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Geographic risk-scoring tools for targeted HIV prevention

This project addresses whether predictive risk-scoring models using spatial co-variates can produce more accurate predictions of HIV seroconversion among young men and women than individual-level attributes alone. We hypothesize that the addition of spatial co-variates will increase the predictive ability of individual-based models to the point where many individual-level co-variates will be superfluous.

Active Dates 
01/01/2019
Faculty Involved