Capture-recapture for estimating the size of the female sex worker population in three cities in Cote d'Ivoire and in Kisumu, western Kenya

B Vuylsteke, H Vandenhoudt, L Langat, G Semde, J Menten, F Odongo, A Anapapa, L Sika, A Buvé, M Laga

    Research output: Contribution to journalA1: Web of Science-article

    Abstract

    Objective To estimate the female sex worker population size in three cities in Cote d'Ivoire and in Kisumu, Kenya. Methods Capture-recapture was used, calculating size estimates by first 'tagging' a number of individuals and, through an independent recapture, calculating the proportion of overlap. The same procedures were used in all four cities. In the first phase, members of the target population were 'captured' and 'marked' by giving them a capture card. Six days later, in the same places and at the same time, a second sample was 'captured', which comprised a certain number of people who were captured in the first round. During the exercise, questions were asked to estimate the coverage of the sex worker clinics. Results Using capture-recapture, the estimated number of female sex workers was 1160 in Yamoussoukro (95% CI 1053-1287), 1202 in Bouake (95% CI 1128-1279), 1916 in San Pedro (95% CI 1809-2030) and 1350 in Kisumu (95% CI 1261-1443). The proportion of female sex workers in Cote d'Ivoire who had visited the clinic ranged from 15% in Yamoussoukro to 30% in San Pedro and was 34% in Kisumu. Conclusions Capture-recapture was successfully applied to estimate the population size of female sex workers. These estimations were urgently needed to help mobilize an increased response to HIV, to assess programme coverage and to estimate potential impact of the targeted intervention.
    Original languageEnglish
    JournalTropical Medicine and International Health
    Volume15
    Issue number12
    Pages (from-to)1537-1543
    Number of pages7
    ISSN1360-2276
    DOIs
    Publication statusPublished - 2010

    Keywords

    • B780-tropical-medicine
    • Viral diseases
    • HIV
    • AIDS
    • Prevention programs
    • Coverage
    • Risk groups
    • Prostitutes
    • Women
    • Targeted approach
    • Estimation
    • Mathematical modeling
    • Mapping
    • Identification
    • C“te d'Ivoire
    • Africa-West
    • Kenya
    • Africa-East

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