New HIV Infections Among Key Populations and Their Partners in 2010 and 2022, by World Region: A Multisources Estimation.


Journal

Journal of acquired immune deficiency syndromes (1999)
ISSN: 1944-7884
Titre abrégé: J Acquir Immune Defic Syndr
Pays: United States
ID NLM: 100892005

Informations de publication

Date de publication:
01 Jan 2024
Historique:
medline: 5 1 2024
pubmed: 5 1 2024
entrez: 5 1 2024
Statut: ppublish

Résumé

Previously, The Joint United Nations Programme on HIV/AIDS estimated proportions of adult new HIV infections among key populations (KPs) in the last calendar year, globally and in 8 regions. We refined and updated these, for 2010 and 2022, using country-level trend models informed by national data. Infections among 15-49 year olds were estimated for sex workers (SWs), male clients of female SW, men who have sex with men (MSM), people who inject drugs (PWID), transgender women (TGW), and non-KP sex partners of these groups. Transmission models used were Goals (71 countries), AIDS Epidemic Model (13 Asian countries), Optima (9 European and Central Asian countries), and Thembisa (South Africa). Statistical Estimation and Projection Package fits were used for 15 countries. For 40 countries, new infections in 1 or more KPs were approximated from first-time diagnoses by the mode of transmission. Infection proportions among nonclient partners came from Goals, Optima, AIDS Epidemic Model, and Thembisa. For remaining countries and groups not represented in models, median proportions by KP were extrapolated from countries modeled within the same region. Across 172 countries, estimated proportions of new adult infections in 2010 and 2022 were both 7.7% for SW, 11% and 20% for MSM, 0.72% and 1.1% for TGW, 6.8% and 8.0% for PWID, 12% and 10% for clients, and 5.3% and 8.2% for nonclient partners. In sub-Saharan Africa, proportions of new HIV infections decreased among SW, clients, and non-KP partners but increased for PWID; elsewhere these groups' 2010-to-2022 differences were opposite. For MSM and TGW, the proportions increased across all regions. KPs continue to have disproportionately high HIV incidence.

Sections du résumé

BACKGROUND BACKGROUND
Previously, The Joint United Nations Programme on HIV/AIDS estimated proportions of adult new HIV infections among key populations (KPs) in the last calendar year, globally and in 8 regions. We refined and updated these, for 2010 and 2022, using country-level trend models informed by national data.
METHODS METHODS
Infections among 15-49 year olds were estimated for sex workers (SWs), male clients of female SW, men who have sex with men (MSM), people who inject drugs (PWID), transgender women (TGW), and non-KP sex partners of these groups. Transmission models used were Goals (71 countries), AIDS Epidemic Model (13 Asian countries), Optima (9 European and Central Asian countries), and Thembisa (South Africa). Statistical Estimation and Projection Package fits were used for 15 countries. For 40 countries, new infections in 1 or more KPs were approximated from first-time diagnoses by the mode of transmission. Infection proportions among nonclient partners came from Goals, Optima, AIDS Epidemic Model, and Thembisa. For remaining countries and groups not represented in models, median proportions by KP were extrapolated from countries modeled within the same region.
RESULTS RESULTS
Across 172 countries, estimated proportions of new adult infections in 2010 and 2022 were both 7.7% for SW, 11% and 20% for MSM, 0.72% and 1.1% for TGW, 6.8% and 8.0% for PWID, 12% and 10% for clients, and 5.3% and 8.2% for nonclient partners. In sub-Saharan Africa, proportions of new HIV infections decreased among SW, clients, and non-KP partners but increased for PWID; elsewhere these groups' 2010-to-2022 differences were opposite. For MSM and TGW, the proportions increased across all regions.
CONCLUSIONS CONCLUSIONS
KPs continue to have disproportionately high HIV incidence.

Identifiants

pubmed: 38180737
doi: 10.1097/QAI.0000000000003340
pii: 00126334-202401011-00005
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e34-e45

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors have no funding or conflicts of interest to disclose.

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Auteurs

Eline L Korenromp (EL)

Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.

Keith Sabin (K)

Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.

John Stover (J)

Center for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.

Tim Brown (T)

Research Program, East-West Center, Honolulu, HI.

Leigh F Johnson (LF)

Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.

Rowan Martin-Hughes (R)

Macfarlane Burnet Institute for Medical Research and Public Health, Melbourne, Australia.

Debra Ten Brink (D)

Macfarlane Burnet Institute for Medical Research and Public Health, Melbourne, Australia.

Yu Teng (Y)

Center for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.

Oliver Stevens (O)

MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.

Romain Silhol (R)

MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
HIV Prevention Trials Network Modelling Centre, Imperial College London, London, United Kingdom.

Sonia Arias-Garcia (S)

Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.

Joshua Kimani (J)

Partners for Health and Development in Africa, Nairobi, Kenya.
University of Nairobi, Nairobi, Kenya; and.

Robert Glaubius (R)

Center for Modeling, Planning and Policy Analysis, Avenir Health, Glastonbury, CT.

Peter Vickerman (P)

Population Health Sciences, University of Bristol, Bristol, United Kingdom.

Mary Mahy (M)

Data for Impact Department, The Joint United Nations Program on HIV/AIDS (UNAIDS), Geneva, Switzerland.

Classifications MeSH