Evidence map›Paper›PMID 39151976›Full record

ArticleThe Lancet. Global health2024

Population size, HIV prevalence, and antiretroviral therapy coverage among key populations in sub-Saharan Africa: collation and synthesis of survey data, 2010-23.

Oliver Stevens, Keith Sabin, Rebecca L Anderson, Sonia Arias Garcia, Kalai Willis, Amrita Rao, Anne F McIntyre, Elizabeth Fearon, Emilie Grard, Alice Stuart-Brown and 17 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Oliver StevensMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. Electronic address: o.stevens@imperial.ac.uk.
Keith SabinData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Rebecca L AndersonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Sonia Arias GarciaData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Kalai WillisJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Amrita RaoJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Anne F McIntyreUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Elizabeth FearonInstitute for Global Health, University College London, London, UK.
Emilie GrardMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Alice Stuart-BrownMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Frances CowanLiverpool School of Tropical Medicine, Liverpool, UK; Centre for Sexual Health and HIV/AIDS Research, Harare, Zimbabwe.
Louisa DegenhardtNational Drug and Alcohol Research Centre, University New South Wales, Sydney, NSW, Australia.
James StannahDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jinkou ZhaoThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Avi J HakimUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Katherine RucinskiJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Isabel SathaneMinistry of Health, Maputo, Mozambique.
Makini BootheData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Maputo, Mozambique.
Lydia AtuhaireDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Peter S NyasuluDivision of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Mathieu Maheu-GirouxDepartment of Epidemiology and Biostatistics, School of Population and Global Health, McGill University, Montréal, QC, Canada.
Lucy PlattFaculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Brian RiceSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Wolfgang HladikUS Centers for Disease Control and Prevention, Atlanta, GA, USA.
Stefan BaralJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Mary MahyData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Jeffrey W Imai-EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
Implementation Research to Optimize ART Delivery for Adolescents and Young Adults Living with HIVK01MH129226 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Katherine B Rucinski · 2022 to 2026
$792k
Program and implementation context of a housing support initiative to address homelessness and improve HIV service uptake among youth in the United StatesK01MD020002 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI Amrita Rao · 2024 to 2026
$381k
NIAID NIH HHS R01 AI136664NIMHD NIH HHS K01 MD020002NIMH NIH HHS K01 MH129226
6 · The paper itself

Abstract

backgroundKey population HIV programmes in sub-Saharan Africa require epidemiological information to ensure equitable and universal access to effective services. We aimed to consolidate and harmonise survey data among female sex workers, men who have sex with men, people who inject drugs, and transgender people to estimate key population size, HIV prevalence, and antiretroviral therapy (ART) coverage for countries in mainland sub-Saharan Africa.

methodsKey population size estimates, HIV prevalence, and ART coverage data from 39 sub-Saharan Africa countries between 2010 and 2023 were collated from existing databases and verified against source documents. We used Bayesian mixed-effects spatial regression to model urban key population size estimates as a proportion of the gender-matched, year-matched, and area-matched population aged 15-49 years. We modelled subnational key population HIV prevalence and ART coverage with age-matched, gender-matched, year-matched, and province-matched total population estimates as predictors.

findingsWe extracted 2065 key population size data points, 1183 HIV prevalence data points, and 259 ART coverage data points. Across national urban populations, a median of 1·65% (IQR 1·35-1·91) of adult cisgender women were female sex workers, 0·89% (0·77-0·95) were men who have sex with men, 0·32% (0·31-0·34) were men who injected drugs, and 0·10% (0·06-0·12) were women who were transgender. HIV prevalence among key populations was, on average, four to six times higher than matched total population prevalence, and ART coverage was correlated with, but lower than, the total population ART coverage with wide heterogeneity in relative ART coverage across studies. Across sub-Saharan Africa, key populations were estimated as comprising 1·2% (95% credible interval 0·9-1·6) of the total population aged 15-49 years but 6·1% (4·5-8·2) of people living with HIV.

interpretationKey populations in sub-Saharan Africa experience higher HIV prevalence and lower ART coverage, underscoring the need for focused prevention and treatment services. In 2024, limited data availability and heterogeneity constrain precise estimates for programming and monitoring trends. Strengthening key population surveys and routine data within national HIV strategic information systems would support more precise estimates.

fundingUNAIDS, Bill & Melinda Gates Foundation, and US National Institutes of Health.

Indexed as

HIV InfectionsAdolescentAdultAfrica South of the SaharaAnti-Retroviral AgentsBayes TheoremFemaleHomosexuality, MaleHumansMaleMiddle AgedPopulation DensityPrevalenceSex WorkersTransgender PersonsYoung AdultAnti-Retroviral Agents

Identifiers

PMID39151976
PMCPMC11345451

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.