Various studies have associated violence by the police with drug and alcohol use and street prostitution. This was followed by validation of the estimates through interviews with FSW at each spot identified.
Details about the main study have been described previously Gaining number of sex workers in kenya in Moncton better understanding of why clients demand unprotected sex, and how this demand can be mitigated through HIV prevention programming, is critically important to reducing HIV risk to FSWs and the overall HIV epidemic in southern India.
Sexual risk as an outcome of social oppression: data from a probability sample of Latino gay men in three U. Training on the geographic mapping methodology was conducted for field team supervisors, data managers and study site coordinators from each implementing partner; they in turn trained their field teams.
Consistent condom use among FSWs and truckers is still hampered by economic and relationship factors.
Training on the geographic mapping methodology was conducted for field team supervisors, data managers and study site coordinators from each implementing partner; they in turn trained their field teams. Participants provided written informed consent.
Competing interests: The authors have declared that no competing interests exist. Jacqueline Ngina declares that she has no conflict of interest. Positively associated factors number of sex workers in kenya in Moncton FSW attractiveness [ 4 ], duration in sex work [ 3 ], and certain sexual practices eg, anal and oral sex [ 14 ].
Our geographical mapping study captured multiple typologies of sex work spots, many of which may have been omitted in the truck driver study. Perhaps most importantly, methods other than census and enumeration provide population size estimates with limited practical information to guide HIV prevention programming.
Financial support. Sex Transm Infect ; — FSW were analysed further by the type of spot from which they operated.
These women reported abuse by men - clients, boyfriends, partners, and family - and great fear of future victimization. If this was the case, our ability to explore FSWs' and truckers' perspectives from across different categories of FSWs and truckers would be limited as well as our ability to generalize the findings to all truckers and FSWs in Uganda.
A comparison of findings on the associations with health outcomes is hampered by the different outcome measures employed in each study.