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Data and methods to characterize the role of sex work and to inform sex work programs in generalized HIV epidemics: evidence to challenge assumptions

  • Sharmistha Mishra
  • , Marie Claude Boily
  • , Sheree Schwartz
  • , Chris Beyrer
  • , James F. Blanchard
  • , Stephen Moses
  • , Delivette Castor
  • , Nancy Phaswana-Mafuya
  • , Peter Vickerman
  • , Fatou Drame
  • , Michel Alary
  • , Stefan D. Baral
  • University of Toronto
  • Imperial College London
  • Johns Hopkins University
  • University of Manitoba
  • Centers for Disease Control and Prevention
  • Human Sciences Research Council South Africa
  • University of Bristol
  • Université Gaston Berger
  • Université Laval

Research output: Contribution to journalReview articlepeer-review

36 Citations (Scopus)

Abstract

In the context of generalized human immunodeficiency virus (HIV) epidemics, there has been limited recent investment in HIV surveillance and prevention programming for key populations including female sex workers. Often implicit in the decision to limit investment in these epidemic settings are assumptions including that commercial sex is not significant to the sustained transmission of HIV, and HIV interventions designed to reach “all segments of society” will reach female sex workers and clients. Emerging empiric and model-based evidence is challenging these assumptions. This article highlights the frameworks and estimates used to characterize the role of sex work in HIV epidemics as well as the relevant empiric data landscape on sex work in generalized HIV epidemics and their strengths and limitations. Traditional approaches to estimate the contribution of sex work to HIV epidemics do not capture the potential for upstream and downstream sexual and vertical HIV transmission. Emerging approaches such as the transmission population attributable fraction from dynamic mathematical models can address this gap. To move forward, the HIV scientific community must begin by replacing assumptions about the epidemiology of generalized HIV epidemics with data and more appropriate methods of estimating the contribution of unprotected sex in the context of sex work.

Original languageEnglish
Pages (from-to)557-569
Number of pages13
JournalAnnals of Epidemiology
Volume26
Issue number8
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Keywords

  • Generalized HIV epidemics
  • HIV
  • Mathematical models
  • Population attributable fraction
  • Sex work
  • Sub-Saharan Africa

ASJC Scopus subject areas

  • Epidemiology

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