Measuring HIV Acquisitions Among Partners of Key Populations: Estimates From HIV Transmission Dynamic Models

Author:

Silhol Romain12ORCID,Anderson Rebecca L.1,Stevens Oliver1,Stannah James3,Booton Ross D.1,Baral Stefan4,Dimitrov Dobromir5,Mitchell Kate M.126,Donnell Deborah5,Bershteyn Anna7,Brown Tim8,Kelly Sherrie L.9,Kim Hae-Young7,Johnson Leigh F.10,Maheu-Giroux Mathieu3,Martin-Hughes Rowan9,Mishra Sharmistha11,Peerapatanapokin Wiwat8,Stone Jack12,Stover John13,Teng Yu13,Vickerman Peter12,Garcia Sonia Arias14,Korenromp Eline14,Imai-Eaton Jeffrey W.115,Boily Marie-Claude12

Affiliation:

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

2. HIV Prevention Trials Network Modelling Centre, Imperial College London, London, United Kingdom;

3. Department of Epidemiology and Biostatistics, School of Population and Global Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Quebec, Canada;

4. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;

5. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA;

6. Department of Nursing and Community Health, Glasgow Caledonian University London, London, United Kindom;

7. Department of Population Health, New York University Grossman School of Medicine, New York, New York;

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

9. Burnet Institute, Melbourne, Victoria, Australia;

10. Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, Cape Town, South Africa;

11. Department of Medicine, University of Toronto, Toronto, Ontario, Canada;

12. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom;

13. Avenir Health, Glastonbury, CT;

14. Data for Impact Division, UNAIDS, Geneva, Switzerland; and

15. Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.

Abstract

Background: Key populations (KPs), including female sex workers (FSWs), gay men and other men who have sex with men (MSM), people who inject drugs (PWID), and transgender women (TGW) experience disproportionate risks of HIV acquisition. The UNAIDS Global AIDS 2022 Update reported that one-quarter of all new HIV infections occurred among their non-KP sexual partners. However, this fraction relied on heuristics regarding the ratio of new infections that KPs transmitted to their non-KP partners to the new infections acquired among KPs (herein referred to as “infection ratios”). We recalculated these ratios using dynamic transmission models. Setting: One hundred seventy-eight settings (106 countries). Methods: Infection ratios for FSW, MSM, PWID, TGW, and clients of FSW were estimated from 12 models for 2020. Results: Median model estimates of infection ratios were 0.7 (interquartile range: 0.5–1.0; n = 172 estimates) and 1.2 (0.8–1.8; n = 127) for acquisitions from FSW clients and transmissions from FSW to all their non-KP partners, respectively, which were comparable with the previous UNAIDS assumptions (0.2–1.5 across regions). Model estimates for female partners of MSM were 0.5 (0.2–0.8; n = 20) and 0.3 (0.2–0.4; n = 10) for partners of PWID across settings in Eastern and Southern Africa, lower than the corresponding UNAIDS assumptions (0.9 and 0.8, respectively). The few available model estimates for TGW were higher [5.1 (1.2–7.0; n = 8)] than the UNAIDS assumptions (0.1–0.3). Model estimates for non-FSW partners of FSW clients in Western and Central Africa were high (1.7; 1.0–2.3; n = 29). Conclusions: Ratios of new infections among non-KP partners relative to KP were high, confirming the importance of better addressing prevention and treatment needs among KP as central to reducing overall HIV incidence.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference22 articles.

1. Reductions in HIV incidence are likely to increase the importance of key population programmes for HIV control in sub-Saharan Africa;Garnett;J Int AIDS Soc,2021

2. The disconnect between individual-level and population-level HIV prevention benefits of antiretroviral treatment;Baral;Lancet HIV,2019

3. Global HIV control: is the glass half empty or half full?;Nachega;Lancet HIV,2023

4. New HIV infections among key populations and their partners in 2010 and 2022, by world region—a multi-sources estimation;Korenromp,2023

5. Estimating per-act HIV transmission risk: a systematic review;Patel;AIDS,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3