Mapping the number of female sex workers in countries across sub-Saharan Africa.
Bayesian hierarchical model
key populations
size estimates
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
10 01 2023
10 01 2023
Historique:
entrez:
3
1
2023
pubmed:
4
1
2023
medline:
6
1
2023
Statut:
ppublish
Résumé
Female sex workers (FSW) are affected by individual, network, and structural risks, making them vulnerable to poor health and well-being. HIV prevention strategies and local community-based programs can rely on estimates of the number of FSW to plan and implement differentiated HIV prevention and treatment services. However, there are limited systematic assessments of the number of FSW in countries across sub-Saharan Africa to facilitate the identification of prevention and treatment gaps. Here we provide estimated population sizes of FSW and the corresponding uncertainties for almost all sub-national areas in sub-Saharan Africa. We first performed a literature review of FSW size estimates and then developed a Bayesian hierarchical model to synthesize these size estimates, resolving competing size estimates in the same area and producing estimates in areas without any data. We estimated that there are 2.5 million (95% uncertainty interval 1.9 to 3.1) FSW aged 15 to 49 in sub-Saharan Africa. This represents a proportion as percent of all women of childbearing age of 1.1% (95% uncertainty interval 0.8 to 1.3%). The analyses further revealed substantial differences between the proportions of FSW among adult females at the sub-national level and studied the relationship between these heterogeneities and many predictors. Ultimately, achieving the vision of no new HIV infections by 2030 necessitates dramatic improvements in our delivery of evidence-based services for sex workers across sub-Saharan Africa.
Identifiants
pubmed: 36595685
doi: 10.1073/pnas.2200633120
pmc: PMC9926247
doi:
Types de publication
Review
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2200633120Subventions
Organisme : NIMH NIH HHS
ID : K01 MH129226
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI136664
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI170249
Pays : United States
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