Evidence map›Paper›PMID 36595685›Full record

ReviewProceedings of the National Academy of Sciences of the United States of America2023

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

Ian Laga, Xiaoyue Niu, Katherine Rucinski, Stefan Baral, Amrita Rao, David Chen, Nikita Viswasam, Nancy Refilwe Phaswana-Mafuya, Daouda Diouf, Keith Sabin and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. The illegal market for sex in the United States: Insights from economic research.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 9 institutions in 5 countries.

Ian LagaMontana State University, Bozeman, MT 59717.
Xiaoyue NiuPennsylvania State University, University Park, PA 16802.
Katherine RucinskiJohns Hopkins University, Baltimore, MD 21205.ORCID 0000-0002-9858-5953
Stefan BaralJohns Hopkins University, Baltimore, MD 21205.
Amrita RaoJohns Hopkins University, Baltimore, MD 21205.ORCID 0000-0002-9596-2418
David ChenPennsylvania State University, University Park, PA 16802.
Nikita ViswasamUniversity of Maryland, College Park, MD 20742.
Nancy Refilwe Phaswana-MafuyaSouth 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.
Daouda DioufEnda Santé, Dakar 3370, Senegal.
Keith SabinThe Joint United Nations Programme on HIV/AIDS, Geneva 1211, Switzerland.ORCID 0000-0002-2290-8621
Jinkou ZhaoThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva 1218, Switzerland.ORCID 0000-0001-9184-3385
Jeffrey W EatonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0001-7728-728X
Le BaoPennsylvania State University, University Park, PA 16802.ORCID 0000-0003-0191-5918
Johns Hopkins University · USPennsylvania State University · USEnvironment and Development Action Third World · SNGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHImperial College London · GBJoint United Nations Programme on HIV/AIDS · CHMontana State University · USSouth African Medical Research Council · ZAUniversity of Maryland, College Park · US

Funding

Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV EpidemicsR01AI170249 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2022 to 2025
$2.9M
Implementation Research to Optimize ART Delivery for Adolescents and Young Adults Living with HIVK01MH129226 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Katherine B Rucinski · 2022 to 2026
$792k
Medical Research Council MR/R015600/1NIAID NIH HHS R01 AI136664NIAID NIH HHS R01 AI170249NIMH NIH HHS K01 MH129226
6 · The paper itself

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.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsSex WorkersAdultAfrica South of the SaharaBayes TheoremFemaleHumansBayesian hierarchical modelkey populationssize estimates

Identifiers

PMID36595685
PMCPMC9926247
OpenAlexW4313528577

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.