Spatial analysis of factors associated with HIV infection in Malawi: indicators for effective prevention.

ABSTRACT:

Background

The objective of this study was to model the predictors of HIV prevalence in Malawi through a complex sample logistic regression and spatial mapping approach using the national Demographic and Health Survey datasets.

Methods

We conducted a secondary data analysis using the 2015-2016 Malawi Demographic and Health Survey and AIDS Indicator Survey. The analysis was performed in three stages while incorporating population survey sampling weights to: i) interpolate HIV data, ii) identify the spatial clusters with the high prevalence of HIV infection, and iii) perform a multivariate complex sample logistic regression.

Results

In all, 14,779 participants were included in the analysis with an overall HIV prevalence of 9% (7.0% in males and 10.8% in females). The hi

SUBMITTER: Nutor JJ 

PROVIDER: S-EPMC7382788 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature