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In Atlanta, Georgia, the estimated HIV prevalence of 46% in black men who have sex with men (MSM) is 3.3-fold higher than in white MSM (13%). Using a dynamic simulation model incorporating race-specific prevention and risk-behavior data, network attributes, and care patterns, investigators sought to identify factors that could account for such a substantial race-based disparity in HIV prevalence.
The model used data from two published studies on HIV disparities between black and white MSM, and an initial simulation determined that race-assortative mixing patterns (in which sexual partners are racially alike) alone could not explain the observed population-level race disparities in HIV incidence among MSM. Low engagement in HIV care and low a…