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Data are legally and ethically restricted from public sharing. Rue Henry Dunant. 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. 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.
Such information is critical for decision-making and for effective HIV prevention for FSWs both at the macro and micro levels. Although there have been attempts to estimate the size of FSWs in Cameroon, the findings were on one hand limited to selected areas in cities at the macro level [ 9 ]. Although helpful for gathering particular information, these previous approaches are unable to provide reliable size estimates.
However, methods that estimate population sizes census and enumeration, nomination techniques, multiplier methods, capture recapture do not adequately describe the distribution and locations of populations in a geographical context [ 10 ]. On the other hand, efficient programming requires information on the estimated population size for FSWs at the aggregate level as well as granular information at the local level.