Evidence map›Paper›PMID 27421700›Full record

ReviewAnnals of epidemiology2016

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 and 2 more

Abstract readReview
In one paragraph

Review in Annals of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Bayesian Estimation of MSM Population Size in Côte d'Ivoire.Statistics and public policy (Philadelphia, Pa.) · 2019
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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

12 authors.

Sharmistha MishraDivision of Infectious Diseases, Department of Medicine, St. Michael's Hospital, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Ontario, Canada; Department of Infectious Disease Epidemiology, Imperial College, London, UK.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College, London, UK.
Sheree SchwartzCenter for Public Health and Human Rights, Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD.
Chris BeyrerCenter for Public Health and Human Rights, Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD.
James F BlanchardCentre for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Stephen MosesCentre for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Delivette CastorOffice of HIV/AIDS, United States Agency for International Development, Washington, DC.
Nancy Phaswana-MafuyaHIV/AIDS, STI, and Tuberculosis Department, Human Sciences Research Council, Port Elizabeth, South Africa.
Peter VickermanSchool of Social and Community Medicine, Bristol University, Bristol, UK.
Fatou DrameDepartment of Geography, Université Gaston-Berger, St. Louis, Senegal.
Michel AlaryDépartement de médecine sociale et préventive, Centre de recherche du CHU de Québec-Université Laval, Québec, Canada.
Stefan D BaralCenter for Public Health and Human Rights, Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD. Electronic address: sbaral@jhu.edu.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Examining PrEP use, implementation preferences and the potential for social support to improve PrEP delivery and persistence among female sex workers in Durban, South AfricaR01NR016650 · NINR · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2016 to 2020
$3.2M
CIHR 136630-1CIHR 143266-1NIAID NIH HHS P30 AI094189NINR NIH HHS R01 NR016650
6 · The paper itself

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.

Indexed as

Sex WorkersAfrica South of the SaharaCommunicable Disease ControlEvidence-Based MedicineFemaleHealth PromotionHIV InfectionsHumansModels, TheoreticalNeeds AssessmentPrevalenceRisk AssessmentSexual BehaviorUnsafe SexGeneralized HIV epidemicsHIVMathematical modelsPopulation attributable fractionSex workSub-Saharan Africa

Identifiers

PMID27421700
PMCPMC6995646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.