Estimating the number of female sex workers in Cote d'Ivoire: results and lessons learned

Bea Vuylsteke, Lazare Sika, Gisele Semde, Camille Anoma, Elise Kacou, Marie Laga

Research output: Contribution to journalA1: Web of Science-articlepeer-review

21 Downloads (Pure)

Abstract

Objective

To report on the results of three size estimations of the populations of female sex workers (FSW) in five cities in Cote d'Ivoire and on operational lessons learned, which may be relevant for key population programmes in other parts of the world.

Methods

We applied three methods: mapping and census, capture-recapture and service multiplier. All were applied between 2008 and 2009 in Abidjan, San Pedro, Bouake, Yamoussoukro and Abengourou.

Results

Abidjan was the city with the highest number of FSW by far, with estimations between 7880 (census) and 13 714 (service multiplier). The estimations in San Pedro, Bouake and Yamoussoukro were very similar, with figures ranging from 1160 (Yamoussoukro, census) to 1916 (San Pedro, capture-recapture). Important operational lessons were learned, including strategies for mapping, the importance of involving peer sex workers for implementing the capture-recapture and the identification of the right question for the multiplier method.

Conclusions

Successful application of three methods to estimate the population size of FSW in five cities in Cote d'Ivoire enabled us to make recommendations for size estimations of key population in low-income countries.

Original languageEnglish
JournalTropical Medicine and International Health
Volume22
Issue number9
Pages (from-to)1112-1118
Number of pages7
ISSN1360-2276
DOIs
Publication statusPublished - 2017

Keywords

  • female sex workers
  • West Africa
  • methods
  • size estimation
  • MIDDLE-INCOME COUNTRIES
  • KEY POPULATIONS
  • SIZE ESTIMATION
  • HIV-INFECTION
  • CAPTURE-RECAPTURE
  • HIGHER RISK
  • MEN
  • PREVENTION
  • ABIDJAN
  • KENYA

Fingerprint

Dive into the research topics of 'Estimating the number of female sex workers in Cote d'Ivoire: results and lessons learned'. Together they form a unique fingerprint.

Cite this