Evidence map›Paper›PMID 28225822›Full record

ArticlePloS one2017

A reconfiguration of the sex trade: How social and structural changes in eastern Zimbabwe left women involved in sex work and transactional sex more vulnerable.

Jocelyn Elmes, Morten Skovdal, Kundai Nhongo, Helen Ward, Catherine Campbell, Timothy B Hallett, Constance Nyamukapa, Peter J White, Simon Gregson

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Frontiers in reproductive health · 2020
    Article
  7. Article
  8. Article
  9. Contextual drivers of HIV risk among young African women.Journal of the International AIDS Society · 2019
    Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

9 authors.

Jocelyn ElmesDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Morten SkovdalDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Kundai NhongoBiomedical Research and Training Institute, Harare, Zimbabwe.
Helen WardDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Catherine CampbellDepartment of Psychological and Behavioural Science, London School of Economics and Political Science, London, United Kingdom.
Timothy B HallettDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Constance NyamukapaDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Peter J WhiteDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
Simon GregsonDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.

Funding

Medical Research Council MR/K010174/1Wellcome Trust
6 · The paper itself

Abstract

Understanding the dynamic nature of sex work is important for explaining the course of HIV epidemics. While health and development interventions targeting sex workers may alter the dynamics of the sex trade in particular localities, little has been done to explore how large-scale social and structural changes, such as economic recessions-outside of the bounds of organizational intervention-may reconfigure social norms and attitudes with regards to sex work. Zimbabwe's economic collapse in 2009, following a period (2000-2009) of economic decline, within a declining HIV epidemic, provides a unique opportunity to study community perceptions of the impact of socio-economic upheaval on the sex trade. We conducted focus group discussions with 122 community members in rural eastern Zimbabwe in January-February 2009. Groups were homogeneous by gender and occupation and included female sex workers, married women, and men who frequented bars. The focus groups elicited discussion around changes (comparing contemporaneous circumstances in 2009 to their memories of circumstances in 2000) in the demand for, and supply of, paid sex, and how sex workers and clients adapted to these changes, and with what implications for their health and well-being. Transcripts were thematically analyzed. The analysis revealed how changing economic conditions, combined with an increased awareness and fear of HIV-changing norms and local attitudes toward sex work-had altered the demand for commercial sex. In response, sex work dispersed from the bars into the wider community, requiring female sex workers to employ different tactics to attract clients. Hyperinflation meant that sex workers had to accept new forms of payment, including sex-on-credit and commodities. Further impacting the demand for commercial sex work was a poverty-driven increase in transactional sex. The economic upheaval in Zimbabwe effectively reorganized the market for sex by reducing previously dominant forms of commercial sex, while simultaneously providing new opportunities for women to exchange sex in less formal and more risky transactions. Efforts to measure and respond to the contribution of sex work to HIV transmission need to guard against unduly static definitions and consider the changing socioeconomic context and how this can cause shifts in behavior.

Indexed as

PovertySex WorkSex WorkersAdolescentAdultFemaleFocus GroupsHIV InfectionsHumansMaleMiddle AgedSocioeconomic FactorsYoung AdultZimbabwe

Identifiers

PMID28225822
PMCPMC5321466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.