Published July 31, 2024 | Version New public data
Dataset Open

Population size, HIV prevalence, and antiretroviral therapy coverage among key populations in sub-Saharan Africa: collation and synthesis of survey data 2010-2023

  • 1. ROR icon Imperial College London
  • 1. ROR icon Joint United Nations Programme on HIV/AIDS
  • 2. ROR icon Johns Hopkins University
  • 3. US Centers for Disease Control and Prevention (CDC)
  • 4. ROR icon University College London
  • 5. ROR icon Imperial College London
  • 6. ROR icon Liverpool School of Tropical Medicine
  • 7. ROR icon Centre for Sexual Health and HIV AIDS Research
  • 8. ROR icon UNSW Sydney
  • 9. ROR icon McGill University
  • 10. ROR icon Global Fund to Fight AIDS, Tuberculosis and Malaria
  • 11. Mozambique Ministry of Health
  • 12. ROR icon Stellenbosch University
  • 13. ROR icon London School of Hygiene & Tropical Medicine
  • 14. ROR icon Sheffield Hallam University
  • 15. US Centers for Disease Control and Prevention
  • 16. ROR icon Harvard University

Description

This dataset contains surveillance study estimates for population size, HIV prevalence, and ART coverage among female sex workers (FSW), men who have sex with men (MSM), people who inject drugs (PWID), and transgender men and women (TGM/W) from 2010-2023. It was created to support the UNAIDS Estimates Key Population Workbook for use by HIV estimates teams in sub-Saharan Africa. Key population surveillance reports, including Ministry of Health-led biobehavioural surveys, mapping studies, and academic studies were used to populate the database.

The dataset was populated using existing key population size estimate databases including:


and was additionally supplemented by a literature review of peer-reviewed and grey literature sources.

The data can be explored in this web application and the accompanying manuscript can be found here

Files

2024-07-31_Public data.zip

Files (12.1 MB)

Name Size Download all
md5:c6348dee8356c51f9d347f292e8a35b8
12.1 MB Preview Download

Additional details

Related works

Is published in
Preprint: 10.1101/2022.07.27.22278071 (DOI)
Journal article: 10.1016/S2214-109X(24)00236-5 (DOI)

Dates

Updated
2024-03-20