Ontology highlight
ABSTRACT: Objective
Although geographically specific data can help target HIV prevention and treatment strategies, Nigeria relies on national- and state-level estimates for policymaking and intervention planning. We calculated sub-state estimates along the HIV continuum of care in Nigeria.Design
Using data from the Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) (July-December 2018), we conducted a geospatial analysis estimating three key programmatic indicators: prevalence of HIV infection among adults (aged 15-64 years); antiretroviral therapy (ART) coverage among adults living with HIV; and viral load suppression (VLS) rate among adults living with HIV.Methods
We used an ensemble modeling method called stacked generalization to analyze available covariates and a geost
SUBMITTER: O'Brien-Carelli C
PROVIDER: S-EPMC9176772 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature