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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

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

Koech, A, Omuse, G, Mugo, A, Mwaniki, I, Mutunga, J, Mukhanya, M, Wanje, O, Mwashigadi, G, Katana, G, Craik, R, Von Dadelszen, P, Le Doare, K, Temmermen, M and The PRECISE Network (2024). SARS-CoV-2 Seroprevalence in Kenya dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003755.

Emery, JC, Dodd, PJ, Banu, S, Frascella, B, Garden, FL, Horton, KC, Hossain, S, Law, I, van Leth, F, Marks, GB, Nguyen, HB, Nguyen, HV, Onozaki, I, Quelapio, MID, Richards, AS, Shaikh, N, Tiemersma, EW, White, RG, Zaman, K, Cobelens, F and Houben, RM (2023). epidemery/subclinical_transmission. [Data Collection]. GitHub. https://github.com/epidemery/subclinical_transmission

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

Tang, FF, Kosana, P, Jit, M, Terris-Prestholt, F, Wu, D, Ong, JJ and Tucker, JD (2023). PIF influenza participant questionnaire responses and donation amounts dataset. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001590.s003

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between DREAMS and experiences of violence among AGYW followed up in 2019 by site and age group using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s005

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and any experience of violence among AGYW in Gem using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s007

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and any experience of violence among AGYW in Nairobi using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s006

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and any experience of violence among AGYW in uMkhanyakude using conventional logistic regression. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s008

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and emotional violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s013

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and emotional violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s012

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and emotional violence among AGYW in uMkhanyakude using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s014

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and physical violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s010

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and physical violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s009

Wambiya, EOA, Gourlay, A, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and physical violence among AGYW in uMkhanyakude using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s011

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and sexual violence among AGYW in Gem using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s016

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and sexual violence among AGYW in Nairobi using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s015

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Association between invitation to DREAMS and sexual violence among AGYW in uMkhanyakude using conventional logistic regression, 13–22 year-olds. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s017

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Characteristics of DREAMS beneficiaries and non-beneficiaries at time of cohort enrolment by invitation to DREAMS in Nairobi, Gem and uMkhanyakude. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s004

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Proportions of AGYW retained in the study vs lost to follow up by 2019, by AGYW characteristics in Gem. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s002

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Proportions of AGYW retained in the study vs lost to follow up by 2019, by AGYW characteristics in Nairobi. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s001

Wambiya, EOA, Gourlay, A, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Proportions of AGYW retained in the study vs lost to follow up by 2019, by AGYW characteristics in uMkhanyakude. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s003

Wambiya, EOA, Gourlay, AJ, Mulwa, S, Magut, F, Mthiyane, N, Orindi, B, Chimbindi, N, Kwaro, D, Shahmanesh, M, Floyd, S, Birdthistle, I and Ziraba, A (2023). Sensitivity analyses on the effect of DREAMS on experiences of violence among AGYW. [Data Collection]. PLOS Global Public Health. https://doi.org/10.1371/journal.pgph.0001818.s018

Mweemba, A, Kelly, P, Heimburger, DC, Mutale, W, Nzala, S, Wester, WC, Banda, J, Mulenga, LB, Siwingwa, M and Todd, J (2023). Effect of anti-retroviral regimen on proximal tubular function in Zambian adolescents and young adults living with HIV. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22044047.v1

Carvalho-Pereira, T, Eyre, MT, Zeppelini, CG, Espirito Santo, VF, Santiago, DC, Santana, R, Palma, F, Reis, M, Lustosa, R, Khalil, H, Diggle, PJ, Giorgi, E, Costa, F and Begon, M (2022). Dataset used in the assessment of the article "Basic urban services fail to neutralise environmental determinants of 'rattiness', a composite metric of rat abundance". [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5920038

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

Bousema, T, Meibalan, E, Barry, A, Gibbins, M, Awandu, S, Meerstein-Kessel, L, Achar, F, Bopp, S, Moxon, C, Diarra, A, Debe, S, Ouedraogo, N, Barry-Some, I, Badoum, E, Fagnima, T, Lanke, K, Goncalves, B, Bradley, J, Wirth, D, Drakeley, C, Guelbeogo, W, Tiono, A, Marti, M, Gibbins, MP, Achcar, F, Ouédraogo, N, Badoum, ES, Fagnima, T, Gonçalves, BP, Guelbeogo, WM and Tiono, AB (2021). Plasmodium falciparum gametocyte density and infectivity in peripheral blood and skin tissue of naturally infected parasite carriers in Burkina Faso. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.g1jwstqmk

Hiemstra, TF, Smith, JC, Lim, K, Xu, D, Kulkarni, S, Bradley, JA, Paapstel, K, Schoenmakers, I, Bradley, JR, Tomlinson, L, McEniery, CM and Wilkinson, IB (2020). Effect of kidney donation on bone mineral metabolism. [Data Collection]. Plos One. https://doi.org/10.1371/journal.pone.0235082

McCartney, D, Min, J, Richmond, R, Lu, A, Sobczyk, M, Davies, G, Broer, L, Guo, X, Jeong, A, Jung, J, Kasela, S, Katrinli, S, Kuo, P, Matias-Garcia, P, Mishra, P, Nygaard, M, Palviainen, T, Patki, A, Raffield, L, Ratliff, S, Richardson, T, Robinson, O, Sorensen, M, Sun, D, Tsai, P, van der Zee, M, Wang, X, Wang, Y, Xia, R, Xu, Z, Yao, J, Zhao, W, Deary, I, Relton, CL, Horvath, S and Marioni, R (2020). Genome-wide association studies identify 137 loci for DNA methylation biomarkers of aging. [Data Collection]. University of Edinburgh, Edinburgh, Scotland.

Limbada, M, Shibwela, O, Macleod, D and Ayles, H (2020). Data for: Acceptability and Preferences of two different Community Models of ART delivery in a high prevalence Urban Setting in Zambia, nested within the HPTN 071 (PopART) trial. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001657.

Pearson, C, Abbas, KM, Clifford, S, Flasche, S and Hladish, TJ (2019). denvax: Simple Dengue Test and Vaccinate Cost Thresholds. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/web/packages/denvax/index.html

Gourlay, A, Birdthistle, I, Mthiyane, NT, Orindi, BO, Muuo, S, Kwaro, D, Shahmanesh, M, Baisley, K, Ziraba, A and Floyd, S (2019). Awareness and uptake of layered HIV prevention programming for young women: analysis of population-based surveys in three DREAMS settings in Kenya and South Africa. [Data Collection]. BMC Public Health. https://doi.org/10.1186/s12889-019-7766-1

Dorman, MJ, Domman, D, Uddin, MI, Sharmin, S, Hassan Afrad, M, Begum, YA, Qadri, F and Thomson, NR (2019). Supporting data for 'High quality reference genomes for toxigenic and non-toxigenic Vibrio cholerae serogroup O139'. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.6480266.v1

Sallum, MAM, Conn, JE, Bergo, ES, Laporta, GZ, Chaves, LS, Bickersmith, SA, de Oliveira, TM, Figueira, EAG, Moresco, G, Lêuda, O, Struchiner, CJ, Yakob, L and Massad, E (2019). Vector competence, vectorial capacity of Nyssorhynchus darlingi and the basic reproduction number of Plasmodium vivax in agricultural settlements in the Amazonian Region of Brazil. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.7956500.v1

Yotebieng, M, Price, JT, Chi, BH, Phiri, WM, Ayles, H, Chintu, N, Chilengi, R, Stringer, JSA and Mutale, W (2018). S1 Dataset for "Associations between health systems capacity and mother-to-child HIV prevention program outcomes in Zambia". [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0202889.s001

Abbas, KM, Kang, GJ, Chen, D, Werre, SR and Marathe, A (2018). Repository for manuscript: "Demographics, perceptions, and socio-economic factors affecting influenza vaccination among adults in the United States". [Data Collection]. Github. https://github.com/gloriakang/influenza-vaccination-adults

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

Masala, G, Lipsitch, M, Bottomley, C and Flasche, S (2017). Supplementary material from "Exploring the role of competition induced by non-vaccine serotypes for herd protection following pneumococcal vaccination". [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3911881.v1

Rossell, D and Rubio, FJ (2017). Tractable Bayesian variable selection: beyond normality. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.5410747.v1

Hanron, AE, Billman, ZP, Seilie, AM, Olsen, TM, Fishbaugher, M, Chang, M, Rueckle, T, Andenmatten, N, Greenhouse, B, Arinaitwe, E, Rek, J, Das, S, Domingo, GJ, Shipman, K, Kappe, SH, Kublin, JG and Murphy, SC (2017). Multiplex, DNase-free one-step reverse transcription PCR for Plasmodium 18S rRNA and spliced gametocyte-specific mRNAs. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3784184

Haque, F, Ball, RL, Khatun, S, Ahmed, M, Kache, S, Chisti, MJ, Sarker, SA, Maples, SD, Pieri, D, Korrapati, TV, Sarnquist, C, Federspiel, N, Rahman, MW, Andrews, JR, Rahman, M and Nelson, EJ (2017). Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0005290.s003

Chen, F, Wang, S, Jiang, X, Ding, S, Lu, Y, Kim, J, Sahinalp, SC, Shimizu, C, Burns, JC, Wright, VJ, Png, E, Hibberd, ML, Lloyd, DD, Yang, H, Telenti, A, Bloss, CS, Fox, D, Lauter, K and Ohno-Machado, L (2016). PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. [Data Collection]. Bioinformatics. https://doi.org/10.1093/bioinformatics/btw758

Li, M, Taylor, EG, Atkins, KE, Chapman, GB and Galvani, AP (2016). Stimulating Influenza Vaccination via Prosocial Motives. S3 Dataset. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0159780.s006

Shen, H, Tang, S, Mahapatra, T, Tucker, JD, Huang, S, Yang, B, Zhao, J, Detels, R and Tang, W (2016). Condomless Vaginal Intercourse and Its Associates among Men Who Have Sex with Men in China. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0154132.s001

Tusting, LS, Rek, J, Arinaitwe, E, Staedke, SG, Kamya, MR, Cano, J, Bottomley, C, Johnston, D, Dorsey, G, Lindsay, SW and Lines, J (2016). Additional file 4: of Why is malaria associated with poverty? Findings from a cohort study in rural Uganda. [Data Collection]. Figshare. http://doi.org/10.6084/m9.figshare.c.3641432_D2.v1

Lazo-Porras, M, Bernabe-ortiz, A, Málaga, G, Gilman, RH, Acuña-Villaorduña, A, Cardenas-Montero, D, Smeeth, L and Miranda, JJ (2015). Low HDL cholesterol as a cardiovascular risk factor in rural, urban, and rural-urban migrants: PERU MIGRANT cohort study. [Data Collection]. Atherosclerosis. https://doi.org/10.1016/j.atherosclerosis.2015.12.039

Kucharski, A, Conlan, AJK and Eames, K (2015). School's Out: Seasonal Variation in the Movement Patterns of School Children. S1 Dataset. Reported individual travel patterns. [Data Collection]. Figshare. https://doi.org/10.1371/journal.pone.0128070.s004

Lule, SA, Mawa, P, Nkurunungi, G, Nampijja, M, Kizito, D, Akello, F, Muhangi, L, Elliott, A and Webb, EL (2014). Factors associated with tuberculosis infection, and with anti-mycobacterial immune responses, among five year olds BCG-immunised at birth in Entebbe, Uganda. [Data Collection]. Vaccine. https://doi.org/10.1016/j.vaccine.2014.12.015.

Bott, S, Neuman, M, Helleringer, S, Desclaux, A, Asmar, KE, Obermeyer, CM and MATCH Study Group (2014). Rewards and challenges of providing HIV testing and counselling services: health worker perspectives from Burkina Faso, Kenya and Uganda. [Data Collection]. Health policy and planning. https://doi.org/10.1093/heapol/czu100

Gourlay, A, Wringe, A, Birdthistle, I, Mshana, G, Michael, D and Urassa, M (2014). "It Is Like That, We Didn't Understand Each Other": Exploring the Influence of Patient-Provider Interactions on Prevention of Mother-To-Child Transmission of HIV Service Use in Rural Tanzania (qualitative data). [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.37.

Gómez-Olivé, FX, Thorogood, M, Bocquier, P, Mee, P, Kahn, K, Berkman, L and Tollman, S (2014). Social conditions and disability related to the mortality of older people in rural South Africa: Supplementary Data. [Data Collection]. Oxford University Press. https://doi.org/10.1093/ije/dyu093

Athrey, G, Hodges, TK, Reddy, MR, Overgaard, H, Matias, A, Ridl, FC, Kleinschmidt, I, Caccone, A and Slotman, MA (2013). Data from: Effective population size of malaria mosquitoes: large impact of vector control. [Data Collection]. Dryad. https://doi.org/10.5061/dryad.1rf75

Bowyer, P, Simon, GM, Cravatt, BF and Bogyo, M (2010). Global Profiling of Proteolysis during Rupture of Plasmodium falciparum from the Host Erythrocyte. [Data Collection]. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.M110.001636