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Our objective was to estimate the size of FSWs within hotspots of Cameroon. A programmatic mapping was used, consisting of interviews with secondary key informants KI to identify hotspots of FSWs and their respective estimated numbers. Validation of size estimates was done by interviews with FSW at each hotspot. Size estimations in the councils mapped were extended to others not mapped using a Poisson regression model. The variability of estimates among cities was also observed within the councils of each city.
The national predicted estimate of FSW population was , ,—, , covering all councils of Cameroon. An estimate of 1. There are considerable numbers of FSW in major cities in Cameroon. There is a need to prioritize interventions for HIV prevention toward this population in order to limit the burden of HIV sexual transmission nationwide.
Editor: Kimberly A. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data are legally and ethically restricted from public sharing. Rue Henry Dunant. Funding: This study was conducted through the financial support of the World Bank Group. The founder had no role in designing, implementing, analysing and in the decision for publication. Competing interests: The authors have declared that no competing interests exist.
An analysis of 16 SSA countries showed a pooled prevalence of In Cameroon, HIV prevalence is 3. With a It has thus become essential to quantify the size of FSWs for effective planning, monitoring and evaluation of programmatic impacts nationwide.