Improving HIV case finding using spatial data infrastructures in Anambra State, Nigeria: a pre-post intervention study.

ABSTRACT:

Background

The heightened HIV prevalence in Nigeria is partly associated with challenges in accessing people living with HIV in geographically isolated and unidentified regions. Spatial Data Infrastructure (SDI) is an innovation that has shown promise for HIV case-finding in unidentified settlements. This study reports the use of SDI to improve HIV case identification in Anambra North Senatorial District, Nigeria.

Methods

This study utilised a pre-post intervention study design to analyse data from the implementation of HIV testing services (HTS). Settlements for HTS were identified in the district using SDIs, such as microplans and hotspot maps. Community teams captured areas' names and geolocations using a custom application. Geographical Information Systems technology was

SUBMITTER: Ukueku KO 

PROVIDER: S-EPMC11823078 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature