B

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.

F

Foster, N, Nguyen, HV, Nguyen, NV, Nguyen, HB, Cobelens, F, Tiemersma, EW, Quaife, M and Houben, R (2022). Viet Nam tuberculosis prevalence survey: equity analysis code. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002373.

G

Grant, AD and Kielmann, K (2022). Qualitative and Quantitative Data for Tuberculosis Infection Prevention and Control in KwaZulu-Natal and Western Cape, South Africa, 2018-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-854435

Grant, A and Kielmann, K (2022). Qualitative and quantitative data for tuberculosis Infection prevention and control in South Africa (KwaZulu-Natal and Western Cape). [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom, South Africa. https://doi.org/10.17037/DATA.00002919.

M

McCreesh, N, Middelkoop, K and Mohlamonyane, M (2022). Cape Town social contact data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002756.

McQuaid, CF, Henrion, MYR, Burke, RM, MacPherson, P, Nzawa-Soko, R and Horton, KC (2022). Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.21550982.v1

S

Sumner, T (2022). tomsumner/Variance_SA_TB. [Data Collection]. GitHub. https://github.com/tomsumner/Variance_SA_TB

W

Weerasuriya, CK (2022). weerasuriya/tbconvax-pcb. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.5902656