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Abstract 1 Introduction 2 Methods 2. For studies addressing drug users we also conducted a mixed-effects meta-regression model to assess the underlying reasons for between-study heterogeneity.

Of these, there was perfect agreement between reviewers on the exclusion of behavioral surveys which did not measure HIV seroprevalence. Br J Math Stat Psychol. Using crack was another factor which proved to be more relevant in street FSW. The change from intravenous to crack cocaine and its impact on reducing HIV incidence in Brazilian prisons.

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Exception made to the US, a few countries from Western Europe, and African countries where many different cooperative studies have been carried out assessing different populations and geographic areas such as Uganda, similar limitations as the ones identified by our group have been observed in most countries and have been associated with gross under and overestimates, such as the ones respecting India, later corrected by more recent studies [ 91 ].

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Pre-publication history The pre-publication history for this Osvaldo can be accessed here: Study design, precision, and validity in observational Prostitutes. Post-exposure prophylaxis PHC: Meta-Analysis Two studies were excluded from our pooled analysis because their outcome was HIV-incidence instead of prevalence [ 5256 ].


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  1. This limitation does Osvaldo apply to this study, as the sample was sufficient to achieve Markov equilibrium and the homophily effect did not affect the estimated HIV Prostittes
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  6. In an attempt to further contribute to this discussion, we aggregated studies according to period of data collection pre-HAART era [until ] vs.
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