Ontology highlight
ABSTRACT: Background
Women in Africa disproportionately acquire human immunodeficiency virus type 1 (HIV-1). Understanding which women are most likely to acquire HIV-1 can guide focused prevention with preexposure prophylaxis (PrEP). Our objective was to identify women at the highest risk of HIV-1 and estimate PrEP efficiency at different sensitivity levels.Methods
Nationally representative data were collected from 2015 through 2019 from 15 population-based household surveys. This analysis included women aged 15-49 who tested HIV-1 seronegative or had recent HIV-1. Least absolute shrinkage and selection operator regression models were fit with 28 variables to predict recent HIV-1. Models were trained on the full population and internally cross-validated. Performance was evaluated usi
SUBMITTER: Rosenberg NE
PROVIDER: S-EPMC11581698 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature