Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.

ABSTRACT: BACKGROUND:National or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals. METHODS:We apply the HPE methodology to combine the 2011 Uganda AIDS indicator

SUBMITTER: Ouma J 

PROVIDER: S-EPMC7092592 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature