Female sex workers population size estimation in Rwanda using a three-source capture-recapture method.


Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
18 03 2021
Historique:
pubmed: 19 3 2021
medline: 10 8 2021
entrez: 18 3 2021
Statut: epublish

Résumé

Establishing accurate population size estimates (PSE) is important for prioritising and planning provision of services. Multiple source capture-recapture sampling method increases PSE accuracy and reliability. In August 2018, the three-source capture-recapture (3S-CRC) method was employed with a stringent assumption of sample independence to estimate the number of female sex workers (FSW) in Rwanda. Using Rwanda 2017 FSW hotspots mapping data, street and venue-based FSW were sampled at the sector level of each province and tagged with two unique gifts. Each capture was completed within one week to minimise FSW migration between provinces and recall bias. The three captures had 1042, 1204 and 1488 FSW. There were 111 FSW recaptured between captures 1 and 2; 237 between captures 2 and 3; 203 between captures 1 and 3 and 46 captured in all three. The PSE for street and venue-based FSW in Rwanda lies within 95% credible set: 8328-22 806 with corresponding median of 13 716 FSW. The 3S-CRC technique was low-cost and relatively easy to use for PSE in hard-to-reach populations. This estimate provides the basis for determining the denominators to assess HIV programme performance towards FSW and epidemic control and warrants further PSE for home- and cyber-based FSW in Rwanda.

Identifiants

pubmed: 33734058
doi: 10.1017/S0950268821000595
pii: S0950268821000595
pmc: PMC8080221
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e84

Subventions

Organisme : PEPFAR
ID : GH001612
Pays : United States

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Auteurs

G Musengimana (G)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

E Tuyishime (E)

Division of Global HIV/AIDS and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Rwanda.

E Remera (E)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

M Dong (M)

Division of Global HIV/AIDs and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA.

D Sebuhoro (D)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

A Mulindabigwi (A)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

E Kayirangwa (E)

Division of Global HIV/AIDS and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Rwanda.

S S Malamba (SS)

Division of Global HIV/AIDS and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Rwanda.

S Gutreuter (S)

Division of Global HIV/AIDs and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA.

D Prybylski (D)

Division of Global HIV/AIDs and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA.

R H Doshi (RH)

Division of Global HIV/AIDs and TB, United States Centers for Disease Control and Prevention, Center for Global Health, Atlanta, GA, USA.

C Kayitesi (C)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

V Mutarabayire (V)

United Nations Population Funds, UNFPA, Rwanda.

S Nsanzimana (S)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

P Mugwaneza (P)

Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.

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Classifications MeSH