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Development of a predictive model for identifying women vulnerable to HIV in Chicago
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, risk f...
Autores principales: | Friedman, Eleanor E., Shankaran, Shivanjali, Devlin, Samantha A., Kishen, Ekta B., Mason, Joseph A., Sha, Beverly E., Ridgway, Jessica P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276380/ https://www.ncbi.nlm.nih.gov/pubmed/37328764 http://dx.doi.org/10.1186/s12905-023-02460-7 |
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