Lovas, S, Pál, L, Kovács, N, Diószegi, J, Mckee, M and Szűcs, S (2024). The concentrations of volatile organic compounds in residential, office, and educational buildings in the Member States of the European Union between 2010 and 2023. [Data Collection]. Mendeley Data. https://doi.org/10.17632/x4887snd8j.2

Haque, F, Lampe, FC, Hajat, S, Stavrianaki, K, Hasan, SMT, Faruque, ASG, Ahmed, T, Jubayer, S and Kelman, I (2024). S1 Data for: "Impacts of climate change on diarrhoeal disease hospitalisations: How does the global warming targets of 1.5–2°C affect Dhaka, Bangladesh?". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0012139.s005

O'Donovan, G, Allen, D, Nkosi-gondwe, T, Anujuo, K, Abera, M, Kirolos, A, Olga, L, Thompson, D, McKenzie, K, Wimborne, E, Cole, TJ, Koulman, A, Lelijveld, N, Crampin, AC, Kangas, S, Badaloo, A, Ameya, G, Opondo, C and Kerac, M (2024). Data and code for: “Weight gain among children with severe malnutrition in therapeutic feeding programmes: a systematic review and meta-analysis”. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00004346.

Brunn, A and Waage, J (2024). Data extraction results for a scoping review on AMR in food crops. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003087.

Ip, DKM, Ng, YY, Tam, YH, Thomas, NV, Dahal, P, Stepniewska, K, Newton, PN, Guérin, PJ and Hopkins, H (2024). Additional file 3 of Non-malarial febrile illness: a systematic review of published aetiological studies and case reports from China, 1980–2015. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26798760.v1

Adegbola, AJ, Ijarotimi, OA, Ubom, AE, Adesoji, BA, Babalola, OE, Hocke, EF, Hansson, H, Mousa, A, Bolaji, OO, Alifrangis, M and Roper, C (2024). Additional file 1 of A snapshot of the prevalence of dihydropteroate synthase-431V mutation and other sulfadoxine-pyrimethamine resistance markers in Plasmodium falciparum isolates in Nigeria. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.26572123.v1

Institute for Health Metrics and Evaluation (IHME) and London School of Hygiene and Tropical Medicine (2024). Measles Seroprevalence Systematic Review and Bias Assessment 1962-2019. [Data Collection]. Global Health Data Exchange (GHDx). https://ghdx.healthdata.org/record/ihme-data/measles-serosurvey-bias-systematic-review

Roell, Y, Pezzi, L, Lozano-Parra, A, Olson, D, Messina, J, Quandelacy, T, Drexler, JF, Brady, O, Karimzadeh, M and Jaenisch, T (2024). S1 Table for "Assessing vulnerability for future Zika virus outbreaks using seroprevalence data and environmental suitability maps". [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0012017.s001

Burke, R (2024). Computer Aided Screening for Tuberculosis in Low Resource Environments (CASTLE) trial data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003552.

Muriithi, FG, Banke-Thomas, A, Forbes, G, Gakuo, RW, Thomas, E, Gallos, ID, Devall, A, Coomarasamy, A and Lorencatto, F (2024). ROBVIS generic dataset. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pgph.0002950.s003

Muriithi, FG, Banke-Thomas, A, Forbes, G, Gakuo, RW, Thomas, E, Gallos, ID, Devall, A, Coomarasamy, A and Lorencatto, F (2024). A systematic review of behaviour change interventions to improve maternal health outcomes in sub-Saharan Africa: Framework analysis and coding. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pgph.0002950.s002

Muriithi, FG, Banke-Thomas, A, Forbes, G, Gakuo, RW, Thomas, E, Gallos, ID, Devall, A, Coomarasamy, A and Lorencatto, F (2024). A systematic review of behaviour change interventions to improve maternal health outcomes in sub-Saharan Africa: Included studies and extracted data. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pgph.0002950.s001

Muriithi, FG, Banke-Thomas, A, Forbes, G, Gakuo, RW, Thomas, E, Gallos, ID, Devall, A, Coomarasamy, A and Lorencatto, F (2024). A systematic review of behaviour change interventions to improve maternal health outcomes in sub-Saharan Africa: Quality assessment. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pgph.0002950.s005

Downs, LO, Campbell, C, Abouyannis,, M, Otiende, M, Kapulu, M, Obiero, CW, Hamaluba, M, Ngetsa, C, Andersson, M, Githinji, G, Warimwe, G, Baisley, K, Scott, JAG, Matthews, PC and Etyang, A (2023). Replication Data for: Where Do Those Data Go? Reuse of screening results from clinical trials to estimate population prevalence of HBV infection in adults in Kilifi, Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FPUH4R

Legge, H, Pullan, RL and Sartorius, B (2023). S1 Data for "Improved household flooring is associated with lower odds of enteric and parasitic infections 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.0002631.s013

Suárez-Idueta, L, Blencowe, H, Okwaraji, YB, Yargawa, J, Bradley, E, Gordon, A, Flenady, V, Paixao Cruz, ES, Barreto, ML, Lisonkova, S, Wen, Q, Velebil, P, Jírová, J, Horváth-Puhó, E, Sørensen, HT, Sakkeus, L, Abuladze, L, Yunis, KA, Bizri, AA, Barranco, A, Broeders, L, van Dijk, AE, Alyafei, F, Olukade, TO, Razaz, N, Söderling, J, Smith, LK, Draper, ES, Lowry, E, Rowland, N, Wood, R, Monteath, K, Pereyra, I, Pravia, G, Ohuma, EO and Lawn, JE (2023). Data for: "Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003690.

Suárez-Idueta, L, Ohuma, EO, Chang, C, Hazel, EA, Yargawa, J, Okwaraji, YB, Bradley, E, Gordon, A, Sexton, J, Lawford, H, Paixao cruz, ES, Falcão, IR, Lisonkova, S, Wen, Q, Velebil, P, Jírová, J, Horváth-Puhó, E, Sørensen, HT, Sakkeus, L, Abuladze, L, Yunis, KA, Bizri, AA, Alvarez Lopez, S, Broeders, L, van Dijk, AE, Alyafei, F, AlQubaisi, M, Razaz, N, Söderling, J, Smith, LK, Matthews, R, Lowry, E, Rowland, N, Wood, R, Monteath, K, Pereyra, I, Pravia, G, Lawn, JE and Blencowe, H (2023). Data for: "Neonatal mortality risk of large for gestational age and macrosomic live births in 15 countries including 115.6 million nationwide linked records, 2000–2020". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003666.

Sbarra, AN (2023). Evaluating scope and bias of population-level measles serosurveys: a systematic review and bias assessment. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8393567

Walton, Z (2023). Data for: "Shifting a food system conference online mitigates structural barriers to equitable participation, but hinders meaningful interpersonal connections". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003485.

Portnoy, A, Yamanaka, T, Nguhiu, P, Nishikiori, N, Garcia Baena, I, Floyd, K and Menzies, NA (2023). Costs incurred by people receiving TB treatment in low- and middle-income countries: a meta-regression analysis. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8165289

Olubodun, T, Macharia, PM, Wong, KL, Gwacham-Anisiobi, U, Ogunyemi, O, Beňová, L, Omolade Abejirinde, I, Makanga, PT, Wang, J, Afolabi, BB and Banke-Thomas, A (2023). Geocoded database of health facilities with verified capacity for caesarean section in urban Nigeria. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22689667.v2

Banke-Thomas, A, Olubodun, T, Macharia, PM, Wong, KL, Gwacham-Anisiobi, U, Ogunyemi, O, Benova, L, Omolade Abejirinde, I, Makanga, PT, Wang, J, Stanton, C, Sundararajan, N, Shah, Y, Prasad, G, Kansal, M, Vispute, S, Shekel, T and Afolabi, BB (2023). A geospatial database of close to reality travel times to obstetric emergency care in 15 Nigerian conurbations. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22699759.v1

Nadkarni, A (2023). Interventions to increase help-seeking for mental health care in low-and-middle-income countries: a systematic review. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003564.

Záhonová, K, Low, RS, Warren, CJ, Cantoni, D, Herman, EK, Yiangou, L, Ribeiro, CA, Phanprasert, Y, Brown, IR, Rueckert, S, Baker, NL, Tachezy, J, Betts, EL, Gentekaki, E, van der Giezen, M, Clark, CG, Jackson, AP, Dacks, JB and Tsaousis, AD (2023). Evolutionary analysis of cellular reduction and anaerobicity in the hyper-prevalent gut microbe Blastocystis. [Data Collection]. Current Biology. https://doi.org/10.1016/j.cub.2023.05.025

Knight, G (2023). Data Management for interview and focus group resources in health. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04646631

Timire, C (2023). Data for: Coverage and effectiveness of conditional cash transfer for people with drug resistant tuberculosis in Zimbabwe. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003188.

Glynn, JR (2023). Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002829.

Simons, D, Attfield, LA, Jones, KE, Watson-Jones, D and Kock, R (2023). Data from: Rodent trapping studies as an overlooked information source for understanding endemic and novel zoonotic spillover. [Data Collection]. GigaScience Journal. https://doi.org/10.15468/zr6frj

Timire, C, Sandy, C, Ferrand, RA, Mubau, R, Shiri, P, Mbiriyawanda, O, Mbiba, F, Houben, Rein M. G. J., Pedrazzoli, D, Bond, V, Foster, N and Kranzer, K (2022). Dataset: Cash transfer project. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001027.s004

London School of Hygiene & Tropical Medicine (2022). London School of Hygiene and Tropical Medicine Activity File. [Data Collection]. International Aid Transparency Initiative. https://www.iatiregistry.org/dataset/lshtm-activities

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). List of differentially expressed genes at all time points. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0278295.s002

Atkins, S, Heimo, L, Carter, DJ, Ribas Closa, M, Vanleeuw, L, Chenciner, L, Wambi, P, Sidney-Annerstedt, K, Egere, U, Verkuijl, S, Brands, A, Masini, T, Viney, K, Wingfield, T, Lönnroth, K and Boccia, D (2022). Additional file 1 of The socioeconomic impact of tuberculosis on children and adolescents: a scoping review and conceptual framework. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21622247.v1

Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, Van Zandvoort, K, Funk, S and Edmunds, WJ (2022). Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7351950

Mustard, C, Haines, A, Belesova, K and Cousens, S (2022). Achieving good health with low environmental footprint - A comparison of national indicators dataset. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21547854.v1

Keay, L, Ren, K, Nguyen, H, Vajdic, C, Odutola, M, Gyawali, R, Toomey, M, Peters, R, Ee, N, Dillon, L, Hackett, M, Ah Tong, B, D'Esposito, F, Faulmann, D, Burton, MJ, Ramke, J and Jalbert, I (2022). Supporting data for: Risk factors common to leading eye health conditions and major non-communicable diseases: A rapid review and commentary. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.gxd2547q0

Welsh, J, Hounkpatin, H, Gross, MM, Hanson, C and Moller, A (2022). Additional file 2 of Do in-service training materials for midwifery care providers in sub-Saharan Africa meet international competency standards? A scoping review 2000–2020. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21340396.v1

Zhang, J, Pitol, AK, Braun, L, Hazell, L and Templeton, MR (2022). The efficacy of soap against schistosome cercariae: A systematic review. Search results. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010820.s004

Ingleby, F, Woods, LM, Atherton, I and Belot, A (2022). Life Table According to Age, Sex and Individual Socio-economic Status for the England and Wales Population, 2011. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855689

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2022). hamishgibbs/facebook_population_2020_2021. [Data Collection]. Github. https://github.com/hamishgibbs/facebook_population_2020_2021

Sherratt, K and Funk, S (2022). covid19-forecast-hub-europe/euro-hub-ensemble: Zenodo release. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6895699

Wang, SV, Sreedhara, SK, Schneeweiss, S, Franklin, JM, Gagne, JJ, Huybrechts, KF, Patorno, E, Jin, Y, Lee, M, Mahesri, M, Pawar, A, Barberio, J, Bessette, LG, Chin, K, Gautam, N, Ortiz, AS, Sears, E, Stefanini, K, Zakarian, M, Dejene, S, Rogers, JR, Brill, G, Landon, J, Lii, J, Tsacogianis, T, Vine, S, Garry, EM, Gibbs, LR, Gierada, M, Isaman, DL, Payne, E, Alwardt, S, Arlett, P, Bartels, DB, Bate, A, Berlin, J, Bourke, A, Bradbury, B, Brown, J, Burnett, K, Brennan, T, Chan, KA, Choi, N, de Vries, F, Eichler, H, Filion, KB, Freeman, L, Hallas, J, Happe, L, Hennessy, S, Jónsson, P, Ioannidis, J, Jimenez, J, Kahler, KH, Laine, C, Loder, E, Makady, A, Martin, D, Nguyen, M, Nosek, B, Platt, R, Platt, RW, Seeger, J, Shrank, W, Smeeth, L, Sørensen, HT, Tugwell, P, Uyama, Y, Willke, R, Winkelmayer, W and Zarin, D (2022). Reproducible Evidence: Practices to Enhance and Achieve Transparency (REPEAT). [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/MY5GN

Muriithi, FG, Banke-Thomas, A, Gakuo, R, Pope, K, Coomarasamy, A and Gallos, ID (2022). Supporting files for: "Individual, health facility and wider health system factors contributing to maternal deaths in Africa: A scoping review". [Data Collection]. PLOS Global Public Health.

Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Data for Figures and Tables in "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6224375

Schöley, J, Aburto, JM, Kashnitsky, I, Kniffka, MS, Zhang, L, Jaadla, H, Dowd, JB and Kashyap, R (2022). Life table data for "Bounce backs amid continued losses: Life expectancy changes since COVID-19". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6241024

Blom, IM (2022). PRISMA-P Checklist for ‘A Systematic Review Protocol for Identifying the Effectiveness of Greenhouse Gas Mitigation Interventions for Health Care Systems in Low- and Middle-Income Countries’. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002988.

Banke-Thomas, A (2022). Intra-facility_maternal_deaths_Lagos_2018-2019. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.20098148.v1

Rehman, AM, Simms, V, McHugh, G, Mujuru, H, Ngwira, LG, Semphere, R, Moyo, B, Bandason, T, Odland, JO and Ferrand, RA (2022). Adherence to additional medication for management of HIV-associated comorbidities among older children and adolescents taking antiretroviral therapy. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0269229.s001

Lin, L (2022). liang-yu12/ukb_vd_hz_publish: Analytic codes for vitamin D and herpes zoster using UK Biobank. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6637502

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Finland). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6542663

Gimma, A, Wong, KL, Coletti, P and Jarvis, CI (2022). CoMix social contact data (Croatia). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6535325

Powell-Jackson, T, Fardousi, N, da Silva, E, Kovacs, R, Borghi, J, Barreto, J, Søren, K, Sampaio, J, Shimizu, HE, Gomes, L, Letícia, X and Garibaldi, G (2022). Supporting files for: Performance bonuses and the quality of primary health care delivered by family health teams in Brazil: A difference-in differences analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002886.

Gasparrini, A (2022). gasparrini/CTS-smallarea. [Data Collection]. Github. https://github.com/gasparrini/CTS-smallarea

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). Accession numbers and data for S. Typhi sequences used in this study. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010306.s005

Malawi Government, Phiri, K, Saunders, J, Muleya, M, Joy, E, Tang, K, Smith, G and Pitchford, N (2022). Unified Region Based Covariates for Investigating the Causes of Early Childhood Adversity, 2010-2017. [Data Collection]. UK Data Service, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855070

Ferrari, G, Torres-Rueda, S, Jewkes, R and Vassall, A (2022). Prevention of violence against women and girls: A cost-effectiveness study across six low- and middle-income countries. [Data Collection]. MEDAT Data Repository. https://medat.samrc.ac.za/index.php/catalog/48

Kumar, N, Corpus, I, Hans, M, Harle, N, Yang, N, McDonald, C, Sakai, SN, Janmohamed, K, Chen, K, Altice, FL, Tang, W, Schwartz, JL, Jones-Jang, SM, Saha, K, Memon, SA, Bauch, CT, Choudhury, MD, Papakyriakopoulos, O, Tucker, JD, Goyal, A, Tyagi, A, Khoshnood, K and Omer, S (2022). COVID-19 Vaccine Perceptions on Reddit. [Data Collection]. OSF. https://osf.io/urp2a/

Fernández-Niño, JA, Rojas Botero, ML, Arregoces, L and Ruiz, F (2022). Dataset of Study: Estimated number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia. [Data Collection]. Zenodo. https://doi.org/10.6084/m9.figshare.19122530.v1

Abbott, S and Bracher, J (2021). epiforecasts/forecast.vocs. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5559016

Kamau, A, Paton, RS, Akech, S, Mpimbaza, A, Khazenzi, C, Ogero, M, Mumo, E, Alegana, VA, Agweyu, A, Mturi, N, Mohammed, S, Bigogo, G, Audi, A, Kapisi, J, Sserwanga, A, Namuganga, JF, Kariuki, S, Otieno, NA, Nyawanda, BO, Olotu, A, Salim, N, Athuman, T, Abdulla, S, Mohamed, AF, Mtove, G, Reyburn, H, Gupta, S, Lourenço, J, Bejon, P and Snow, RW (2021). Replication Data for: Malaria hospitalisation in East Africa: age, phenotype and transmission intensity. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/CFYACQ

Stoner, MCD, Kilburn, K, Godfrey-faussett, P, Ghys, P and Pettifor, AE (2021). Supporting files for "Cash transfers for HIV prevention: A systematic review". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

Kadia, BM, Dimala, CA, Fongwen, NT and Smith, AD (2021). Additional file 1 of Barriers to and enablers of uptake of antiretroviral therapy in integrated HIV and tuberculosis treatment programmes in sub-Saharan Africa: a systematic review and meta-analysis. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.17030642.v1

Cleary, F, Nitsch, D and Prieto, D (2021). Raw data for a systematic review of statistical methodologies to evaluate progression of chronic kidney disease using electronic healthcare records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002628.

Keating, P, Murray, J, Schenkel, K, Merson, L and Seale, A (2021). Support files for: "Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002527.

Kabia, Evelyn, Goodman, C, Balabanova, D, Molyneux, S and Barasa, E (2021). The hidden financial burden of healthcare: a systematic literature review of informal payments in Sub-Saharan Africa. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/NMQCSF

Engl, M and Kerac, M (2021). Management of at-risk mothers and infants < 6 months in national and international SAM guidelines: AGREE scoring of guidelines and guideline content spreadsheet. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002534.

Flaherty, KE, Grembi, JA, Ramachandran, VV, Haque, F, Khatun, S, Rahman, M, Maples, S, Becker, TK, Spormann, AM, Schoolnik, GK, Hryckowian, AJ and Nelson, EJ (2021). High-throughput low-cost nl-qPCR for enteropathogen detection: A proof-of-concept among hospitalized patients in Bangladesh. S1 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0257708.s004

Richmond, RC, Sillero-Rejon, C, Khouja, JN, Prince, C, Board, A, Sharp, G, Suderman, M, Relton, CL, Munafò, M and Gage, SH (2021). Additional file 2 of Investigating the DNA methylation profile of e-cigarette use. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.16696498.v1

Koltai, M (2021). mbkoltai/covid_lmic_model: Model fitting excess mortality data in Mogadishu v1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5534762

Bottomley, C (2021). christian-bottomley/mixture_model_sarscov2. [Data Collection]. Github. https://github.com/christian-bottomley/mixture_model_sarscov2

Okpako, O, Herrick, C and Millington, J (2021). Database of non-communicable disease reports contributing to UN high-level meeting process (2000-2020). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5236439

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 Admissions. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/0NYGXE

Sera, F, Abbott, S and Roye, D (2021). fsera/COVIDWeather. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.5281/zenodo.5215841

Kazibwe, J, Tran, PB and Annerstedt, KS (2021). Additional file 1 of The household financial burden of non-communicable diseases in low- and middle-income countries: a systematic review. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14820890.v1

Gibbs, H, Waterlow, NR, Cheshire, J, Danon, L, Liu, Y, Grundy, C, Kucharski, AJ and Eggo, RM (2021). Population disruption: estimating changes in population distribution in the UK during the COVID-19 pandemic - Estimates for Local Authority Districts. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5013619

Berrang-Ford, L, Sietsma, AJ, Callaghan, M, Minx, J, Scheelbeek, P, Haddaway, N, Haines, A and Dangour, AD (2021). Dataset for article Berrang-Ford et al. "Systematic mapping of global research on climate and health using machine learning" The Lancet Planetary Health. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4972514

Castaneda-Guzman, M, Mantilla-Saltos, G, Murray, KA, Settlage, R and Escobar, LE (2021). Methods and Code. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13708642.v4

Samuels, THA, Shete, PB, Ojok, C, Nalugwa, T, Farr, K, Turyahabwe, S, Katamba, A, Cattamanchi, A and Moore, DAJ (2021). Where will it end? Pathways to care and catastrophic costs following negative TB evaluation in Uganda. Raw data for analysis. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0253927.s005

Bosse, N (2021). nikosbosse/mirmeth: Alpha version. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4968864

Leclerc, QJ (2021). qleclerc/COVID_bed_occupancy. [Data Collection]. Github. https://github.com/qleclerc/COVID_bed_occupancy

Gimma, A (2021). amygimma/comix_uk_summary_analysis. [Data Collection]. Github. https://github.com/amygimma/comix_uk_summary_analysis

Prem, K (2021). kieshaprem/nsum: Release of NSUM codes version 1.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4889457

Countdown to 2030 Health Financing Data Analysis Centre (2021). Aid for reproductive, maternal, newborn and child health: data generated using the Muskoka2 method, 2002-2019. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002272.

Anywaine, Z, Lule, SA, Hansen, C, Warimwe, G and Elliott, A (2021). Study investigating the clinical manifestations of Rift Valley fever in humans: Systematic review and meta-analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002178.

Bracher, J, Wolffram, D, Deuschel, J, Görgen, K, Ketterer, J, Ullrich, A, Abbott, S, Barbarossa, M, Bertsimas, D, Bhatia, S, Bodych, M, Bosse, NI, Burgard, J, Castro, L, Fairchild, G, Fuhrmann, J, Funk, S, Gogolewski, K, Gu, Q, Heyder, S, Hotz, T, Kheifetz, Y, Kirsten, H, Krueger, T, Krymova, E, Li, M, Meinke, J, Michaud, I, Niedzielewski, K, Ożański, T, Rakowski, F, Scholz, M, Soni, S, Srivastava, A, Zieliński, J, Zou, D, Gneiting, T and Schienle, M (2021). KITmetricslab/covid19-forecast-hub-de. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4439666

Parker, E (2021). vac-lshtm/VaC_tracker. [Data Collection]. Github. https://github.com/vac-lshtm/VaC_tracker

Colón-González, FJ, Soares Bastos, L, Hofmann, B, Hopkin, A, Harpham, Q, Crocker, T, Amato, R, Ferrario, I, Moschini, F, James, S, Malde, S, Ainscoe, E, Sinh Nam, V, Quang Tan, D, Duc Khoa, N, Harrison, M, Tsarouchi, G, Lumbroso, D, Brady, OJ and Lowe, R (2021). R code for the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4740093

Goncalves, B (2021). Data for: "Estimation of country-level incidence of early-onset invasive Group B Streptococcus disease in infants using Bayesian methods". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002118.

Gibbs, H (2021). cmmid/uk_movement_communities_covid. [Data Collection]. Github. https://github.com/cmmid/uk_movement_communities_covid

Pearson, CAB (2021). cmmid/covidTestVac. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4725814

Krauer, F and Schmid, BV (2021). Datasets and code for "Mapping the plague through natural language processing". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4724015

Marshall, O, Blaylock, R, Murphy, C and Sanders, J (2021). Risk messages relating to pregnancy and fertility: a media content analysis (dataset). [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14480784.v1

Lee, SA (2021). Data and R code to accompany 'Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions'. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4706865

Munday, JD, Jarvis, CI, Gimma, A, Wong, KL, van Zandvoort, K, Funk, S and Edmunds, WJ (2021). CoMix - Age structured contact matrices for 9 key periods of the COVID-19 epidemic in England. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4677018

Schultze, A, Hulme, W, Davy, S, Mackenna, B, Nightingale, E and Inglesby, P (2021). opensafely/carehomes-short-data-report. [Data Collection]. Zenodo. http://doi.org/10.5281/zenodo.4675682

Luque-Fernandez, MA (2021). migariane/Spanish_LifeTablesByDeprivation: Spanish Abridged Life Tables by Deprivation. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4662659

Mbivnjo, EL, Lynch, M and Huws, JC (2021). Supplementary material for the article, "Measles Outbreak Investigation Process in Low- and Middle-Income Countries: A Systematic Review of the Methods and Costs of Contact Tracing". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.14247431.v3

Alexander, N, Carabali, M and Lim, JK (2021). Data for: "Estimating force of infection from serologic surveys with imperfect tests". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002252.

Simpson, H, Tabah, EN, Phillips, RO, Frimpong, M, Maman, I, Ampadu, E, Timothy, J, Saunderson, P, Pullan, RL and Cano, J (2021). Total area predicted suitable and population living in suitable areas for Buruli ulcer, M. ulcerans, and both, by country in African continent. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0009157.s019

Simons, D, Shahab, L, Brown, J and Perski, O (2021). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 11) - Data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4002046

Munday, JD and Jarvis, CI (2021). jdmunday/CoMix_schools_reopening. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5172069

Adetifa, IMO, Uyoga, S, Gitonga, JN, Mugo, D, Otiende, M, Nyagwange, J, Karanja, HK, Tuju, J, Wanjiku, P, Aman, R, Mwangangi, M, Amoth, P, Kasera, K, Ng’ang’a, W, Rombo, C, 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, Bejon, P, Ochola-Oyier, LI, Agweyu, A, Scott, JAG and Warimwe, GM (2021). Replication Data for: Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/FQUNVD

Bascaran, C, Mwangi, N, D’Esposito, F, Cleland, C, Gordon, I, Ulloa, JAL, Maswadi, R, Mdala, S, Ramke, J, Evans, JR and Burton, MJ (2021). Additional file 3 of Effectiveness of interventions to increase uptake and completion of treatment for diabetic retinopathy in low- and middle-income countries: a rapid review protocol. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.13578790.v1

Palmer, J, Sherratt, K, Martin-Nielsen, R, Bevan, J, Gibbs, H, CMMID COVID-19 Working Group, Funk, S and Abbott, S (2021). covidregionaldata: Subnational data for COVID-19 epidemiology. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3957539

Gibbs, H, Jarvis, CI and Eggo, RM (2021). uk_tier_data. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4421648

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). Local Estimates of the Covid 19 Reproduction Number (R) for the United Kingdom Based on Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/ISLFJB

Besançon, L, Deforet, M, Leyrat, C, Segalas, C, Jiang, H and Masuzzo, P (2020). Open Science during the pandemic. [Data Collection]. OSF. https://osf.io/renxy/

Hellewell, J, Russell, TW, The SAFER Investigators and Field Study Team, The Crick COVID-19 Consortium, CMMID COVID-19 working group, Beale, R, Kelly, G, Houlihan, C, Nastouli, E and Kucharski, AJ (2020). cmmid/pcr-profile. [Data Collection]. Github. https://github.com/cmmid/pcr-profile

Page, AE, Emmott, EH and Myers, S (2020). Testing the buffering hypothesis: breastfeeding problems, cessation and social support. [Data Collection]. OSF. https://doi.org/10.17605/OSF.IO/74ERF

Akello, M, Coutinho, S, Mboowa, MGN, Bukirwa, V, Natukunda, A, Lubyayi, L, Nabakooza, G, Cose, S and Elliott, AM (2020). Internal monitoring within MUII-plus for research capacity development. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001938.

Scheelbeek, P (2020). Extended Data - UK’s fruit and vegetable supply increasingly dependent on imports from climate-vulnerable producing countries. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001852.

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National Reproduction Number (R) Based on Reported Cases. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/TTLQRN

Abbott, S, Bennett, C, Hickson, J, Allen, J, Sherratt, K and Funk, S (2020). National Reproduction Number (R) Estimates Based on Reported Deaths. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/RBZVJE

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 Test Results. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/S07EZB

Sherratt, K (2020). epiforecasts/rt-comparison-uk-public: v1.0.0. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4029074

Coletti, P, Wambua, J, Gimma, A, Willem, L, Vercruysse, S, Vanhoutte, B, Jarvis, CI, Van zandvoort, K, Edmunds, WJ, Beutels, P and Hens, N (2020). CoMix social contact data (Belgium). [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4035001

Vazquez-Montes, Maria D. L. A., Debray, TPA, Taylor, KS, Speich, B, Jones, N, Collins, GS, Hobbs, F. D. R. Richard, Magriplis, E, Maruri-Aguilar, H, Moons, KGM, Parissis, J, Perera, R, Roberts, N, Taylor, CJ, Kadoglou, NPE and Trivella, M (2020). Additional file 1 of UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12864833.v1

Walker, J, Grint, D, Strongman, H, Eggo, RM, Peppa, M, Minassian, C, Mansfield, KE, Rentsch, C, Douglas, IJ, Mathur, R, Wong, A, Quint, JK, Andrews, N, Lopez-bernal, J, Scott, A, Ramsay, M, Smeeth, L and McDonald, H (2020). UK prevalence of risk factors for severe COVID-19 disease, by age and region: point prevalence estimates in 2019 and 2014, using electronic health records. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001833.

Simons, D, Shahab, L, Brown, J and Perski, O (2020). The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 9) - Data. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12756020.v4

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). Evolution and epidemic spread of SARS-CoV-2 in Brazil. [Data Collection]. Science. https://doi.org/10.1126/science.abd2161

Russell, TW, Wu, JT, Clifford, S, CMMID COVID-19 working group, Edmunds, WJ, Kucharski, AJ and Jit, M (2020). thimotei/covid_travel_restrictions. [Data Collection]. Github. https://github.com/thimotei/covid_travel_restrictions

Leclerc, QJ, Fuller, NM, Knight, LE, Funk, S and Knight, GM (2020). COVID19 settings of transmission - collected reports database. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.12173343.v5

Davies, NG (2020). cmmid/covid-age. [Data Collection]. Github. https://github.com/cmmid/covid-age

Gibbs, H, CMMID nCov Working Group, Eggo, RM, Grundy, C and Kucharski, AJ (2020). UK Colocation Dashboard. [Data Collection]. Github. https://cmmid.github.io/colocation_dashboard_cmmid/

Abbott, S, Bosse, N, DeWitt, M, Rau, A, Chateigner, A, Mareschal, S and Hellewell, J (2020). epiforecasts/EpiSoon. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3746394

Abbott, S, Sherratt, K, Gibbs, H, Finger, F, Campbell, P, Hellewell, J, Barks, P, Meakin, S and Lee, H (2020). epiforecasts/NCoVUtils. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3635417

Leclerc, QJ, Nightingale, E and Abbott, S (2020). qleclerc/nhs_pathways_report. [Data Collection]. Github. https://github.com/qleclerc/nhs_pathways_report

Williamson, E, Walker, AJ, Bhaskaran, KJ, Bacon, S, Bates, C, Morton, CE, Curtis, HJ, Mehrkar, A, Evans, D, Inglesby, P, Cockburn, J, Mcdonald, HI, MacKenna, B, Tomlinson, L, Douglas, IJ, Rentsch, CT, Mathur, R, Wong, A, Grieve, R, Harrison, D, Forbes, H, Schultze, A, Croker, RT, Parry, J, Hester, F, Harper, S, Perera, R, Evans, S, Smeeth, L and Goldacre, B (2020). opensafely/risk-factors-research. [Data Collection]. Github. https://github.com/ebmdatalab/opensafely-risk-factors-research

Vaccine Centre (2020). COVID-19 vaccine development pipeline. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_vaccine_landscape/

Thomas, S (2020). COVID-19 risk group - Neurological disease codelist. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001704.

Endo, A, Abbott, S, Kucharski, AJ and Funk, S (2020). Extended data: Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3740348

Chase, R, Kerac, M, Grant, A, Manary, M, Briend, A, Opondo, C and Bailey, J (2020). Combined Protocol for Acute Malnutrition (ComPAS) Stage 1 dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001572.

Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ (2020). cmmid/covid-uk. [Data Collection]. Github. https://github.com/cmmid/covid-uk

Thindwa, D, Oxford Vaccine Group and Mujadidi, YF (2020). deusthindwa/Electronic-Data-Capture-for-Large-Scale-Typhoid-Surveillance---STRATAA: edc. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3736224

Abbott, S, Gaythorpe, KA, Imai, N and Liu, Y (2020). seabbs/CovidInterventionReview: CC0 license. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3728162

Russell, TW, Hellewell, J, Jarvis, CI, Van-Zandvoort, K, Abbott, S, Ratnayake, R, Flasche, S, Eggo, RM and Kucharski, AJ (2020). Estimating the infection and case fatality ratio for COVID-19 using age-adjusted data from the outbreak on the Diamond Princess cruise ship. [Data Collection]. Github. https://github.com/thimotei/cCFRDiamondPrincess

Dingle, A, Schaeferhoff, M, Borghi, J, Lewis Sabin, M, Arregoces, L, Martinez-alvarez, M and Pitt, C (2020). Aid for reproductive, maternal, newborn and child health: data and analysis from application of the Muskoka2 method, 2002-2017. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001526.

Russell, TW, Hellewell, J, Abbott, S, Jarvis, C, Zandvoort, Kv, Ratnayake, R, CMMID nCov working group, Flasche, S, Eggo, RM, Edmunds, WJ and Kucharski, AJ (2020). thimotei/CFR_calculation. [Data Collection]. Github. https://github.com/thimotei/CFR_calculation

Liu, Y, Funk, S and Flasche, S (2020). yangclaraliu/2019nCoV_proportion_asym: WOR Submission. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3709941

Hellewell, J, Abbott, S, Gimma, A, Bosse, N, Jarvis, C, Russell, T, Munday, J, Kucharski, A, Edmunds, WJ, Funk, S, Eggo, R, Sun, F, Flasche, S, Quilty, B, Davies, N, Liu, Y, Clifford, S, Klepac, P, Jit, M, Diamond, C, Gibbs, H and Van Zandvoort, K (2020). Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. [Data Collection]. Github. https://github.com/cmmid/ringbp/

Klepac, P, Kucharski, AJ, Conlan, AJ, Kissler, S, Tang, M, Fry, H and Gog, JR (2020). Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. [Data Collection]. Medrxiv. https://doi.org/10.1101/2020.02.16.20023754

Abuga, KM, Rockett, KA, Muriuki, JM, Koch, O, Nairz, M, Sirugo, G, Bejon, P, Kwiatkowski, DP, Prentice, AM and Atkinson, SH (2020). Replication Data for: Interferon-gamma polymorphisms and risk of iron deficiency and anaemia in Gambian children. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/2NKJID

Parker, E (2020). Covid 2019 tracker. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://vac-lshtm.shinyapps.io/ncov_tracker/

Carvalho, MS, Freitas, LP, Cruz, OG, Brasil, P and Bastos, LS (2020). Dengue and microcephaly cases in Brazil used in Carvalho et al. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3489427

Phelan, J and Deelder, W (2020). COVID-Profiler. [Data Collection]. Github. https://github.com/jodyphelan/covid-profiler

Walker, D (2019). Charity Open Access Fund (COAF) expenditure report 2018-19. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.10303616

Gurdasani, D, Carstensen, T, Fatumo, S, Chen, G, Franklin, CS, Prado-Martinez, J, Bouman, H, Abascal, F, Haber, M, Tachmazidou, I, Mathieson, I, Ekoru, K, DeGorter, MK, Nsubuga, RN, Finan, C, Wheeler, E, Chen, L, Cooper, DN, Schiffels, S, Chen, Y, Ritchie, GR, Pollard, MO, Fortune, MD, Mentzer, AJ, Garrison, E, Bergström, A, Hatzikotoulas, K, Adeyemo, A, Doumatey, A, Elding, H, Wain, LV, Ehret, G, Auer, PL, Kooperberg, CL, Reiner, AP, Franceschini, N, Maher, DP, Montgomery, SB, Kadie, C, Widmer, C, Xue, Y, Seeley, J, Asiki, G, Kamali, A, Young, EH, Pomilla, C, Soranzo, N, Zeggini, E, Pirie, F, Morris, AP, Heckerman, D, Tyler-Smith, C, Motala, A, Rotimi, C, Kaleebu, P, Barroso, I and Sandhu, MS (2019). Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa. [Data Collection]. Cell. https://doi.org/10.1016/j.cell.2019.10.004

Leclerc, QJ, Naylor, NR, Aiken, AM, Coll, F and Knight, GM (2019). AR.IA App all datasets. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.9821996.v1

Bretscher, MT, Dahal, P, Griffin, JT, Stepniewska, K, Bassat, Q, Baudin, E, D'Alessandro, U, Djimde, AA, Dorsey, G, Espie, E, Fofana, B, Gonzalez, R, Juma, E, Karema, C, Lasry, E, Lell, B, Lima, N, Menendez, C, Mombo-Ngoma, G, Moreira, C, Nikiema, F, Ouedraogo, JB, Staedke, SG, Tinto, H, Valea, I, Yeka, A, Ghani, AC, Guerin, PJ and Okell, LC (2019). A pooled analysis of the duration of chemoprophylaxis against malaria after treatment with artesunate-amodiaquine and artemether-lumefantrine: data & analysis output. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.3339214

Leclerc, QJ, Lindsay, JA and Knight, GM (2019). Summary table of the elements recorded in the 43 studies included in our review from Mathematical modelling to study the horizontal transfer of antimicrobial resistance genes in bacteria: current state of the field and recommendations. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8850671.v1

Mistry, M (2019). A high-resolution (0.25 degree) historical global gridded dataset of monthly and annual cooling and heating degree-days (1970-2018) based on GLDAS data. [Data Collection]. PANGAEA. https://doi.org/10.1594/PANGAEA.903123

Walker, D (2019). LSHTM RCUK Open Access Block Grant Compliance Report 2018-19. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.6084/m9.figshare.8089397

Blencowe, H, Krasevec, J, de Onis, M, Black, RE, An, X, Stevens, GA, Borghi, E, Hayashi, C, Estevez, D, Cegolon, L, Shiekh, S, Ponce Hardy, V, Lawn, JE and Cousens, S (2019). Supporting information for National, regional, and worldwide estimates of low birthweight rates in 2015, with trends from 2000: a systematic analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001090.

Lee, AH, Shannon, CP, Amenyogbe, N, Bennike, TB, Diray-Arce, J, Idoko, OT, Gill, EE, Ben-Othman, R, Pomat, WS, van Haren, SD, Cao, KL, Cox, M, Darboe, A, Falsafi, R, Ferrari, D, Harbeson, DJ, He, D, Bing, C, Hinshaw, SJ, Ndure, J, Njie-jobe, J, Pettengill, MA, Richmond, PC, Ford, R, Saleu, G, Masiria, G, Matlam, JP, Kirarock, W, Roberts, EHW, Malek, M, Sanchez-Schmitz, G, Singh, A, Angelidou, A, Smolen, KK, Brinkman, RR, Ozonoff, A, Hancock, REW, van den Biggelaar, AHJ, Steen, H, Tebbutt, SJ, Kampmann, B, Levy, O and Kollmann, TR (2019). Dynamic molecular changes during the first week of human life follow a robust developmental trajectory. [Data Collection]. Nature Communications. https://doi.org/10.1038/s41467-019-08794-x

Moyes, CL, Wiebe, A, Gleave, K, Trett, A, Hancock, PA, Padonou, GG, Chouaïbou, MS, Sovi, A, Abuelmaali, SA, Ochomo, E, Antonio-Nkondjio, C, Dengela, D, Kawada, H, Dabire, RK, Donnelly, MJ, Mbogo, C, Fornadel, C and Coleman, M (2019). Data from: Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.dn4676s

Scholz, SM, Damm, O, Elkenkamp, S, Marcus, U, Greiner, W and Schmidt, AJ (2019). Dataset containing the collected data from PlanetRomeo. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0212175.s001

Maitland, K, Ohuma, EO, Mpoya, A, Uyoga, S, Hassall, O and Williams, TN (2019). Admission records, including haemoglobin measurements, for 29,226 children admitted to a paediatric ward in a rural Kenyan hospital for the period 2002-2009. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7635908.v1

Opoka, RO, Ssemata, AS, Oyang, W, Nambuya, H, John, CC, Karamagi, C and Tumwine, JK (2019). Adherence to clinical guidelines is associated with reduced inpatient mortality among children with severe anemia in Ugandan hospitals. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0210982.s001

Carrillo-Larco, RM and Bernabe-ortiz, A (2018). Raw data for: "A divergence between underlying and final causes of death in selected conditions: an analysis of death registries in Peru". [Data Collection]. PeerJ. https://doi.org/10.7717/peerj.5948/supp-2

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2017-18. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7280360.v2

Bah, SY, Forster, T, Dickinson, P, Kampmann, B and Ghazal, P (2018). Table 1 for "Meta-Analysis Identification of Highly Robust and Differential Immune-Metabolic Signatures of Systemic Host Response to Acute and Latent Tuberculosis in Children and Adults". [Data Collection]. Frontiers in Genetics. https://doi.org/10.3389/fgene.2018.00457.s002

Chapman, LAC, Jewell, CP, Spencer, SEF, Pellis, L, Datta, S, Chowdhury, R, Bern, C, Medley, GF and Hollingsworth, TD (2018). The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0006453

Bobrovitz, N, Heneghan, C, Onakpoya, I, Fletcher, B, Collins, D, Tompson, A, Lee, J, Nunan, D, Fisher, R, Scott, B, O’Sullivan, J, Van Hecke, O, Nicholson, BD, Stevens, S, Roberts, N and Mahtani, KR (2018). Additional file 2: of Medications that reduce emergency hospital admissions: an overview of systematic reviews and prioritisation of treatments. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6864524.v1

Walker, D (2018). LSHTM - RCUK Article Processing Charge (APC) compliance and financial report 2017-18. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.6084/m9.figshare.6445559.v1

Mysiak, J, Torresan, S, Bosello, F, Mistry, M, Amadio, M, Marzi, S, Furlan, E and Sperotto, A (2018). Supplementary material from "Climate risk index for Italy". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.4052396.v2

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2013-14. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5943181

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Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2015-16. [Data Collection]. Figshare, London, United Kingdom. https://doi.org/10.6084/m9.figshare.4253156.v4

Walker, D (2018). Charity Open Access Fund (COAF) expenditure report 2016-17. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5943169

Garcia-Larsen, V, Ierodiakonou, D, Jarrold, K, Cunha, S, Chivinge, J, Robinson, Z, Geoghegan, N, Ruparelia, A, Devani, P, Trivella, MH, Leonardi-Bee, J and Boyle, RJ (2018). Diet during pregnancy and infancy and risk of allergic or autoimmune disease: A systematic review and meta-analysis. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002507.s008

Morris, TP, Fisher, DJ, Kenward, MG and Carpenter, JR (2018). Dataset for: Meta-analysis of quantitative individual patient data: two stage or not two stage? [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5662267.v1

Weiss, DJ, Nelson, A, Gibson, HS, Temperley, W, Peedell, S, Lieber, A, Hancher, M, Poyart, E, Belchior, S, Fullman, N, Mappin, B, Dalrymple, U, Rozier, J, Lucas, TCD, Howes, RE, Tusting, LS, Kang, SY, Cameron, E, Bisanzio, D, Battle, KE, Bhatt, S and Gething, PW (2018). A global map of travel time to cities to assess inequalities in accessibility in 2015. [Data Collection]. Nature. https://doi.org/10.1038/nature25181

Lopez-Bernal, J, Lu, CY, Gasparrini, A, Cummins, S, Wharham, JF and Soumerai, SB (2017). Association between the 2012 Health and Social Care Act and specialist visits and hospitalisations in England: A controlled interrupted time series analysis. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002427

Dennis, M, Radovich, E, Wong, K, Owolabi, O, Cavallaro, F, Mbizvo, MT, Binagwaho, A, Waiswa, P, Lynch, C and Benova, L (2017). Pathways to increased coverage: an analysis of time trends in contraceptive need and use among adolescents and young women in Kenya, Rwanda, Tanzania, and Uganda. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3907207

Tang, W, Chen, W, Amini, A, Boeras, D, Falconer, J, Kelly, H, Peeling, R, Varsaneux, O, Tucker, JD and Easterbrook, P (2017). Diagnostic accuracy of tests to detect Hepatitis C antibody: a meta-analysis and review of the literature. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3919648.v1

Liverani, M (2017). International health cooperation in the Greater Mekong Subregion. [Data Collection]. UK Data Archive, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-852820

Blencowe, H (2017). Global and regional prevalence of neural tube defects estimates in 2015: Data sources, methods and results. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.264.

Howard, N, Guinness, L and Rowland, M (2017). Economic data for the Afghan refugee malaria control programme in Pakistan 1990-1995. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.260.

Seale, AC, Bianchi-jassir, F, Russell, N, Kohli-lynch, M, Tann, C, Hall, J, Madrid, L, Blencowe, H, Cousens, S, Baker, C, Bartlett, L, Cutland, C, Gravett, M, Heath, P, Ip, M, Le Doare, K, Madhi, S, Rubens, CE, Saha, S, Schrag, S, Sobanjo-ter Meulen, A, Vekemans, J and Lawn, JE (2017). Data for: "Estimates of the Burden of Group B Streptococcal Disease Worldwide for Pregnant Women, Stillbirths, and Children". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.51.

McTavish, JR, Kimber, M, Devries, K, Colombini, M, MacGregor, JCD, Wathen, CN, Agarwal, A and MacMillan, HL (2017). Data from: Mandated reporters’ experiences with reporting child maltreatment: a meta-synthesis of qualitative studies. [Data Collection]. Dryad Digital Repository. https://doi.org/10.5061/dryad.6d159

Gibson, A (2017). LSHTM - RCUK Article Processing Charge (APC) compliance and financial report 2016-17. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5035934.v3.

Maringe, C, Fowler, H, Rachet, B and Fernandez, MAL (2017). Reproducibility, reliability and validity of population-based administrative health data for the assessment of cancer non-related comorbidities. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0172814.s001

Castro Lopes, S, Guerra-Arias, M, Buchan, J, Pozo-Martin, F and Nove, A (2017). A rapid review of the rate of attrition from the health workforce. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3706795

Spika, D, Bannon, F, Bonaventure, A, Woods, LM, Harewood, R, Carreira, H, Coleman, MP and Allemani, C (2017). Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3704431.

Bower, H and Glynn, J (2017). Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection. [Data Collection]. Dryad Digital Repository. https://doi.org/10.5061/dryad.gn95r.2.

Knight, G (2017). LSHTM Data Compass Statistics Report - 2016. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.132.

Kazungu, JS and Adetifa, I (2017). Replication Data for: Crude childhood vaccination coverage in West Africa: trends and predictors of completeness. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. http://dx.doi.org/10.7910/DVN/YQYES9

Gargiulo, F, Bindi, J and Apolloni, A (2016). Data from: The topology of a discussion: the #occupy case. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.q1h04

Rees, CP, Hawkesworth, S, Moore, SE, Dondeh, BL and Unger, SA (2016). Clinic Attendance Data for: "Factors Affecting Access to Healthcare: An Observational Study of Children under 5 Years of Age Presenting to a Rural Gambian Primary Healthcare Centre". [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0157790.s018

Karat, A, Tlali, M, Fielding, K, Charalambous, S, Chihota, VN, Churchyard, GJ, Hanifa, Y, Johnson, S, McCarthy, K, Martinson, NA, Omar, T, Kahn, K, Chandramohan, D and Grant, AD (2016). Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: comparing verbal autopsy, minimally-invasive autopsy, and research data. Data from the Lesedi Kamoso study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.169.

Seymour, J and Gorsky, M (2016). Health and welfare spending, health indicators and election data for London's Metropolitan Boroughs, 1922-37. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.103.

Knight, G (2016). LSHTM Data Compass Statistics Report - 2015. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.81.

Petridis, C, Brook, MN, Shah, V, Kohut, K, Gorman, P, Caneppele, M, Levi, D, Papouli, E, Orr, N, Cox, A, Cross, SS, Dos santos silva, I, Peto, J, Swerdlow, A, Schoemaker, MJ, Bolla, MK, Wang, Q, Dennis, J, Michailidou, K, Benitez, J, González-Neira, A, Tessier, DC, Vincent, D, Li, J, Figueroa, J, Kristensen, V, Borresen-Dale, A, Soucy, P, Simard, J, Milne, RL, Giles, GG, Margolin, S, Lindblom, A, Brüning, T, Brauch, H, Southey, MC, Hopper, JL, Dörk, T, Bogdanova, NV, Kabisch, M, Hamann, U, Schmutzler, RK, Meindl, A, Brenner, H, Arndt, V, Winqvist, R, Pylkäs, K, Fasching, PA, Beckmann, MW, Lubinski, J, Jakubowska, A, Mulligan, AM, Andrulis, IL, Tollenaar, Rob A. E. M., Devilee, P, Le Marchand, L, Haiman, CA, Mannermaa, A, Kosma, V, Radice, P, Peterlongo, P, Marme, F, Burwinkel, B, van Deurzen, CHM, Hollestelle, A, Miller, N, Kerin, MJ, Lambrechts, D, Floris, G, Wesseling, J, Flyger, H, Bojesen, SE, Yao, S, Ambrosone, CB, Chenevix-Trench, G, Truong, T, Guénel, P, Rudolph, A, Chang-Claude, J, Nevanlinna, H, Blomqvist, C, Czene, K, Brand, JS, Olson, JE, Couch, FJ, Dunning, AM, Hall, P, Easton, DF, Pharoah, PDP, Pinder, SE, Schmidt, MK, Tomlinson, I, Roylance, R, García-Closas, M and Sawyer, EJ (2016). Genetic predisposition to ductal carcinoma in situ of the breast. [Data Collection]. Breast Cancer Research. https://doi.org/10.1186/s13058-016-0675-7.

Wu, L, van den Hoogen, LL, Slater, H, Walker, PGT, Ghani, AC, Drakeley, CJ and Okell, LC (2015). Comparison of diagnostics for the detection of asymptomatic Plasmodium falciparum infections to inform control and elimination strategies. [Data Collection]. Nature. https://doi.org/10.1136/jech-2018-211746

Brauer, R, Bhaskaran, K, Chaturvedi, N, Dexter, DT, Smeeth, L and Douglas, I (2015). Glitazone Treatment and Incidence of Parkinson’s Disease among People with Diabetes: A Retrospective Cohort Study. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001854.s002 https://doi.org/10.1371/journal.pmed.1001854

Ortega, J, Moraga-serrano, P, Nikolay, B, Rebollo, M, Okorie, P, Davies, E, Bockarie, M and Brooker, S (2015). An investigation of the disparity in estimates of microfilaraemia and antigenaemia in lymphatic filariasis surveys. [Data Collection]. Transactions of the Royal Society of Tropical Medicine and Hygiene. https://doi.org/10.1093/trstmh/trv048

Mylne, A, Brady, OJ, Huang, Z, Pigott, DM, Golding, N, Kraemer, MU and Hay, SI (2014). A comprehensive database of the geographic spread of past human Ebola outbreaks. [Data Collection]. Figshare. https://dx.doi.org/10.6084/m9.figshare.1168886

Priego, E, Lewandowski, T, Atenas, J, Atenas, J, Galina, I, Levin, J, Murtagh, J, Brun, L, Whitton, M, de Castro, P, Molloy, S, Petersen, S and Gutierrez, S (2014). Articles with Ebola mentioned online anytime as tracked by Altmetric, with crowdsourced type of access and license. [Data Collection]. City, University of London. https://doi.org/10.6084/m9.figshare.1137162.v5

Le Polain, O, Flasche, S, Prieto, D and Edmunds, J (2014). Age-Dependent Prevalence of Nasopharyngeal Carriage of Streptococcus pneumoniae before Conjugate Vaccine Introduction: Supporting Information. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.72.

Gallacher, K, Morrison, D, Jani, B, Macdonald, S, May, CR, Montori, VM, Erwin, PJ, Batty, GD, Eton, DT, Langhorne, P and Mair, FS (2013). Uncovering Treatment Burden as a Key Concept for Stroke Care: A Systematic Review of Qualitative Research. [Data Collection]. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1001473.s005