Evidence map›Paper›PMID 33533115›Full record

ArticleJournal of the International AIDS Society2021

Estimating the contribution of key populations towards HIV transmission in South Africa.

Jack Stone, Christinah Mukandavire, Marie-Claude Boily, Hannah Fraser, Sharmistha Mishra, Sheree Schwartz, Amrita Rao, Katharine J Looker, Matthew Quaife, Fern Terris-Prestholt and 16 more

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Transactional Sex and its Drivers among Men Who Have Sex with Men in Plateau State North Central Nigeria.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Jack StonePopulation Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4584-0068
Christinah MukandavireDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College, London, United Kingdom.
Hannah FraserPopulation Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4340-9995
Sharmistha MishraSt Michaels Hospital, University of Toronto, Toronto, Canada.
Sheree SchwartzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Amrita RaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Katharine J LookerPopulation Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-3375-0807
Matthew QuaifeLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-9291-1511
Fern Terris-PrestholtLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Alexander MarrUniversity of California San Francisco, San Francisco, CA, USA.
Tim LaneEqual International, Washington, DC, USA.ORCID 0000-0002-2351-1204
Jenny CoetzeePerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Glenda GraySouth African Medical Research Council, Cape Town, South Africa.
Kennedy OtwombePerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Minja MilovanovicPerinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Harry HauslerTB HIV Care, Cape Town, South Africa.
Katherine YoungTB HIV Care, Cape Town, South Africa.
Mfezi McinganaTB HIV Care, Cape Town, South Africa.
Manezi NcedaniTB HIV Care, Cape Town, South Africa.
Adrian PurenNational Institute of Communicable Diseases, Johannesburg, South Africa.
Gillian HuntNational Institute of Communicable Diseases, Johannesburg, South Africa.
Zamakayise KoseResearch and Innovation Office, North West University, Potchefstroom, South Africa.
Nancy Phaswana-MafuyaResearch and Innovation Office, North West University, Potchefstroom, South Africa.
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-5482-2419
Peter VickermanPopulation Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-8291-5890

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Examining PrEP use, implementation preferences and the potential for social support to improve PrEP delivery and persistence among female sex workers in Durban, South AfricaR01NR016650 · NINR · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2016 to 2020
$3.2M
Medical Research Council MR/R015600/1NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI036214NIAID NIH HHS P30 AI094189NINR NIH HHS R01 NR016650Wellcome Trust
6 · The paper itself

Abstract

introductionIn generalized epidemic settings, there is insufficient understanding of how the unmet HIV prevention and treatment needs of key populations (KPs), such as female sex workers (FSWs) and men who have sex with men (MSM), contribute to HIV transmission. In such settings, it is typically assumed that HIV transmission is driven by the general population. We estimated the contribution of commercial sex, sex between men, and other heterosexual partnerships to HIV transmission in South Africa (SA).

methodsWe developed the "Key-Pop Model"; a dynamic transmission model of HIV among FSWs, their clients, MSM, and the broader population in SA. The model was parameterized and calibrated using demographic, behavioural and epidemiological data from national household surveys and KP surveys. We estimated the contribution of commercial sex, sex between men and sex among heterosexual partnerships of different sub-groups to HIV transmission over 2010 to 2019. We also estimated the efficiency (HIV infections averted per person-year of intervention) and prevented fraction (% IA) over 10-years from scaling-up ART (to 81% coverage) in different sub-populations from 2020.

resultsSex between FSWs and their paying clients, and between clients with their non-paying partners contributed 6.9% (95% credibility interval 4.5% to 9.3%) and 41.9% (35.1% to 53.2%) of new HIV infections in SA over 2010 to 2019 respectively. Sex between low-risk groups contributed 59.7% (47.6% to 68.5%), sex between men contributed 5.3% (2.3% to 14.1%) and sex between MSM and their female partners contributed 3.7% (1.6% to 9.8%). Going forward, the largest population-level impact on HIV transmission can be achieved from scaling up ART to clients of FSWs (% IA = 18.2% (14.0% to 24.4%) or low-risk individuals (% IA = 20.6% (14.7 to 27.5) over 2020 to 2030), with ART scale-up among KPs being most efficient.

conclusionsClients of FSWs play a fundamental role in HIV transmission in SA. Addressing the HIV prevention and treatment needs of KPs in generalized HIV epidemics is central to a comprehensive HIV response.

Indexed as

Homosexuality, MaleSex WorkersAdultFemaleHIV InfectionsHumansMaleMiddle AgedModels, BiologicalSexual and Gender MinoritiesSex WorkSouth AfricaYoung Adultclientsfemale sex workerskey populationsmathematical modellingmen who have sex with menpopulation attributable fraction

Identifiers

PMID33533115
PMCPMC7855076

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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.