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Mapping the number of female sex workers in countries across sub-Saharan Africa.
Laga, Ian; Niu, Xiaoyue; Rucinski, Katherine; Baral, Stefan; Rao, Amrita; Chen, David; Viswasam, Nikita; Phaswana-Mafuya, Nancy Refilwe; Diouf, Daouda; Sabin, Keith; Zhao, Jinkou; Eaton, Jeffrey W; Bao, Le.
Affiliation
  • Laga I; Montana State University, Bozeman, MT 59717.
  • Niu X; Pennsylvania State University, University Park, PA 16802.
  • Rucinski K; Johns Hopkins University, Baltimore, MD 21205.
  • Baral S; Johns Hopkins University, Baltimore, MD 21205.
  • Rao A; Johns Hopkins University, Baltimore, MD 21205.
  • Chen D; Pennsylvania State University, University Park, PA 16802.
  • Viswasam N; University of Maryland, College Park, MD 20742.
  • Phaswana-Mafuya NR; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit and Faculty of Health Sciences, University of Johannesburg, Johannesburg 2028, South Africa.
  • Diouf D; Enda Santé, Dakar 3370, Senegal.
  • Sabin K; The Joint United Nations Programme on HIV/AIDS, Geneva 1211, Switzerland.
  • Zhao J; The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva 1218, Switzerland.
  • Eaton JW; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London SW7 2AZ, UK.
  • Bao L; Pennsylvania State University, University Park, PA 16802.
Proc Natl Acad Sci U S A ; 120(2): e2200633120, 2023 01 10.
Article in En | MEDLINE | ID: mdl-36595685
ABSTRACT
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.
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Full text: 1 Database: MEDLINE Main subject: HIV Infections / Acquired Immunodeficiency Syndrome / Sex Workers Type of study: Prognostic_studies Limits: Adult / Female / Humans Country/Region as subject: Africa Language: En Journal: Proc Natl Acad Sci U S A Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: HIV Infections / Acquired Immunodeficiency Syndrome / Sex Workers Type of study: Prognostic_studies Limits: Adult / Female / Humans Country/Region as subject: Africa Language: En Journal: Proc Natl Acad Sci U S A Year: 2023 Type: Article