Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa
Authors:
Open Access
- 21 April 2021
- journal article
- research article
- Published by BMJ in BMJ Global Health
- Vol. 6 (4) , e004089
Abstract
Introduction Despite progress towards the Joint United Nations Programme on HIV/AIDS 95-95-95 targets, South Africa is still suffering from one of the largest HIV epidemics globally. In this study, we generated high-resolution HIV prevalence maps and identified people living with HIV (PLHIV) in underserved areas to provide essential information for the optimal allocation of HIV-related services. Methods The data come from the South Africa Demographic and Health Survey conducted in 2016 and spatial variables from other published literature. We produced high-resolution maps of HIV prevalence and underserved areas, defined as a greater than 30 min travel time to the nearest healthcare facility. Using these maps and the population density, we mapped PLHIV and the PLHIV within underserved areas for 30, 60 and 120 min thresholds. Results There was substantial geographic variation in HIV prevalence, ranging from 1.4% to 24.2%, with a median of 11.5% for men, and from 2.1% to 48.1%, with a median of 20.6% for women. Gauteng province showed the highest density for both HIV prevalence and PLHIV. 80% of all areas in the country were identified as underserved areas (30 min threshold), which contained more than 16% and 20% of the total men and women living with HIV, respectively. KwaZulu-Natal province had the largest number of PLHIV in underserved areas (30 min threshold) and showed less than one healthcare facility per 1000 PLHIV. Conclusion Our study showed extensive spatial variation of HIV prevalence and significant numbers of PLHIV in underserved areas in South Africa. Moreover, we identified locations where HIV-related services need to be intensified to reach the ~1.5 million PLHIV in underserved areas, particularly in KwaZulu-Natal province, with less than one healthcare facility per 1000 PLHIV.Keywords
Funding Information
- National Institutes of Health (R01AI124389, R01HD084233)
This publication has 31 references indexed in Scilit:
- People living with HIV travel farther to access healthcare: a population‐based geographic analysis from rural UgandaJournal of the International AIDS Society, 2016
- Spatial analysis of HIV infection and associated individual characteristics in Burundi: indications for effective preventionBMC Public Health, 2015
- Are Geographical “Cold Spots” of Male Circumcision Driving Differential HIV Dynamics in Tanzania?Frontiers in Public Health, 2015
- Using geospatial modelling to optimize the rollout of antiretroviral-based pre-exposure HIV interventions in Sub-Saharan AfricaNature Communications, 2014
- Maximising the effect of combination HIV prevention through prioritisation of the people and places in greatest need: a modelling studyThe Lancet, 2014
- Measuring geographic access to health care: raster and network-based methodsInternational Journal of Health Geographics, 2012
- The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) StatementEpidemiology, 2007
- Modelling and understanding primary health care accessibility and utilization in rural South Africa: An exploration using a geographical information systemSocial Science & Medicine, 2006
- HIV testing in national population-based surveys: experience from the Demographic and Health Surveys2006
- Randomized, Controlled Intervention Trial of Male Circumcision for Reduction of HIV Infection Risk: The ANRS 1265 TrialPLOS Medicine, 2005