Mapping the number of female sex workers in countries across sub-Saharan Africa

dc.contributor.authorLaga, Ian
dc.contributor.authorNiu, Xiaoyue
dc.contributor.authorRucinski, Katherine
dc.contributor.authorBaral, Stefan
dc.contributor.authorRao, Amrita
dc.contributor.authorChen, David
dc.contributor.authorViswasam, Nikita
dc.contributor.authorPhaswana-Mafuya, Nancy Refilwe
dc.contributor.authorDiouf, Daouda
dc.contributor.authorSabin, Keith
dc.contributor.authorZhao, Jinkou
dc.contributor.authorEaton, Jeffrey W.
dc.contributor.authorBao, Le
dc.date.accessioned2023-02-21T18:15:25Z
dc.date.available2023-02-21T18:15:25Z
dc.date.issued2023-01
dc.description© 2023 National Academy of Sciences.en_US
dc.description.abstractFemale 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.en_US
dc.identifier.citationLaga, Ian, Xiaoyue Niu, Katherine Rucinski, Stefan Baral, Amrita Rao, David Chen, Nikita Viswasam et al. "Mapping the number of female sex workers in countries across sub-Saharan Africa." Proceedings of the National Academy of Sciences 120, no. 2 (2023): e2200633120.en_US
dc.identifier.issn0027-8424
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/17707
dc.language.isoen_USen_US
dc.publisherProceedings of the National Academy of Sciencesen_US
dc.rightscopyright Proceedings of the National Academy of Sciences 2023en_US
dc.rights.urihttps://web.archive.org/web/20200107105118/https://www.pnas.org/page/authors/author-faqen_US
dc.subjectkey populationsen_US
dc.subjectsize estimatesen_US
dc.subjectbayesian hierarchical modelen_US
dc.titleMapping the number of female sex workers in countries across sub-Saharan Africaen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage12en_US
mus.citation.issue2en_US
mus.citation.journaltitleProceedings of the National Academy of Sciencesen_US
mus.citation.volume120en_US
mus.identifier.doi10.1073/pnas.2200633120en_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
laga-africa-2023.pdf
Size:
467.88 KB
Format:
Adobe Portable Document Format
Description:
sub-saharan africa

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: