J F Blanchard1, A Khan, A Bokhari. 1. Department of Community Health Sciences, University of Manitoba, 750 Bannatyne Avenue, Winnipeg, Manitoba, Canada. james_blanchard@umanitoba.ca
Abstract
OBJECTIVES: To describe the size and distribution of female sex worker (FSW) populations and the distribution of client-FSW encounters in seven major cities of Pakistan. METHODS: Mapping of FSWs was done using a two-stage process of identifying and validating locations where FSWs solicit and/or meet clients, estimating the size of the FSW population at each location and describing the type of sex work. A sample survey of FSWs was conducted to collect data on sociodemographic and behavioural data. Survey data on client volume were analysed to assess the distributional inequality of client sexual encounters in each of these cities. The overall distributional inequality in client-sex worker encounters across the entire FSW population within a city was assessed by drawing Lorenz curves and computing the Gini coefficient. RESULTS: A total of 34 480 FSWs (40% street-based, 57.5% home-based and 2% brothel-based) were mapped in the seven cities. Of these, 2869 participated in behavioural and biological surveys. The median age of FSWs surveyed was 26 years with sexual debut at 18 years. The contribution of different types of FSWs to the total client volume differed substantially between cities, with the contribution of home-based FSWs ranging from 32% to 75%. The overall distributional inequality in client volume also varied substantially between cities, with the Gini coefficient ranging from 0.22 (low inequality) to 0.50 (high inequality). CONCLUSIONS: The relative size and distribution of sex workers and the sex worker-client patterns differs considerably in cities of Pakistan. Programmes should be planned and implemented accordingly.
OBJECTIVES: To describe the size and distribution of female sex worker (FSW) populations and the distribution of client-FSW encounters in seven major cities of Pakistan. METHODS: Mapping of FSWs was done using a two-stage process of identifying and validating locations where FSWs solicit and/or meet clients, estimating the size of the FSW population at each location and describing the type of sex work. A sample survey of FSWs was conducted to collect data on sociodemographic and behavioural data. Survey data on client volume were analysed to assess the distributional inequality of client sexual encounters in each of these cities. The overall distributional inequality in client-sex worker encounters across the entire FSW population within a city was assessed by drawing Lorenz curves and computing the Gini coefficient. RESULTS: A total of 34 480 FSWs (40% street-based, 57.5% home-based and 2% brothel-based) were mapped in the seven cities. Of these, 2869 participated in behavioural and biological surveys. The median age of FSWs surveyed was 26 years with sexual debut at 18 years. The contribution of different types of FSWs to the total client volume differed substantially between cities, with the contribution of home-based FSWs ranging from 32% to 75%. The overall distributional inequality in client volume also varied substantially between cities, with the Gini coefficient ranging from 0.22 (low inequality) to 0.50 (high inequality). CONCLUSIONS: The relative size and distribution of sex workers and the sex worker-client patterns differs considerably in cities of Pakistan. Programmes should be planned and implemented accordingly.
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