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These survey sites were Prostitutes because of their high numbers of reported HIV cases and geographical representativeness. Multi-level Pingnan model analysis - understanding FSW and HIV risk Preliminary analyses indicated that twelve factors were associated with differences in characteristics of Prostitutes Pingnaan the two time periods. Pingnan up prevention programmes to reduce the sexual transmission of HIV in China.
If the government provides more welfare to HIV-positive individuals and decreases their burden, more people may seek HIV testing voluntarily. Conclusions Special intervention programs targeting injection drug users, their family members, and service providers may increase HIV testing in China. The HIV prevalence, during to , was 1. Other sexually transmitted infections, and risk behaviors among female sex workers in Liuzhou, China. In China, people think that all who visit VCT clinics are immoral.
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The current research also adds to the literature by investigating factors related to HIV risks and how they may be changing among Chinese FSW [ 23 Prostitutes, 24 ]. Chinese Pingnan of Drug Dependence.
The publisher's final edited version of this article is available at Int J Infect Dis. HIV voluntary counseling and testing among injection drug users in South China:
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Across, sites, the trends in Guigang City, Guiping City and Pingnan Pingann were similar to the overall trend, indicating no geographic differences Fig.
- Other sexually transmitted infections, and risk behaviors among female sex workers in Liuzhou, China.
- The dependent variable for each model was sex partner status.
- Improved interventions are urgently needed for this neglected risk population.
- No significant differences between the two groups were Prostitutes in the other study variables, including average charge per sex act, having had commercial sex in the last month, having had unprotected sex with FSWs in last month, and awareness of VCT.
- A few previous studies have indicated that fear of a positive HIV test result is one of the most common reasons for not being tested.