Imperial College London
Alternate

ProfessorMarie-ClaudeBoily

Faculty of Medicine, School of Public Health

Professor of Mathematical Epidemiology
 
 
 
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Contact

 

+44 (0)20 7594 3263mc.boily

 
 
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Location

 

LG26Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Silhol:2024,
author = {Silhol, R and Anderson, R and Stevens, O and Stannah, J and Booton, R and Baral, S and Dimitrov, D and Mitchell, K and Donnell, D and Bershteyn, A and Brown, T and Kelly, S and Kim, H-Y and Johnson, L and Maheu-Giroux, M and Martin-Hughes, R and Mishra, S and Peerapatanapokin, W and Stone, J and Stover, J and Teng, Y and Vickerman, P and Arias, Garcia S and Korenromp, E and Imai-Eaton, J and Boily, M-C},
journal = {JAIDS: Journal of Acquired Immune Deficiency Syndromes},
pages = {e59--e69},
title = {Measuring HIV acquisitions among partners of key populations: estimates from HIV transmission dynamic models},
url = {https://journals.lww.com/jaids/fulltext/2024/01011/measuring_hiv_acquisitions_among_partners_of_key.7.aspx},
volume = {95},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: Key populations (KPs), including female sex workers (FSW), 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: 178 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 to 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 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 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). Conclusion: 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.
AU  - Silhol,R
AU  - Anderson,R
AU  - Stevens,O
AU  - Stannah,J
AU  - Booton,R
AU  - Baral,S
AU  - Dimitrov,D
AU  - Mitchell,K
AU  - Donnell,D
AU  - Bershteyn,A
AU  - Brown,T
AU  - Kelly,S
AU  - Kim,H-Y
AU  - Johnson,L
AU  - Maheu-Giroux,M
AU  - Martin-Hughes,R
AU  - Mishra,S
AU  - Peerapatanapokin,W
AU  - Stone,J
AU  - Stover,J
AU  - Teng,Y
AU  - Vickerman,P
AU  - Arias,Garcia S
AU  - Korenromp,E
AU  - Imai-Eaton,J
AU  - Boily,M-C
EP  - 69
PY  - 2024///
SN  - 1525-4135
SP  - 59
TI  - Measuring HIV acquisitions among partners of key populations: estimates from HIV transmission dynamic models
T2  - JAIDS: Journal of Acquired Immune Deficiency Syndromes
UR  - https://journals.lww.com/jaids/fulltext/2024/01011/measuring_hiv_acquisitions_among_partners_of_key.7.aspx
UR  - http://hdl.handle.net/10044/1/107465
VL  - 95
ER  -
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