the case study. first report of the ICMR-EYE SEE study group. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5qfttdz19
Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Gandaki Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000377.
Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Koshi Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000378.
Mishra, S (2020). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Madhesh Province (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000379.
Owoeye, J (2020). Rapid Assessment of Avoidable Blindness Dataset: Nigeria, Kogi (2020). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000380.
Hollingworth, S, Ruiz, F, Gad, M and Chalkidou, K (2020). iDSI HTA survey SSA Data sharing. [Data Collection]. The University of Queensland, Brisbane, Australia. https://doi.org/10.14264/uql.2020.178
DeCelles, J, Kaufman, Z, Bhauti, K, Hershow, R, Weiss, H, Chaibva, C, Moyo, N, Braunschweig, E, Mantula, F, Hatzold, K and Ross, D (2019). Voluntary medical male circumcision uptake through soccer in Zimbabwe. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FI4R2V
Abbott, S (2019). seabbs/AssessBCGPolicyChange. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2635687
León-Gómez, BB, Gotsens, M, Marí-Dell’Olmo, M, Domínguez-Berjón, MF, Luque-Fernandez, MA, Martin, U, Rodríguez-Sanz, M and Pérez, G (2019). MOESM4 of Bayesian smoothed small-areas analysis of urban inequalities in fertility across 1999–2013. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.11430522.v1
Aburto, JM (2019). jmaburto/Dynamics_Code V1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3571095
Költringer, FA, Rudgard, WE, Annerstedt, KS, Boccia, D and Carter, D (2019). Supporting data for: "The social determinants of national tuberculosis incidence rates in 116 countries: a longitudinal ecological study between 2005– 2015". [Data Collection]. OSF. https://osf.io/x6uag/
Zhang, J, Klepac, P, Read, J, Rosello, A, Wang, X, Lai, S, Li, M, Song, Y, Wei, Q, Jiang, H, Yang, J, Lynn, H, Flasche, S, Jit, M and Yu, H (2019). Social contact data for China mainland. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.3516113
Mendes Jorge, M, Ouermi, L, Meissner, P, Compaoré, G, Coulibaly, B, Nebie, E, Krisam, J, Klose, C, Kieser, M, Jahn, A, Lu, G, D'Alessandro, U, Sié, A, Mockenhaupt, FP and Müller, O (2019). Safety and efficacy of artesunate-amodiaquine combined with either methylene blue or primaquine in children with falciparum malaria in Burkina Faso: A randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0222993.s003
Ward, Z, Yeh, J, Bhakta, N, Frazier, AL, Girardi, F and Atun, R (2019). Simulation Results: Global Childhood Cancer Survival. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PWPA9E
Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App drug breakdown. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822077.v1
Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App drug breakdown (groups). [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822104.v1
Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App economic data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822122.v1
Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App species breakdown. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9822179.v1
Delves, M, Lafuente-Monasterio, MJ, Upton, L, Ruecker, A, Leroy, D, Gamo, F and Sinden, R (2019). Table 1 - Fueling Open Innovation for Malaria Transmission-Blocking Drugs: Hundreds of Molecules Targeting Early Parasite Mosquito Stages. [Data Collection]. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2019.02134
Arunga, S (2019). The management of microbial keratitis within Uganda’s primary health system: a situational analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/MSLAOS
Otieno, GP, Bottomley, C, Khagayi, S, Ogwel, B and Nokes, DJ (2019). Replication Data for: Impact of the introduction of rotavirus vaccine on hospital admissions for diarrhoea among children in Kenya: A controlled interrupted time series analysis. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/PH4COG
London School of Hygiene & Tropical Medicine (2019). The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment. [Data Collection]. NCBI Gene Expression Omnibus. https://identifiers.org/geo:GSE135455
Derrick, T (2019). EXTENDED DATA [The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment]. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9696263.v1
Derrick, T (2019). The conjunctival transcriptome in Ethiopians after trichiasis surgery: associations with the development of eyelid contour abnormalities and the effect of oral doxycycline treatment. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9696143.v1
Caruso, BA, Sclar, GD, Routray, P, Nagel, C, Majorin, F, Sola, S, Koehne, W, DeShay, R, Udaipuria, S, Williams, R and Clasen, T (2019). Impact of a multi-level intervention, Sundara Grama, on latrine use and safe disposal of child faeces in rural Odisha, India. [Data Collection]. Harvard Dataverse. https://doi.org/10.23846/TW14IE119.
Desmond, C, Seeley, J and Barnett, T (2019). AHRI.Emergent Properties.2016-2017.v1. [Data Collection]. Africa Health Research Institute. https://doi.org/10.23664/AHRI.Emergent.Properties.v1
Wang, X, Bourne, A, Liu, P, Sun, J, Cai, T, Mburu, G, Cassolato, M, Wang, B and Zhou, W (2019). Data from: Understanding willingness to use oral pre-exposure prophylaxis for HIV prevention among men who have sex with men in China. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.806382j
Demissie, SD, Larson, H, Chantler, T, Kozuki, N, Karafillakis, E, Landegger, J, Kiapi, L, Gebrekirstos, P, Mohammad, S, Wodajo, S and Langston, A (2019). Closing the immunisation gap in Ethiopia: a formative evaluation of 'The Fifth Child Project'. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/Z75DUF
Hébert-Dufresne, L, Althouse, BM, Skrip, L and Bedson, J (2019). Social Mobilization Action Consortium: Community Engagement data from the 2014-2016 Sierra Leone Ebola outbreak. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8247002.v1
Agoti, CN, Plan, MVT, Munywoki, PK, Githinji, G, Medley, GF, Cane, PA, Kellam, P, Cotten, M and Nokes, DJ (2019). Replication Data for: Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/DUCQWE
Cox, SE (2019). Dataset and dictionary for inpatient mortality in a TB ward in the Philippines. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8217443.v1
Mota, JF, Lee, N, White, LV, Marin, FP, Saludar, NR, Solante, MB, Tactacan-Abrenica, RJC, Calapis, RW, Suzuki, M, Saito, N, Ariyoshi, K, Parry, CM, Edwards, T and Cox, SE (2019). Mid-upper arm circumference predicts death in adult patients admitted to a TB ward in the Philippines: A prospective cohort study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8003318.v1
Arunga, S (2019). Traditional Eye Medicine use in Microbial Keratitis in Uganda. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/5GOPKZ
Slater, HC, Ross, A, Felger, I, Hofmann, NE, Robinson, L, Cook, J, Gonçalves, BP, Björkman, A, Ouedraogo, AL, Morris, U, Msellem, M, Koepfli, C, Mueller, I, Tadesse, F, Gadisa, E, Domingo, G, Kapulu, M, Midega, J, Owusu-Agyei, S, Nabet, C, Piarroux, R, Doumbo, O, Doumbo, SN, Koram, K, Lucchi, N, Udhayakumar, V, Mosha, J, Tiono, A, Chandramohan, D, Gosling, R, Mwingira, F, Sauerwein, R, Riley, EM, White, NJ, Nosten, F, Imwong, M, Bousema, T, Drakeley, C and Okell, LC (2019). Data from: The temporal dynamics and infectiousness of subpatent Plasmodium falciparum infections in relation to parasite density. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.75t5382
Webster, J, Landegger, J, Bruce, J, Malunda, D, Chantler, T, Kumakech, E, Schmucker, L, Kiapi, L, Kozuki, N, Olorunsaiye, C and Byrne, E (2019). Impacts of IRC’s Fifth Child community engagement strategy to increase immunisation in northern Uganda. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/6XGSOE
Barry, A, Behet, MC, Nébié, I, Lanke, K, Grignard, L, Ouedraogo, A, Soulama, I, Drakeley, C, Sauerwein, R, Bolscher, JM, Dechering, KJ, Bousema, T, Tiono, AB and Gonçalves, BP (2019). Data from: Functional antibodies against Plasmodium falciparum sporozoites are associated with a longer time to qPCR-detected infection among schoolchildren in Burkina Faso. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.n1m33qq
Seeley, J and Edwards, A (2019). The direct and indirect effects of HIV/ AIDS on the Health and wellbeing of older people study (WOPS)- Wave 3. [Data Collection]. AHRI Data Repository. https://data.ahri.org/index.php/catalog/914
Finger, F, Funk, S, White, K, Siddiqui, MR, Edmunds, WJ and Kucharski, AJ (2019). Additional file 2: of Real-time analysis of the diphtheria outbreak in forcibly displaced Myanmar nationals in Bangladesh. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7829816.v1
Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC (2019). Kilifi Malaria Longitudinal Cohort cross-sectional survey and weekly-follow-up surveillance data for the estimation of parasite prevalence and factors associated with gametocyte carriage. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/18QB3V
Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES (2019). De-identified symptom duration data in SPSS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s007
Haque, F, Rahman, M, Banu, NN, Sharif, AR, Jubayer, S, Shamsuzzaman, A, Alamgir, A, Erasmus, JH, Guzman, H, Forrester, N, Luby, SP and Gurley, ES (2019). Syndromic survey de-identified data in SPSS. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0212218.s005
Grant, AD, Baisley, K, Mzembe, T and Edwards, A (2019). Incidence of tuberculosis infection among adolescents in rural KwaZulu-Natal, South Africa, 2017-2018. [Data Collection]. AHRI Data Repository. https://data.ahri.org/index.php/catalog/912/
Balami, AD, Said, SM, Zulkefli, NAM, Bachok, N and Audu, B (2019). MOESM2 of Effects of a health educational intervention on malaria knowledge, motivation, and behavioural skills: a randomized controlled trial. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7750484.v1
Lukindu, M, Bergey, CM, Wiltshire, RM, Small, ST, Bourke, BP, Kayondo, JK and Besansky, NJ (2019). Data from: Spatio-temporal genetic structure of Anopheles gambiae in the Northwestern Lake Victoria Basin, Uganda: implications for genetic control trials in malaria endemic regions. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.7p177s7
Babu, G (2019). Small for gestational age babies and depressive symptoms of mothers during pregnancy : Results from a birth cohort in India. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/BV8F6
Pacho, A and Fuller, S (2019). Precise Q1Q2 data_deidentified full dataset. [Data Collection]. St George's, University of London, London, United Kingdom. https://doi.org/10.24376/RD.SGUL.7660790.V1
Torres, AG, Vidal, RM, Muhsen, K, Tennant, SM, Svennerholm, A, Sow, SO, Sur, D, Zaidi, AKM, Faruque, ASG, Saha, D, Adegbola, R, Hossain, MJ, Alonso, PL, Breiman, RF, Bassat, Q, Tamboura, B, Sanogo, D, Onwuchekwa, U, Manna, B, Ramamurthy, T, Kanungo, S, Ahmed, S, Qureshi, S, Quadri, F, Hossain, A, Das, SK, Antonio, M, Mandomando, I, Nhampossa, T, Acácio, S, Omore, R, Ochieng, JB, Oundo, JO, Mintz, ED, O’Reilly, CE, Berkeley, LY, Livio, S, Panchalingam, S, Nasrin, D, Farag, TH, Wu, Y, Sommerfelt, H, Robins-Browne, RM, Del Canto, F, Hazen, TH, Rasko, DA, Kotloff, KL, Nataro, JP and Levine, MM (2019). Colonization factors among enterotoxigenic Escherichia coli isolates from children with moderate-to-severe diarrhea and from matched controls in the Global Enteric Multicenter Study (GEMS). [Data Collection]. PLoS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0007037
Khachatryan, N (2019). Rapid Assessment of Avoidable Blindness Dataset: Armenia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000355.
Do, S (2019). Rapid Assessment of Avoidable Blindness Dataset: Cambodia (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000357.
Sawahli, HA (2019). Rapid Assessment of Avoidable Blindness Dataset: Egypt, Sohag (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000358.
Mamutalieva, E (2019). Rapid Assessment of Avoidable Blindness Dataset: Kyrgyzstan, North-east (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000359.
Gurung, R (2019). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bagmati Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000360.
Shahi, B (2019). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Karnali Province (2019). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000361.
Karuga, RN, Mireku, M, Muturi, N, McCollum, R, Vallieres, F, Kumar, M, Taegtmeyer, M and Otiso, L (2019). Supportive supervision of close-to-community providers of health care: Findings from action research conducted in two counties in Kenya. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0216444
Mistry, MN (2019). A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices based on GLDAS data. [Data Collection]. PANGAEA. https://doi.org/10.1594/PANGAEA.904282
Bastiaens, GJH, Tiono, AB, Okebe, J, Pett, HE, Coulibaly, SA, Gonçalves, BP, Affara, M, Ouédraogo, A, Bougouma, EC, Sanou, GS, Nébié, I, Bradley, J, Lanke, KHW, Niemi, M, Sirima, SB, d’Alessandro, U, Bousema, T and Drakeley, C (2018). Data from: Safety of single low-dose primaquine in glucose-6-phosphate dehydrogenase deficient falciparum-infected African males: two open-label, randomized, safety trials. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.230ps
ACTwatch Group (2018). ACTwatch Outlet Survey Files: Kenya 2010. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5016128
Brady, OJ (2018). Microcephaly and potential exposure data in Brazil 2015-2017. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7359197.v1
Kombe, IK, Munywoki, PK, Baguelin, M, Nokes, DJ and Medley, GF (2018). Replication dataset for: Model-based estimates of transmission of respiratory syncytial virus within households. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/BPSZZS
Shearer, FM, Moyes, CL, Pigott, DM, Brady, OJ, Marinho, F, Deshpande, A, Longbottom, J, Browne, AJ, Kraemer, MUG, O'reilly, KM, Hombach, J, Yactayo, S, de Araújo, VEM, da Nóbrega, AA, Mosser, JF, Stanaway, JD, Lim, SS, Hay, SI, Golding, N and Reiner, RC (2018). Data from: Global yellow fever vaccination coverage from 1970 to 2016: an adjusted retrospective analysis. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.5ps8j
Arora, NK, Nair, MKC, Gulati, S, Deshmukh, V, Mohapatra, A, Mishra, D, Patel, V, Pandey, RM, Das, BC, Divan, G, Murthy, GVS, Sharma, TD, Sapra, S, Aneja, S, Juneja, M, Reddy, SK, Suman, P, Mukherjee, SB, Dasgupta, R, Tudu, P, Das, MK, Bhutani, VK, Durkin, MS, Pinto-Martin, J, Silberberg, DH, Sagar, R, Ahmed, F, Babu, N, Bavdekar, S, Chandra, V, Chaudhuri, Z, Dada, T, Dass, R, Gourie-Devi, M, Remadevi, S, Gupta, JC, Handa, KK, Kalra, V, Karande, S, Konanki, R, Kulkarni, M, Kumar, R, Maria, A, Masoodi, MA, Mehta, M, Mohanty, SK, Nair, H, Natarajan, P, Niswade, AK, Prasad, A, Rai, SK, Russell, PSS, Saxena, R, Sharma, S, Singh, AK, Singh, GB, Sumaraj, L, Suresh, S, Thakar, A, Parthasarathy, S, Vyas, B, Panigrahi, A, Saroch, MK, Shukla, R, Rao, KVR, Silveira, MP, Singh, S and Vajaratkar, V (2018). Neurodevelopmental disorders in children aged 2–9 years: Population-based burden estimates across five regions in India. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002615.s009
Morpeth, SC, Munywoki, PK, Hammitt, LL, Bett, A, Bottomley, C, Onyango, CO, Murdoch, DR, Nokes, DJ and Scott, A (2018). Replication Data for: Nasopharyngeal pneumococcal concentration among children in a longitudinal study of household respiratory virus transmission in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/A0AXNN
Cusick, S, Jaramillo, E, Moody, E, Ssemata, AS, Bitwayi, D, Lund, T and Mupere, E (2018). Additional file 1: of Assessment of blood levels of heavy metals including lead and manganese in healthy children living in the Katanga settlement of Kampala, Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6465632.v1
Ominde, MS and Scott, A (2018). Replication Data for: Reliability and validity of the World Health Organization reading standards for paediatric chest radiographs used in the field in an impact study of Pneumococcal Conjugate Vaccine in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/WYAPHO
Pillay, D, Koole, O and Wong, E (2018). Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018. [Data Collection]. Africa Health Research Institute. https://data.ahri.org/index.php/catalog/909/
Jeffries, CL, Rogers, ME and Walker, T (2018). Establishment of a method for Lutzomyia longipalpis sand fly embryo microinjection: the first step towards potential novel control strategies for leishmaniasis. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/S7CZP
Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A (2018). Climate risk index for Italy. [Data Collection]. Zenodo. https://zenodo.org/records/5506630
Davies, NG and Gardner, A (2018). Data from: Monogamy promotes altruistic sterility in insect societies. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.gt8b5
Leung, K, Jit, M, Lau, EHY and Wu, JT (2018). Social contact data for Hong Kong. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.1165562
Vilanculos, A (2018). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Nampula (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000348.
Mishra, S (2018). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Lumbini Province (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000349.
Mikki, N (2018). Rapid Assessment of Avoidable Blindness Dataset: Palestine (2018). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000353.
Mossong, J, Hens, N, Jit, M, Beutels, P, Auranen, K, Mikolajczyk, R, Massari, M, Salmaso, S, Tomba, GS, Wallinga, J, Heijne, J, Sadkowska-Todys, M, Rosinska, M and Edmunds, WJ (2017). POLYMOD social contact data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.1215899
Senghore, M, Otu, J, Witney, A, Gehre, F, Doughty, EL, Kay, GL, Butcher, P, Salako, K, Kehinde, A, Onyejepu, N, Idigbe, E, Corrah, T, de Jong, B, Pallen, MJ and Antonio, M (2017). Whole-genome sequencing illuminates the evolution and spread of multidrug-resistant tuberculosis in Southwest Nigeria. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0184510.s001
Assogba, BS, Milesi, P, Djogbénou, LS, Berthomieu, A, Makoundou, P, Baba-Moussa, LS, Fiston-Lavier, A, Belkir, K, Labbé, P, Weill, M and Belkhir, K (2017). Data from: The ace-1 locus is amplified in all resistant Anopheles gambiae mosquitoes: fitness consequences of homogeneous and heterogeneous duplications. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.4f7qg
Kaindoa, EW, Matowo, NS, Ngowo, HS, Mkandawile, G, Mmbando, A, Finda, M and Okumu, FO (2017). Interventions that effectively target Anopheles funestus mosquitoes could significantly improve control of persistent malaria transmission in south–eastern Tanzania. Supplementary data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0177807.s001
Jasseh, M, D'Alessandro, U and Dondeh, BL (2017). The Gambia - Farafenni INDEPTH Core Dataset 1982-2014 (Release 2017). [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GM011.CMD2014.v1
Bousema, T, Stresman, G, Baidjoe, AY, Bradley, J, Knight, P, Stone, W, Osoti, V, Makori, E, Owaga, C, Odongo, W, China, P, Shagari, S, Doumbo, OK, Sauerwein, RW, Kariuki, S, Drakeley, C, Stevenson, J and Cox, J (2017). Data from: The impact of hotspot-targeted interventions on malaria transmission in Rachuonyo south district in the western Kenyan highlands: a cluster-randomized controlled trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.nr8d8
Omedo, I, Mogeni, P and Rockett, K (2017). Dataset 1: Genotyping results for 111 single nucleotide polymorphisms (SNPs) typed in 2486 Plasmodium falciparum samples collected from primary school children during a parasitological survey in western Kenya in 2009 and 2010. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.4806619.v1
Omedo, I, Mogeni, P and Rockett, K (2017). Dataset 2: Single nucleotide polymorphisms (SNPs) and distance differences between Plasmodium falciparum parasite pairs sampled during a parasitological survey of primary school children in western Kenya. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.4806631.v1
Xie, J, Chen, P, Zhang, J, Gao, Z, Neves, H, Zhang, S, Wen, Q, Chen, W, Kwok, HF and Lin, Y (2017). The prognostic significance of DAPK1 in bladder cancer. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0175290.s004
Lepcha, NT (2017). Rapid Assessment of Avoidable Blindness Dataset: Bhutan (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000307.
Xiao, B (2017). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Garze (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000308.
Kulkarni, S (2017). Rapid Assessment of Avoidable Blindness Dataset: India, Maharashtra, Pune (urban) (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000314.
Mamutalieva, E (2017). Rapid Assessment of Avoidable Blindness Dataset: Kyrgyzstan, South-west (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000320.
Khamphoua, S (2017). Rapid Assessment of Avoidable Blindness Dataset: Laos (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000321.
Jadoon, MZ (2017). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Punjab, Lahore City Katchi Abadis (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000333.
Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Coastal (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000334.
Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Highlands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000335.
Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, Islands (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000336.
Burnett, A (2017). Rapid Assessment of Avoidable Blindness Dataset: Papua New Guinea, National Capital District (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000337.
Kabona, G (2017). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Singida (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000338.
Mutati, G (2017). Rapid Assessment of Avoidable Blindness Dataset: Zambia, Muchinga (2017). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000339.
Modell, B, Darlison, MW, Moorthie, S, Blencowe, H, Petrou, M and Lawn, JE (2016). Epidemiological Methods in Community Genetics and the Modell Global Database of Congenital Disorders (MGDb). [Data Collection]. UCL Discovery. https://discovery.ucl.ac.uk/id/eprint/1532179
Kliemann, BS, Levin, AS, Moura, ML, Boszczowski, I and Lewis, JJ (2016). Data from: Socioeconomic determinants of antibiotic consumption in the state of São Paulo, Brazil: the effect of restricting over-the-counter sales. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.mt685
Mansour, NR, Paveley, R, Gardner, JMF, Bell, AS, Parkinson, T and Bickle, Q (2016). High Throughput Screening Identifies Novel Lead Compounds with Activity against Larval, Juvenile and Adult Schistosoma mansoni. S2 Table. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0004659.s002
Carr, T, Yang, H and Ray, C (2016). Data for: "Temporal Variations of Water Productivity in Irrigated Corn: An Analysis of Factors Influencing Yield and Water Use across Central Nebraska". [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0161944.s001
Hanifa, Y (2016). Diagnostic accuracy of lateral flow urine LAM assay for TB screening of adults with advanced immunosuppression attending routine HIV care in South Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.2182729.v1
Schallig, Henk D. F. H., Altaras, R, Nuwa, A, Agaba, B, Streat, E, Tibenderana, JK, Martin, S and Strachan, CE (2016). Data from: How do patients and health workers interact around malaria rapid diagnostic testing, and how are the tests experienced by patients in practice? A qualitative study in western Uganda. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.39np4
Jasseh, M, D'Alessandro, U and Dondeh, BL (2016). Farafenni INDEPTH Core Dataset 1982-2013 (Release 2016). [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GM011.CMD2013.v1
Wen, Q, Kim, C, Hamilton, PW and Zhang, S (2016). Additional file 1 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D4.v1
Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 2 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D2.v1
Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 3 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D3.v1
Wen, Q, Kim, C, Hamilton, P and Zhang, S (2016). Additional file 4 of A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3624356_D1.v1
Nicholls, SG, Quach, P, von Elm, E, Guttmann, A, Moher, D, Petersen, I, Sørensen, HT, Smeeth, L, Langan, SM and Benchimol, EI (2016). Data from: The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement: methods for arriving at consensus and developing reporting guidelines. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.7d65n
Shihab, HA, Gaunt, TR, Hemani, G, Relton, CL and Davey Smith, G (2016). ARIES mQTL results. [Data Collection]. University of Bristol, Bristol, United Kingdom. https://doi.org/10.5523/bris.r9bxayo5mmk510dczq6golkmb
Campbell, O, Cegolon, L, Macleod, D and Benova, L (2016). Length of Stay After Childbirth in 92 Countries and Associated Factors in 30 Low- and Middle-Income Countries: Compilation of Reported Data and a Cross-sectional Analysis from Nationally Representative Surveys. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001972
de Witt Huberts, JC (2016). BCD Formative Research for PrEP Demand Creation. [Data Collection]. Data Archiving and Networked Services (DANS). https://doi.org/10.17026/dans-xpq-v3y2
Mbonye, AK, Buregyeya, E, Rutebemberwa, E, Clarke, S, Lal, S, Hansen, KS, Magnussen, P and LaRussa, P (2016). Data from: Prescription of antibiotics at drug shops and strategies to improve quality of care and patient safety: a cross-sectional survey in the private sector in Uganda. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.9c87t
Holt, KE (2016). Acinetobacter baumannii GC1 recombination analysis. [Data Collection]. University of Melbourne. https://doi.org/10.4225/49/5690B341A0FDB
Oye, J (2016). Rapid Assessment of Avoidable Blindness Dataset: Cameroon, Centre, Yaounde (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000274.
Rodriguez Rodriguez, B (2016). Rapid Assessment of Avoidable Blindness Dataset: Cuba (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000276.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Maluku (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000291.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, North Sulawesi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000292.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, North Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000293.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Nusa Tenggara Timur (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000294.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Kalimantan (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000295.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000296.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Papua (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000297.
Rif'ati, L (2016). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Sumatra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000298.
Thoufeeq, U (2016). Rapid Assessment of Avoidable Blindness Dataset: Maldives (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000299.
Vilanculos, A (2016). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Inhambane (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000300.
Muhammad, N (2016). Rapid Assessment of Avoidable Blindness Dataset: Nigeria, Sokoto, Wurno (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000301.
Jadoon, MZ (2016). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Khyber Pakhtunkhwa, Mansehra (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000302.
Jadoon, MZ (2016). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, Khyber Pakhtunkhwa, Swabi (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000303.
Kabona, G (2016). Rapid Assessment of Avoidable Blindness Dataset: Tanzania, Morogoro (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000304.
Correia, M (2016). Rapid Assessment of Avoidable Blindness Dataset: Timor-Leste (2016). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000305.
Hanson, C, Waiswa, P, Marchant, T, Marx, M, Manzi, F, Mbaruku, G, Rowe, A, Tomson, G, Schellenberg, J and Peterson, S (2016). Expanded Quality Management Using Information Power for Maternal and Newborn Health in Africa (EQUIP). [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2014.04.99
Landay, A, Reither, K, Katsoulis, L, Beattie, T, Gardiner, N, Lenz, N, Said, K, Mfinanga, E, Pohl, C, Fielding, KL, Jeffery, H, Kagina, BM, Hughes, EJ, Scriba, TJ, Hanekom, WA, Hoff, ST, Bang, P, Kromann, I, Daubenberger, C, Andersen, P and Churchyard, GJ (2015). Data from: Safety and immunogenicity of H1/IC31®, an adjuvanted TB subunit vaccine, in HIV-infected adults with CD4+ Lymphocyte counts greater than 350 cells/mm3: a phase II, multi-centre, double-blind, randomized, placebo-controlled trial. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.r61r8
Chung The, H, Rabaa, MA, Pham Thanh, D, Ruekit, S, Wangchuk, S, Dorji, T, Pem Tshering, K, Nguyen Thi Nguyen, T, Voong Vinh, P, Ha Thanh, T, Nguyen Ngoc Minh, C, Turner, P, Sar, P, Thwaites, G, Holt, KE, Thomson, NR, Bodhidatta, L, Mason, CJ and Baker, S (2015). The introduction and establishment of fluoroquinolone resistant Shigella sonnei into Bhutan. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1610693.v1
Siraj, AS, Bouma, MJ, Santos-Vega, M, Yeshiwondim, AK, Rothman, DS, Yadeta, D, Sutton, PC and Pascual, M (2015). Data from: Temperature and population density determine reservoir regions of spatial persistence in highland malaria. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.kc20m
Owusu, R, Asante, KP, Mahama, E, Awini, E, Anyorigiya, T, Dosoo, D, Amu, A, Jakpa, G, Ofei, E, Segbaya, S, Oduro, AR, Gyapong, M, Hodgson, A, Bart-Plange, C and Owusu-Agyei, S (2015). Glucose-6-Phosphate Dehydrogenase Deficiency and haemoglobin drop after Sulphadoxine-Pyrimethamine use for Intermittent Preventive Treatment of Malaria during pregnancy in Ghana - a cohort study. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1512815.v1
Reuter, S, Corander, J, de Been, M, Harris, S, Cheng, L, Hall, M, Thomson, NR and McNally, A (2015). Directional gene flow and ecological separation in Yersinia enterocolitica. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1482060.v1
Cornick, JE, Chaguza, C, Harris, SR, Yalcin, F, Senghore, M, Kiran, AM, Govindpershad, S, Ousmane, S, Plessis, MD, Pluschke, G, Ebruke, C, McGee, L, Sigaùque, B, Collard, J, Antonio, M, von Gottberg, A, French, N, Klugman, KP, Heyderman, RS, Bentley, SD and Everett, DB (2015). Region specific diversification of the highly virulent serotype 1 Streptococcus pneumoniae. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1472901.v1
Pigott, DM, Bhatt, S, Golding, N, Duda, KA, Battle, KE, Brady, OJ, Messina, JP, Balard, Y, Bastien, P, Pratlong, F, Brownstein, JS, Freifeld, CC, Mekaru, SR, Gething, PW, George, DB, Myers, MF and Hay, SI (2015). Data from: Global distribution maps of the Leishmaniases. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.05f5h
Hanifa, Y, Telisinghe, L, Fielding, KL, Malden, JL, Churchyard, GJ, Grant, AD and Charalambous, S (2015). The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1399199.v1
Meyer-Rath, G, Pienaar, J, Brink, B, Van Zyl, A, Muirhead, D, Grant, AD, Churchyard, GJ, Watts, C and Vickerman, P (2015). The impact of company-level ART provision to a mining workforce in South Africa: a cost–benefit analysis. [Data Collection]. Boston University Libraries. https://hdl.handle.net/2144/10817
Camacho, A, Kucharski, AJ, Aki-Sawyerr, Y, White, MA, Flasche, S, Baguelin, M, Pollington, TM, Carney, J, Glover, R, Smout, E, Tiffany, A, Edmunds, WJ and Funk, S (2015). Bed capacity for Ebola patients in Sierra Leone. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.1304889.v1
Xiao, B (2015). Rapid Assessment of Avoidable Blindness Dataset: China, Xinjiang, Altay and Tacheng (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000240.
Ukety, T (2015). Rapid Assessment of Avoidable Blindness Dataset: Democratic Republic of Congo, Ituri, Aru and Mahagi (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000242.
Yee, M (2015). Rapid Assessment of Avoidable Blindness Dataset: Guatemala (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000243.
Nemeth, J (2015). Rapid Assessment of Avoidable Blindness Dataset: Hungary (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000244.
Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Bali (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000249.
Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Central Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000250.
Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, East Java (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000251.
Rif'ati, L (2015). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, Jakarta (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000252.
Harimanitra Andriamanjato, H (2015). Rapid Assessment of Avoidable Blindness Dataset: Madagascar, Analamanga (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000253.
Lansingh, VC (2015). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Queretaro (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000254.
Kandel, R (2015). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Narayani (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000256.
Khan, M (2015). Rapid Assessment of Avoidable Blindness Dataset: Pakistan, FATA, Peshawar (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000257.
Mathenge, W (2015). Rapid Assessment of Avoidable Blindness Dataset: Rwanda (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000258.
Kikira, S (2015). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Northern, Karamoja (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000259.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Bac Ninh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000260.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Binh Duong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000261.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Ca Mau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000262.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Dien Bien (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000263.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Gia Lai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000264.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Ha Tinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000265.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Lam Dong (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000266.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Nam Dinh (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000267.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Phu Tho (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000268.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Ngai (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000269.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Tri (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000270.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Tien Giang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000271.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Tuyen Quang (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000272.
Pham, QN (2015). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Vung Tau (2015). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000273.
Binyaruka, P, Patouillard, E, Powell-Jackson, T, Greco, G, Maestad, O and Borghi, J (2015). Effect of paying for performance on utilisation, quality, and user costs of health services in Tanzania: a controlled before and after study. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/IHI.2013.02.99
Caputo, B, Nwakanma, D, Caputo, FP, Jawara, M, Oriero, C, Adiamoh, M, Dia, I, Konate, L, Petrarca, V, Pinto, J, Conway, DJ, della Torre, A, Oriero, EC and Hamid-Adiamoh, M (2014). Data from: Prominent intra-specific genetic divergence within Anopheles gambiae sibling species triggered by habitat discontinuities across a riverine landscape. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.601fk
Borghi, J, Mamdani, M, Abdulla, S, Mayumana, I, Mashasi, I, Binyaruka, P, Patouillard, E, Njau, I and Maestad, O (2014). Evaluation of a pay for performance programme in Pwani region in Tanzania: A controlled before and after study, PROCESS. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2012.01.99
Borghi, J, Mamdani, M, Abdulla, S, Mayumana, I, Mashasi, I, Binyaruka, P, Patouillard, E, Njau, I and Maestad, O (2014). Evaluation of a pay for performance programme in Pwani region in Tanzania: A controlled before and after study, IMPACT. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2012.12.99
Overgaard, H, Moore, S, Lorenz, L and Kisinza, W (2014). The useful life of bednets for malaria control in Tanzania: Attrition, Bioefficacy, Chemistry, Durability and insecticide Resistance - Household survey 2013, Retrospective household survey. [Data Collection]. Ifakara Health Institute, Dar es Salaam, Tanzania. https://doi.org/10.17890/ihi.2013.06.99
Ramagopalan, SV, Skingsley, A, Handunnetthi, L, Magnus, D, Pakpoor, J and Goldacre, B (2014). Data set of primary outcome changes in interventional clinical trials registered on ClinicalTrials.org. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.967827.v1
Paez, A (2014). Rapid Assessment of Avoidable Blindness Dataset: Bolivia (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000220.
Musana, P (2014). Rapid Assessment of Avoidable Blindness Dataset: Botswana (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000221.
Zhang, G (2014). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Hohhot (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000223.
Mansur, S (2014). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, West Java (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000226.
Farzad Mohammadi, S (2014). Rapid Assessment of Avoidable Blindness Dataset: Iran, Kurdistan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000228.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Johor and Melaka (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000229.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Kelantan, Terengganu and Pahang (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000230.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Kuala Lumpur, Putrajaya, Selangor and Negeri Sembilan, (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000231.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Perlis, Kedah, Penang and Perak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000232.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Sabah and Labuan (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000233.
Salowi, MA (2014). Rapid Assessment of Avoidable Blindness Dataset: Malaysia, Sarawak (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000234.
Bastar, PAG (2014). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Nuevo Leon (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000235.
Sossinou, A (2014). Rapid Assessment of Avoidable Blindness Dataset: Togo (2014). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000238.
Rural AIDS & Development Action Research Programme, University of the Witwatersrand, London School of Hygiene and Tropical Medicine and Small Enterprise Foundation (2014). Intervention with Microfinance for AIDS and Gender Equity 2001-2003. [Data Collection]. DataFirst. https://doi.org/10.25828/yebs-j953
Brady, OJ (2013). Model of adult Aedes aegypti survival/mortality at different temperatures. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.865034.v1
Brady, OJ (2013). Model of adult Aedes albopictus survival/mortality at different temperatures. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.865035.v1
Churcher, TS, Bousema, T, Walker, M, Drakeley, C, Schneider, P, Ouédraogo, AL and Basáñez, M (2013). Data from: Predicting mosquito infection from Plasmodium falciparum gametocyte density and estimating the reservoir of infection. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.0k402
Schneider, P, Bousema, T, Gouagna, LC, Otieno, S, van de Vegte-Bolmer, M, Omar, SA and Sauerwein, RW (2013). Data from: Submicroscopic Plasmodium falciparum gametocyte densities frequently result in mosquito infection. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.589ft
Newton, CR, Ngugi, AK, Bottomley, C, Kleinschmidt, I, Wagner, RG, Kakooza-Mwesige, A, Ae-Ngibise, K, Owusu-Agyei, S, Masanja, H, Kamuyu, G, Odhiambo, R, Chengo, E and Sander, JW (2013). Epidemiology and Treatment of Epilepsy in sub-Saharan Africa. [Data Collection]. INDEPTH Network. https://doi.org/10.7796/INDEPTH.GH002.SEEDS.v1
Wurie, F, Le Polain de Waroux, OL, Brande, M, DeHaan, W, Holdgate, K, Mannan, R, Milton, D, Swerdlow, D and Hayward, A (2013). Exhaled particle production data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.106632.v1
Barrenechea, R (2013). Rapid Assessment of Avoidable Blindness Dataset: Argentina (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000210.
Muhit, M (2013). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Barisal, Barisal (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000211.
Alvarado, D (2013). Rapid Assessment of Avoidable Blindness Dataset: Honduras (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000212.
Ashraf, A (2013). Rapid Assessment of Avoidable Blindness Dataset: Indonesia, South Sulawesi (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000213.
Davaatseren, U (2013). Rapid Assessment of Avoidable Blindness Dataset: Mongolia (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000215.
Brea, I (2013). Rapid Assessment of Avoidable Blindness Dataset: Panama (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000216.
Pawiroredjo, J (2013). Rapid Assessment of Avoidable Blindness Dataset: Suriname (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000217.
Kikira, S (2013). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Western, Hoima (2013). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000219.
Jaramillo, JF, Olano, VA, Vargas, S, Sarmiento-Senior, D, Overgaard, HJ and Alexander, N (2013). Escuelas saludables: reduciendo las enfermedades de diarrea y dengue en las escuelas rurales de Anapoima y La Mesa, Cundinamarca. [Data Collection]. Universidad El Bosque, Bogotá, Colombia. http://hdl.handle.net/20.500.12495/9389
Deitz, KC, Athrey, G, Reddy, MR, Overgaard, HJ, Matias, A, Jawara, M, della Torre, A, Petrarca, V, Pinto, J, Kiszewski, AE, Kengne, P, Costantini, C, Caccone, A, Slotman, MA, Jawara, M and Athrey, G (2012). Data from: Genetic isolation within the malaria mosquito Anopheles melas. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.d15d4
Moerchen, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Cambodia, Takeo (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000194.
Zhang, X (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Guangdong, Chaonan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000195.
Xiao, B (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Jianchuan (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000197.
Xiao, B (2012). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Lancang (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000198.
Rabiu, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Jordan, Irbid (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000201.
Kerkula, J (2012). Rapid Assessment of Avoidable Blindness Dataset: Liberia (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000202.
Paduca, A (2012). Rapid Assessment of Avoidable Blindness Dataset: Moldova (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000203.
Chagunda, M (2012). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Sofala (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000204.
Musana, P (2012). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Central, Mubende (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000206.
Finger, R (2012). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Nghe An (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000207.
Finger, R (2012). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Quang Nam (2012). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000208.
Muhit, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Tangail (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000169.
Muhit, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Kushtia (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000170.
Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Burkina Faso, West Central (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000172.
Wang, T (2011). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Dechang (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000173.
Wang, T (2011). Rapid Assessment of Avoidable Blindness Dataset: China, Sichuan, Mianning (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000174.
Violeta Velasquez, A (2011). Rapid Assessment of Avoidable Blindness Dataset: El Salvador (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000175.
Wachira, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Coast, Kwale (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000178.
Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Mali, Koulikoro (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000180.
Chagunda, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Mozambique, Nampula (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000181.
Duerksen, R (2011). Rapid Assessment of Avoidable Blindness Dataset: Paraguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000182.
Gonzales, C (2011). Rapid Assessment of Avoidable Blindness Dataset: Peru (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000183.
Hajar, S (2011). Rapid Assessment of Avoidable Blindness Dataset: Saudi Arabia, Makkah, Al Taif (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000185.
Oye, J (2011). Rapid Assessment of Avoidable Blindness Dataset: Sierra Leone (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000186.
Musana, P (2011). Rapid Assessment of Avoidable Blindness Dataset: Uganda, Western, Ntungamo (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000188.
Gallarreta, M (2011). Rapid Assessment of Avoidable Blindness Dataset: Uruguay (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000189.
Finger, R (2011). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Thanh Hoa (2011). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000190.
Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Gazipur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000140.
Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Jamalpur (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000141.
Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Dhaka, Kishoreganj (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000142.
Muhit, M (2010). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Narail (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000143.
Kandeke, L (2010). Rapid Assessment of Avoidable Blindness Dataset: Burundi, Ngozi and Kayanza (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000144.
Zhang, X (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Hainan (rural) (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000145.
Xiao, B (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Shangdu (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000146.
Xiao, B (2010). Rapid Assessment of Avoidable Blindness Dataset: China, Inner Mongolia, Tuoketuo (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000147.
Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Guinea Bissau (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000149.
Kalua, K (2010). Rapid Assessment of Avoidable Blindness Dataset: Malawi, South-western health zone (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000151.
Polack, S (2010). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Chiapas, Central, Highland and Frailesca (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000152.
Sapkota, Y (2010). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Dhaulagiri (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000154.
Sapkota, Y (2010). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Rapti (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000155.
Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Senegal, Fatick (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000156.
Oye, J (2010). Rapid Assessment of Avoidable Blindness Dataset: Senegal, Kaolack (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000157.
Finger, R (2010). Rapid Assessment of Avoidable Blindness Dataset: Vietnam, Son La (2010). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000168.
Tshering Lepcha, N (2009). Rapid Assessment of Avoidable Blindness Dataset: Bhutan (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000118.
Chiriboga, F (2009). Rapid Assessment of Avoidable Blindness Dataset: Ecuador (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000119.
Rajavi, Z (2009). Rapid Assessment of Avoidable Blindness Dataset: Iran, Tehran, Varamin (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000126.
Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bheri (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000127.
Singh, S (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Koshi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000128.
Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Mechi (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000129.
Sapkota, Y (2009). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Sagarmatha (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000130.
Kaid Al-Khatib, T (2009). Rapid Assessment of Avoidable Blindness Dataset: Yemen, Amran (2009). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000134.
Wu, M (2008). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Luliang (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000107.
Carlos Batlle, J (2008). Rapid Assessment of Avoidable Blindness Dataset: Dominican Republic (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000108.
Jain, E (2008). Rapid Assessment of Avoidable Blindness Dataset: India, Uttar Pradesh, Chitrakoot (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000110.
Oye, J (2008). Rapid Assessment of Avoidable Blindness Dataset: Mali, Koulikoro (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000111.
Gurung, R (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Bagmati (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000112.
Gurung, R (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Janakpur (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000113.
Sapkota, Y (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Karnali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000114.
Sapkota, Y (2008). Rapid Assessment of Avoidable Blindness Dataset: Nepal, Seti and Mahakali (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000115.
Sargent, N (2008). Rapid Assessment of Avoidable Blindness Dataset: Palestine (2008). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000116.
Rachet, B, Westlake, S, Cooper, N, Shah, A, Quinn, M and Coleman, MP (2007). Cancer survival in the 'Spearhead' Primary Care Trusts of England, 1996-2003. [Data Collection]. The National Archives UK. https://data.gov.uk/dataset/cancer_survival_in_the_spearhead_primary_care_trusts_of_england
Seiha, D (2007). Rapid Assessment of Avoidable Blindness Dataset: Cambodia (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000078.
Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Gao'an (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000079.
Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Wanzai (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000080.
Xiao, B (2007). Rapid Assessment of Avoidable Blindness Dataset: China, Jiangxi, Xingan (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000081.
Karimurio, J (2007). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Eastern, Embu (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000083.
Mathenge, W (2007). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Rift Valley, Kericho (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000084.
Khamphoua, S (2007). Rapid Assessment of Avoidable Blindness Dataset: Laos (2007). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000085.
Barria-Von Bisschoffshausen, F (2006). Rapid Assessment of Avoidable Blindness Dataset: Chile, Bio Bio (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000070.
Wu, M (2006). Rapid Assessment of Avoidable Blindness Dataset: China, Yunnan, Kunming (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000071.
Eusebio, T (2006). Rapid Assessment of Avoidable Blindness Dataset: Philippines, Western Visayas, Antique (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000076.
Mathenge, W (2006). Rapid Assessment of Avoidable Blindness Dataset: Rwanda, South-west (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000077.
Rachet, B, Coleman, MP, Cooper, N and Quaresma, M (2006). Cancer survival in the Strategic Health Authorities of England, 1996-2003. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20101113201310/http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=11991
Rachet, B, Coleman, MP, Cooper, N and Elgohari, S (2006). Cancer survival in the Strategic Health Authorities of England, 1997-2004. [Data Collection]. Office for National Statistics. http://www.ons.gov.uk/ons/dcp19975_154103.xml
Rachet, B, Coleman, MP, Cooper, N, Quinn, M and Wood, H (2005). Long-term Breast Cancer Survival, England and Wales, up to 2003. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070111035057/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=9132&More=Y
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England 1998-2003. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20070610223546/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=8982
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England and Wales, 1991-2001, four major cancers. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070312224943/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7091
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer Survival: England and Wales, 1991-2001, less common cancers by age group. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20070505052934/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=8904
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival in the strategic health authorities of England, 1995-2002. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070715075347/http://www.statistics.gov.uk/statbase/Product.asp?vlnk=11991
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: England and Wales, 1991-2001, twenty major cancers. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070505052816/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7898
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: England and Wales, 1991-2001, twenty major cancers by age group. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20090629232158/http://www.statistics.gov.uk/statbase/ssdataset.asp?vlnk=7899
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 1999. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20060221012923/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=4878&More=Y
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 1999 - four further cancer sites. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20060221012955/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=5388&More=Y
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 2000. [Data Collection]. Office for National Statistics, London, United Kingdom. https://web.archive.org/web/20060221013017/http://www.statistics.gov.uk/StatBase/ssdataset.asp?vlnk=5389&More=Y
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Cancer survival: five year relative survival rates in England by Health Authority up to 2000 - four further cancer sites. [Data Collection]. Office for National Statistics, London, United Kingdom. http://web.archive.org/web/20060222052104/http://www.statistics.gov.uk/STATBASE/ssdataset.asp?vlnk=5392&More=Y
Rachet, B, Coleman, MP, Cooper, N and Quinn, M (2005). Survival rates in England by Strategic Health Authority up to 2001. [Data Collection]. Office for National Statistics. https://web.archive.org/web/20070109133352/http://www.statistics.gov.uk/downloads/theme_health/SurvivalRatesbySHA2001Data.xls
Wadud, Z (2005). Rapid Assessment of Avoidable Blindness Dataset: Bangladesh, Khulna, Satkhira (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000057.
Mathenge, W (2005). Rapid Assessment of Avoidable Blindness Dataset: Kenya, Rift Valley, Nakuru (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000063.
A. Gomez Bastar, P (2005). Rapid Assessment of Avoidable Blindness Dataset: Mexico, Nuevo Leon (2006). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000064.
Eusebio, T (2005). Rapid Assessment of Avoidable Blindness Dataset: Philippines, Western Visayas, Negros (2005). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000067.
Arieta, C (2004). Rapid Assessment of Avoidable Blindness Dataset: Brazil, Sao Paulo, Campinas (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000055.
Beltranena, F (2004). Rapid Assessment of Avoidable Blindness Dataset: Guatemala, Southwest (2004). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000051.
Nano, M and International Centre for Eye Health (2003). Rapid Assessment of Avoidable Blindness Dataset: Argentina, Buenos Aires (urban) (2003). [Data Collection]. London School of Hygiene & Tropical Medicine RAAB Repository. https://doi.org/10.17037/RAABDATASET.00000048.