Novel Methods to Estimate HIV Population Attributable Fraction of Key Populations
Project Dates: June 2014 - May 2016
Principal Investigator: Stefan Baral,
Co-Investiagtor: Sheree Schwartz
Description: The goal of the study is to advance knowledge of the extent to which HIV transmission overall in the population is related to key populations, and to standardize approaches for estimating the relative vulnerabilities within key populations. This study aims to estimate the population attributable fraction (PAF) of HIV from key populations using detailed epidemiological and population size estimation data and sequence data. Through mathematical HIV transmission dynamic modeling, this study aims to estimate the short to long-term PAF of FSW, their clients, and MSM to overall HIV transmission in Dakar, Senegal at different epidemic time points. The added value of different types of data on PAF estimates of HIV from key populations will also be determined through this study.
Partners: Enda-Santé and Gaston-Berger University
Funding Source: National Institutes of Health (NIH)/ President’s Emergency Plan for AIDS Relief (PEPFAR) supplement