Literature DB >> 30500610

Mobility and sex work: why, where, when? A typology of female-sex-worker mobility in Zimbabwe.

Calum Davey1, Jeffrey Dirawo2, Phillis Mushati2, Sitholubuhle Magutshwa2, James R Hargreaves3, Frances M Cowan4.   

Abstract

Sex-worker mobility may have implications for health and access to care but has not been described in sub-Saharan Africa. We described sex-worker mobility in Zimbabwe and a mobility typology using data from 2591 and 2839 female sex workers in 14 sites from 2013 and 2016. We used latent class analysis to identify a typology of mobile sex workers. More women travelled for work in 2016 (59%) than in 2013 (27%), usually to find clients with more money (57% of the journeys), spending a median of 21 (2013) and 24 (2016) days away. A five-class mixture model best fitted the data, with 39% women in an infrequent work-mobility class, 21% in a domestic-high-mobility class, 16% in an international-high-mobility class, 16% in an infrequent opportunistic-non-work-mobility class, and 7% who travel with clients. More-mobile classes were better educated; risk behaviours differed by class. Mobility is increasing among sex worker in Zimbabwe, multi-faceted, and not explained by other vulnerabilities.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  HIV; Healthcare; Migration; Mobility; Sex work

Mesh:

Year:  2018        PMID: 30500610     DOI: 10.1016/j.socscimed.2018.11.027

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  6 in total

1.  Mobility for sex work and recent experiences of gender-based violence among female sex workers in Iringa, Tanzania: A longitudinal analysis.

Authors:  Zoé Mistrale Hendrickson; Anna M Leddy; Noya Galai; S Wilson Beckham; Wendy Davis; Jessie K Mbwambo; Samuel Likindikoki; Deanna L Kerrigan
Journal:  PLoS One       Date:  2021-06-03       Impact factor: 3.240

2.  "You need money to get high, and that's the easiest and fastest way:" A typology of sex work and health behaviours among people who inject drugs.

Authors:  Shannon N Ogden; Miriam Th Harris; Ellen Childs; Pablo K Valente; Alberto Edeza; Alexandra B Collins; Mari-Lynn Drainoni; Matthew J Mimiaga; Katie B Biello; Angela R Bazzi
Journal:  Int J Drug Policy       Date:  2021-05-10

3.  Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study.

Authors:  Sungai T Chabata; Elizabeth Fearon; Emily L Webb; Helen A Weiss; James R Hargreaves; Frances M Cowan
Journal:  JMIR Public Health Surveill       Date:  2020-06-15

4.  Exploring the reasons for women to engage in sex work in Tehran, Iran: A qualitative study.

Authors:  Javad Yoosefi Lebni; Seyed Fahim Irandoost; Ali Akbar Dehghan; Arash Ziapour; Bahar Khosravi; Nafiul Mehedi
Journal:  Heliyon       Date:  2021-11-29

5.  No increased HIV risk in general population near sex work sites: A nationally representative cross-sectional study in Zimbabwe.

Authors:  Mariёlle Kloek; Caroline A Bulstra; Sungai T Chabata; Elizabeth Fearon; Isaac Taramusi; Sake J de Vlas; Frances M Cowan; Jan A C Hontelez
Journal:  Trop Med Int Health       Date:  2022-07-04       Impact factor: 3.918

6.  Willingness of female sex workers in Kampala, Uganda to participate in future HIV vaccine trials: a case control study.

Authors:  Yunia Mayanja; Andrew Abaasa; Gertrude Namale; Matt A Price; Anatoli Kamali
Journal:  BMC Public Health       Date:  2020-11-25       Impact factor: 4.135

  6 in total

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