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Geostatistical point process modelling of HIV prevalence using disease progression and CD4 cell count dynamics
Exaverio Chireshe1, Retius Chifurira1, Jesca Mercy Batidzirai2
1Statistics, School of Agriculture and Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Westville Campus, Durban, South Africa.
Iscience
|July 23, 2026
Summary
This study reveals distinct HIV hotspots in KwaZulu-Natal, South Africa, using spatial modeling. Identifying these areas is crucial for targeted HIV prevention and treatment strategies to combat the epidemic.
Area of Science:
- Epidemiology
- Spatial Analysis
- Public Health
Background:
- KwaZulu-Natal is the epicenter of the HIV epidemic, with significant spatial and demographic variations.
- Understanding geographic disparities in HIV burden and disease progression is vital for effective public health interventions.
Purpose of the Study:
- To examine spatial patterns of HIV prevalence and immunologic decline (CD4 cell count) in uMgungundlovu Municipality.
- To identify distinct HIV hotspot areas for targeted public health responses.
Main Methods:
- Bayesian geostatistical models were employed to analyze spatial patterns.
- Geostatistical point-process methods and CD4 cell count dynamics were used to assess HIV prevalence and disease progression.
- Spatial clustering was evaluated using posterior exceedance probabilities.
Main Results:
- Distinct HIV hotspot areas were identified, indicating local variations in HIV risk.
- Spatial modeling revealed significant geographic heterogeneity in HIV prevalence and disease progression.
- CD4 cell count outcomes were analyzed in relation to demographic, socio-economic, and clinical factors.
Conclusions:
- Spatial modeling is valuable for guiding geographically targeted HIV prevention and treatment strategies.
- The findings underscore the importance of addressing local variations in HIV burden for epidemic control.
- Targeted interventions in identified hotspot areas can help mitigate the HIV epidemic in KwaZulu-Natal.
Keywords:
Environmental health
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