Evidence map›Paper›PMID 38180738›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2024

Comparison of Empirically Derived and Model-Based Estimates of Key Population HIV Incidence and the Distribution of New Infections by Population Group in Sub-Saharan Africa.

Oliver Stevens, Rebecca Anderson, John Stover, Yu Teng, James Stannah, Romain Silhol, Harriet Jones, Ross D Booton, Rowan Martin-Hughes, Leigh Johnson and 16 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Updated Data and Methods for the 2023 UNAIDS HIV Estimates.Journal of acquired immune deficiency syndromes (1999) · 2024
    Article
  6. Article
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.

Oliver StevensMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6842-9434
Rebecca AndersonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
John StoverCenter for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.
Yu TengCenter for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.
James StannahDepartment of Epidemiology and Biostatistics, School of Population and Global Health, McGill University, Montréal, Canada.
Romain SilholMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Harriet JonesFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Ross D BootonUnited Kingdom Heath Security Agency, London, United Kingdom.
Rowan Martin-HughesMacfarlane Burnet Institute for Medical Research and Public Health, Melbourne, Australia.
Leigh JohnsonCentre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
Mathieu Maheu-GirouxDepartment of Epidemiology and Biostatistics, School of Population and Global Health, McGill University, Montréal, Canada.
Sharmistha MishraDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Jack StonePopulation Health Sciences, University of Bristol, Bristol, United Kingdom.
Anna BershteynDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Keith SabinData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Kate M MitchellMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Dobromir DimitrovHIV Prevention Trials Network Modelling Centre, Imperial College London, London, United Kingdom.
Stefan BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD.
Deborah DonnellVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA.
Eline KorenrompData for Impact, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.
Brian RiceSchool of Health and Related Research (SchARR), University of Sheffield, Sheffield, United Kingdom; and.
James R HargreavesFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Peter VickermanPopulation Health Sciences, University of Bristol, Bristol, United Kingdom.
Marie-Claude BoilyMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Jeffrey W Imai-EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.

Funding

SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
Quantification of HIV burden and the biomedical, structural, and behavioral factors influencing HIV/AIDS among children and young adolescentsR01AI152721 · NIAID · UNIVERSITY OF WASHINGTON · PI KYU, HMWE HMWE · 2021 to 2025
$3.6M
Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV EpidemicsR01AI170249 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2022 to 2025
$2.9M
Medical Research Council MR/R015600/1NIAID NIH HHS R01 AI152721NIAID NIH HHS R01 AI170249NIAID NIH HHS UM1 AI068617Wellcome TrustWellcome Trust WT 226619/Z/22/Z
6 · The paper itself

Abstract

backgroundThe distribution of new HIV infections among key populations, including female sex workers (FSWs), gay men and other men who have sex with men (MSM), and people who inject drugs (PWID) are essential information to guide an HIV response, but data are limited in sub-Saharan Africa (SSA). We analyzed empirically derived and mathematical model-based estimates of HIV incidence among key populations and compared with the Joint United Nations Programme on HIV/AIDS (UNAIDS) estimates.

methodsWe estimated HIV incidence among FSW and MSM in SSA by combining meta-analyses of empirical key population HIV incidence relative to the total population incidence with key population size estimates (KPSE) and HIV prevalence. Dynamic HIV transmission model estimates of HIV incidence and percentage of new infections among key populations were extracted from 94 country applications of 9 mathematical models. We compared these with UNAIDS-reported distribution of new infections, implied key population HIV incidence and incidence-to-prevalence ratios.

resultsAcross SSA, empirical FSW HIV incidence was 8.6-fold (95% confidence interval: 5.7 to 12.9) higher than total population female 15-39 year incidence, and MSM HIV incidence was 41.8-fold (95% confidence interval: 21.9 to 79.6) male 15-29 year incidence. Combined with KPSE, these implied 12% of new HIV infections in 2021 were among FSW and MSM (5% and 7% respectively). In sensitivity analysis varying KPSE proportions within 95% uncertainty range, the proportion of new infections among FSW and MSM was between 9% and 19%. Insufficient data were available to estimate PWID incidence rate ratios. Across 94 models, median proportion of new infections among FSW, MSM, and PWID was 6.4% (interquartile range 3.2%-11.7%), both much lower than the 25% reported by UNAIDS.

conclusionEmpirically derived and model-based estimates of HIV incidence confirm dramatically higher HIV risk among key populations in SSA. Estimated proportions of new infections among key populations in 2021 were sensitive to population size assumptions and were substantially lower than estimates reported by UNAIDS.

Indexed as

HIV InfectionsSexual and Gender MinoritiesSex WorkersSubstance Abuse, IntravenousAfrica South of the SaharaFemaleHomosexuality, MaleHumansIncidenceMalePopulation Groups

Identifiers

PMID38180738
PMCPMC10769165

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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.