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...

Descripción completa

Detalles Bibliográficos
Autores principales: Friedman, Eleanor E., Shankaran, Shivanjali, Devlin, Samantha A., Kishen, Ekta B., Mason, Joseph A., Sha, Beverly E., Ridgway, Jessica P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

Ejemplares similares