Data Collection

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.

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.

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

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

O’Hara, G, Mokaya, J, Hau, J, Downs, L, Karabarinde, A, Asiki, G, McNaughton, A, Seeley, J, Matthews, P and Newton, R (2021). Liver function tests and fibrosis scores in a rural population in Africa. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.8292194.v3

Pullan, RL, Halliday, K, Oswald, W, Mcharo, C, Beaumont, E, Kepha, S, Witek-McManus, S, Gichuki, PM, Allen, E, Drake, T, Pitt, C, Matendechero, S, Gwayi-Chore, MC, Anderson, RM, Njenga, SM, Brooker, S and Mwandawiro, CS (2019). Household and Parasitology Surveys, Kwale County, Kenya, 2015-2017. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001305.

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.