Population Size Estimation of Men Who Have Sex With Men in Rwanda: Three-Source Capture-Recapture Method.
HIV
RDS
Rwanda
capture-recapture
men who have sex with men
nationwide
population size
three-source
Journal
JMIR public health and surveillance
ISSN: 2369-2960
Titre abrégé: JMIR Public Health Surveill
Pays: Canada
ID NLM: 101669345
Informations de publication
Date de publication:
27 03 2023
27 03 2023
Historique:
received:
30
09
2022
accepted:
03
02
2023
revised:
24
12
2022
medline:
29
3
2023
entrez:
27
3
2023
pubmed:
28
3
2023
Statut:
epublish
Résumé
Globally, men who have sex with men (MSM) continue to bear a disproportionately high burden of HIV infection. Rwanda experiences a mixed HIV epidemic, which is generalized in the adult population, with aspects of a concentrated epidemic among certain key populations at higher risk of HIV infection, including MSM. Limited data exist to estimate the population size of MSM at a national scale; hence, an important piece is missing in determining the denominators to use in estimates for policy makers, program managers, and planners to effectively monitor HIV epidemic control. The aims of this study were to provide the first national population size estimate (PSE) and geographic distribution of MSM in Rwanda. Between October and December 2021, a three-source capture-recapture method was used to estimate the MSM population size in Rwanda. Unique objects were distributed to MSM through their networks (first capture), who were then tagged according to MSM-friendly service provision (second capture), and a respondent-driven sampling survey was used as the third capture. Capture histories were aggregated in a 2k-1 contingency table, where k indicates the number of capture occasions and "1" and "0" indicate captured and not captured, respectively. Statistical analysis was performed in R (version 4.0.5) and the Bayesian nonparametric latent-class capture-recapture package was used to produce the final PSE with 95% credibility sets (CS). We sampled 2465, 1314, and 2211 MSM in capture one, two, and three, respectively. There were 721 recaptures between captures one and two, 415 recaptures between captures two and three, and 422 recaptures between captures one and three. There were 210 MSM captured in all three captures. The total estimated population size of MSM above 18 years old in Rwanda was 18,100 (95% CS 11,300-29,700), corresponding to 0.70% (95% CI 0.4%-1.1%) of total adult males. Most MSM reside in the city of Kigali (7842, 95% CS 4587-13,153), followed by the Western province (2469, 95% CS 1994-3518), Northern province (2375, 95% CS 842-4239), Eastern province (2287, 95% CS 1927-3014), and Southern province (2109, 95% CS 1681-3418). Our study provides, for the first time, a PSE of MSM aged 18 years or older in Rwanda. MSM are concentrated in the city of Kigali and are almost evenly distributed across the other 4 provinces. The national proportion estimate bounds of MSM out of the total adult males includes the World Health Organization's minimum recommended proportion (at least 1.0%) based on 2012 census population projections for 2021. These results will inform denominators to be used for estimating service coverage and fill existing information gaps to enable policy makers and planners to monitor the HIV epidemic among MSM nationally. There is an opportunity for conducting small-area MSM PSEs for subnational-level HIV treatment and prevention interventions.
Sections du résumé
BACKGROUND
Globally, men who have sex with men (MSM) continue to bear a disproportionately high burden of HIV infection. Rwanda experiences a mixed HIV epidemic, which is generalized in the adult population, with aspects of a concentrated epidemic among certain key populations at higher risk of HIV infection, including MSM. Limited data exist to estimate the population size of MSM at a national scale; hence, an important piece is missing in determining the denominators to use in estimates for policy makers, program managers, and planners to effectively monitor HIV epidemic control.
OBJECTIVE
The aims of this study were to provide the first national population size estimate (PSE) and geographic distribution of MSM in Rwanda.
METHODS
Between October and December 2021, a three-source capture-recapture method was used to estimate the MSM population size in Rwanda. Unique objects were distributed to MSM through their networks (first capture), who were then tagged according to MSM-friendly service provision (second capture), and a respondent-driven sampling survey was used as the third capture. Capture histories were aggregated in a 2k-1 contingency table, where k indicates the number of capture occasions and "1" and "0" indicate captured and not captured, respectively. Statistical analysis was performed in R (version 4.0.5) and the Bayesian nonparametric latent-class capture-recapture package was used to produce the final PSE with 95% credibility sets (CS).
RESULTS
We sampled 2465, 1314, and 2211 MSM in capture one, two, and three, respectively. There were 721 recaptures between captures one and two, 415 recaptures between captures two and three, and 422 recaptures between captures one and three. There were 210 MSM captured in all three captures. The total estimated population size of MSM above 18 years old in Rwanda was 18,100 (95% CS 11,300-29,700), corresponding to 0.70% (95% CI 0.4%-1.1%) of total adult males. Most MSM reside in the city of Kigali (7842, 95% CS 4587-13,153), followed by the Western province (2469, 95% CS 1994-3518), Northern province (2375, 95% CS 842-4239), Eastern province (2287, 95% CS 1927-3014), and Southern province (2109, 95% CS 1681-3418).
CONCLUSIONS
Our study provides, for the first time, a PSE of MSM aged 18 years or older in Rwanda. MSM are concentrated in the city of Kigali and are almost evenly distributed across the other 4 provinces. The national proportion estimate bounds of MSM out of the total adult males includes the World Health Organization's minimum recommended proportion (at least 1.0%) based on 2012 census population projections for 2021. These results will inform denominators to be used for estimating service coverage and fill existing information gaps to enable policy makers and planners to monitor the HIV epidemic among MSM nationally. There is an opportunity for conducting small-area MSM PSEs for subnational-level HIV treatment and prevention interventions.
Identifiants
pubmed: 36972131
pii: v9i1e43114
doi: 10.2196/43114
pmc: PMC10131990
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e43114Subventions
Organisme : PEPFAR
Pays : United States
Informations de copyright
©Elysee Tuyishime, Catherine Kayitesi, Gentille Musengimana, Samuel Malamba, Hailegiorgis Moges, Ida Kankindi, Horacio Ruisenor Escudero, Ignace Habimana Kabano, Tom Oluoch, Eric Remera, Angela Chukwu. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 27.03.2023.
Références
Biometrics. 2016 Dec;72(4):1246-1254
pubmed: 26954906
Public Health Rep. 2001;116 Suppl 1:216-22
pubmed: 11889287
JMIR Public Health Surveill. 2018 Feb 08;4(1):e15
pubmed: 29422452
PLoS One. 2019 May 31;14(5):e0217501
pubmed: 31150447
JMIR Public Health Surveill. 2022 Apr 26;8(4):e32645
pubmed: 35471234
PLoS One. 2021 Sep 22;16(9):e0256949
pubmed: 34550978
AIDS. 2019 Dec 15;33 Suppl 3:S197-S201
pubmed: 31725433
JMIR Public Health Surveill. 2022 Oct 26;8(10):e34555
pubmed: 36287587
JMIR Public Health Surveill. 2019 Aug 12;5(3):e12118
pubmed: 31407673
JMIR Public Health Surveill. 2019 Mar 18;5(1):e11576
pubmed: 30882356
Epidemiol Infect. 2021 Mar 18;149:e84
pubmed: 33734058
Epidemiology. 2012 Jan;23(1):138-47
pubmed: 22157309
AIDS Behav. 2015 Feb;19 Suppl 1:S16-23
pubmed: 25704987
J Urban Health. 2006 Nov;83(6 Suppl):i1-5
pubmed: 17058119
Sociol Methodol. 2010 Aug;40(1):285-327
pubmed: 22969167
PLoS Med. 2007 Dec;4(12):e339
pubmed: 18052602
Curr Opin HIV AIDS. 2014 Mar;9(2):107-14
pubmed: 24393694
JMIR Public Health Surveill. 2019 Apr 03;5(2):e12316
pubmed: 30942697
Drug Alcohol Depend. 2018 Apr 01;185:106-111
pubmed: 29432973
Biometrics. 2003 Dec;59(4):1123-30
pubmed: 14969493
Lancet. 2016 Jul 9;388(10040):198-206
pubmed: 27411880
J Urban Health. 2006 Nov;83(6 Suppl):i98-112
pubmed: 16937083
Int J Epidemiol. 2001 Feb;30(1):12-4
pubmed: 11171841
Am J Public Health. 1994 Jul;84(7):1068-9
pubmed: 8017525
Harm Reduct J. 2019 Dec 23;16(1):73
pubmed: 31870396
BMJ Glob Health. 2020 Aug;5(8):
pubmed: 32764126
Public Health Rep. 2011 Jan-Feb;126(1):60-72
pubmed: 21351396
Subst Abuse Treat Prev Policy. 2012 Feb 21;7:9
pubmed: 22348548
Sex Transm Infect. 2010 Dec;86 Suppl 2:ii11-5
pubmed: 21106509
Lancet. 2012 Jul 28;380(9839):367-77
pubmed: 22819660
Epidemiology. 2015 Nov;26(6):846-52
pubmed: 26258908
J Int AIDS Soc. 2020 Oct;23 Suppl 6:e25604
pubmed: 33000912
PLoS One. 2022 Aug 4;17(8):e0272405
pubmed: 35925943
Trop Med Int Health. 2017 Sep;22(9):1112-1118
pubmed: 28627038
J Urban Health. 2012 Jun;89(3):565-86
pubmed: 22421885