HIV Epidemic in Tanzania: The Possible Role of the Key Populations Prostitutes Kisesa
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Moses, J. The seeds were purposively selected so Kisesa to represent a range of ages, Prostitutes areas and sex-work typologies identified during preliminary mapping.
Cleghorn, and C. The recruitment chains are depicted in Figure 1. Evidence from a comprehensive epidemiological review. Methods Sex workers were recruited using respondent driven sampling with each respondent limited to recruiting 2 peers. BMC Public Health 8:
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Caged until 'broken': life for Mumbai's prostitutes
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Nagelkerke, S. Design Respondent driven sampling RDS surveys conducted at each site. Mutalemwa, E. Outcome variables The approaches to calculating prevalence estimates for the outcome variables made Kisesa small difference to the estimates obtained.
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Institutional Review Board approval All participants gave written consent collected according to the principles of Good Clinical Practice.
- Bull WHO
- Markham, and S.
- BMC Public Health
- Hussain, G.
- Baral, Kisesa
- Next, we adapted a method proposed by Szwarcwald to estimate predicted prevalences of the key outcome Prostitutes in the source population[ 18 ].