Development of a predictive model for identifying women vulnerable to HIV in Chicago

Abstract Introduction Researchers in the United States have created several models to predict persons most at risk for HIV. Many of these predictive models use data from all persons newly diagnosed with HIV, the majority of whom are men, and specifically men who have sex with men (MSM). Consequently...

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Bibliographic Details
Main Authors: Eleanor E. Friedman (Author), Shivanjali Shankaran (Author), Samantha A. Devlin (Author), Ekta B. Kishen (Author), Joseph A. Mason (Author), Beverly E. Sha (Author), Jessica P. Ridgway (Author)
Format: Book
Published: BMC, 2023-06-01T00:00:00Z.
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