Description: This dataset represents the municipal‑level distribution of human disease risk across the study area. It is derived from a multi‑criteria spatial model integrating key environmental and population‑related determinants of disease burden, including reclassified land‑use exposure factors, water quality indicators, population density, land‑based pollution, and air pollution. These factors were combined using a weighted‑sum raster overlay to generate a continuous Human Disease Potential surface. The resulting raster was summarised using zonal statistics for each Local Municipality to produce a municipal‑level Human_Disease score. Additional capacity‑to‑cope indicators were joined to the municipal dataset and used to compute a composite Vulnerability_Risk index. The final dataset enables disaster management practitioners, health analysts, planners, and risk professionals to identify municipalities with elevated human‑disease vulnerability and incorporate this information into multi‑hazard assessments, health‑risk planning, early‑warning systems, and resource‑allocation strategies.
Service Item Id: c9542923faf04a93a7ba726a9b99ab49
Copyright Text: Prepared by: Herman Booysen, Principal GIS Scientist / Associate Partner
Organisation: SRK Consulting
Additional sources:
Environmental pollution rasters (air, land)
Water quality indicators
Population density datasets
Local Municipality boundaries
Internal SRK modelling documentation and multi‑criteria analysis methods
Hazard analysis and interpretation findings contained in:
KZN DRA