BibTex format
@article{Silhol:2024:10.1016/s2352-3018(24)00126-7,
author = {Silhol, R and Maheu-Giroux, M and Soni, N and Simo, Fotso A and Rouveau, N and Vautier, A and Doumenc-Aïdara, C and Geoffroy, O and N'Guessan, KN and Sidibé, Y and Kabemba, OK and Gueye, PA and Ndeye, PD and Mukandavire, C and Vickerman, P and Keita, A and Ndour, CT and Larmarange, J and Boily, M-C and ATLAS, Team},
doi = {10.1016/s2352-3018(24)00126-7},
journal = {The Lancet HIV},
title = {Potential population-level effects of HIV self-test distribution among key populations in Côte d'Ivoire, Mali, and Senegal: a mathematical modelling analysis},
url = {http://dx.doi.org/10.1016/s2352-3018(24)00126-7},
volume = {11},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - BackgroundDuring 2019–21, the AutoTest VIH, Libre d'accéder à la connaissance de son Statut (ATLAS) programme distributed around 380 000 HIV self-testing kits to key populations, including female sex workers, men who have sex with men, and their partners, in Côte d'Ivoire, Mali, and Senegal. We aimed to estimate the effects of the ATLAS programme and national scale-up of HIV self-test distribution on HIV diagnosis, HIV treatment coverage, HIV incidence, and HIV-related mortality.MethodsWe adapted a deterministic compartmental model of HIV transmission in Côte d'Ivoire, parameterised and fitted to country-specific demographic, behavioural, HIV epidemiological, and intervention data in Côte d'Ivoire, Mali, and Senegal separately during 1980–2020. We simulated dynamics of new HIV infections, HIV diagnoses, and HIV-related deaths within scenarios with and without HIV self-test distribution among key populations. Models were separately parameterised and fitted to country-specific sets of epidemiological and intervention outcomes (stratified by sex, risk, age group, and HIV status, if available) over time within a Bayesian framework. We estimated the effects on the absolute increase in the proportion of people with HIV diagnosed at the end of 2021 for the ATLAS-only scenario and at the end of 2028 and 2038 for the HIV self-testing scale-up scenario. We estimated cumulative numbers of additional HIV diagnoses and initiations of antiretroviral therapy and the proportion and absolute numbers of new HIV infections and HIV-related deaths averted during 2019–21 and 2019–28 for the ATLAS-only scenario and during 2019–28 and 2019–38 for the HIV self-testing scale-up scenario.FindingsOur model estimated that ATLAS could have led to 700 (90% uncertainty interval [UI] 500–900) additional HIV diagnoses in Côte d'Ivoire, 500 (300–900) in Mali, and 300 (50–700) in Senegal during 2019&ndas
AU - Silhol,R
AU - Maheu-Giroux,M
AU - Soni,N
AU - Simo,Fotso A
AU - Rouveau,N
AU - Vautier,A
AU - Doumenc-Aïdara,C
AU - Geoffroy,O
AU - N'Guessan,KN
AU - Sidibé,Y
AU - Kabemba,OK
AU - Gueye,PA
AU - Ndeye,PD
AU - Mukandavire,C
AU - Vickerman,P
AU - Keita,A
AU - Ndour,CT
AU - Larmarange,J
AU - Boily,M-C
AU - ATLAS,Team
DO - 10.1016/s2352-3018(24)00126-7
PY - 2024///
SN - 2352-3018
TI - Potential population-level effects of HIV self-test distribution among key populations in Côte d'Ivoire, Mali, and Senegal: a mathematical modelling analysis
T2 - The Lancet HIV
UR - http://dx.doi.org/10.1016/s2352-3018(24)00126-7
UR - http://hdl.handle.net/10044/1/113527
VL - 11
ER -