Predicting the Risk of Human Immunodeficiency Virus Type 1 (HIV-1) Acquisition in Rural South Africa Using Geospatial Data( )

BACKGROUND: Accurate human immunodeficiency virus (HIV) risk assessment can guide optimal HIV prevention. We evaluated the performance of risk prediction models incorporating geospatial measures. METHODS: We developed and validated HIV risk prediction models in a population-based cohort in South Afr...

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Detalles Bibliográficos
Autores principales: Roberts, D Allen, Cuadros, Diego, Vandormael, Alain, Gareta, Dickman, Barnabas, Ruanne V, Herbst, Kobus, Tanser, Frank, Akullian, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Major Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525068/
https://www.ncbi.nlm.nih.gov/pubmed/35100612
http://dx.doi.org/10.1093/cid/ciac069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525068/
https://www.ncbi.nlm.nih.gov/pubmed/35100612
http://dx.doi.org/10.1093/cid/ciac069

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