HIV heterogeneity and proximity of homestead to roads in rural South Africa: an exploration using a geographical information system.

objective To describe heterogeneity of HIV prevalence among pregnant women in Hlabisa health district, South Africa and to correlate this with proximity of homestead to roads. methods HIV prevalence measured through anonymous surveillance among pregnant women and stratified by local village clinic. Polygons were created around each clinic, assuming women attend the clinic nearest their home.

Spatial implications of the tuberculosis DOTS strategy in rural South Africa: a novel application of geographical information system and global positioning system technologies.

We used GIS/GPS technology to document and quantify improved access to tuberculosis treatment through a community-based programme in Hlabisa, South Africa. We plotted tuberculosis supervision points used by the district health system in 1991 (programme's first year) and 1996 (programme fully established), and quantified access by using GIS to measure the mean distance from each homestead in the district to hospital, clinics, community health workers (CHW) and volunteer supervisors. While the tuberculosis caseload tripled, the number of community supervision points used increased from 37 in 1991 to 147 in 1996.

GIS/GPS to document increased access to community-based treatment for tuberculosis in Africa. Geographic information system/global positioning system.

Application of geographic information system (GIS) and global positioning system (GPS) technology in the Hlabisa community-based tuberculosis treatment programme documents the increase in accessibility to treatment after the expansion of the service from health facilities to include community workers and volunteers.

Models to predict the intensity of Plasmodium falciparum transmission: applications to the burden of disease in Kenya.

There is an increasing need to provide spatial distribution maps of the clinical burden of Plasmodium falciparum malaria in Africa. Recent evidence suggests that risk groups and the clinical spectrum of severe malaria are related to the intensity of P. falciparum transmission.