WEPDC0105 - Poster Discussion Abstract
If you aren't counted, you don't count: estimating the number of female sex workers in Mandalay and Yangon, Myanmar
Presented by Si Thu Thein (Myanmar).
S.T. Thein1, T. Aung1, H.M. Kyaw1, A. Lancelot1, W. Mcfarland2
1Population Services International/Myanmar, Strategic Information, Yangon, Myanmar, 2San Francisco Department of Public Health, San Francisco, United States
of the size of key affected populations, including female sex workers (FSW),
are necessary for advocacy and for planning, implementation, and evaluation of
HIV prevention and care programs. However, these populations are usually hidden
and hard to reach. This study aims to provide population size estimates (PSE)
of FSW in two most populous cities of Myanmar (Yangon and Mandalay) using multiple
study was conducted in Yangon and Mandalay from October to December 2013.
Time-location cluster sampling was used to recruit 450 FSW in Yangon and 328 in
Mandalay using probability proportionate to size of clusters. Four PSE methods
were applied, including unique object, unique event and service multipliers,
and wisdom of the crowd, to calculate estimates for each city. Adjusted and
unadjusted estimates were used for the multiplier methods and compared.
Estimated proportion of FSW among adult female population in each region was
calculated and compared with the published literature in the region.
Results: Estimates from the methods were consistent with
each other, with medians of ~5000 in Yangon (Range: 3500-7000); and ~3000 in
Mandalay (Range: 1600-4400). Adjusted proportions produced slightly higher
estimates, by ~200-500. The estimated proportion of FSW among the adult female
population (15-49 years) was 0.45% (0.27-0.63%) in Yangon and 0.51% (0.25-0.76%)
in Mandalay, falling within published estimates in Asia region. These estimates
are plausible and have immediate applications for establishing the reach of
current programs and the need for scale up of services for FSW in Myanmar.
[PSE from various multiplier methods]
Conclusions: PSE methods, when applied properly, could
produce plausible size estimates of hidden, hard to reach populations.
Triangulation of data from various sources could produce more reliable results.
These results could provide background data for various HIV prevention and
control activities, especially for hidden populations for which conventional
population data is scarce.
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