{
 "culture": "en-ZA",
 "name": "",
 "guid": "",
 "catalogPath": "",
 "snippet": "The purpose of this dataset is to provide a spatially standardised representation of human\u2011disease risk at the municipal scale. It supports public\u2011health risk profiling, vulnerability assessments, multi\u2011hazard analysis, and the prioritisation of mitigation interventions in areas affected by environmental pollution, population\u2011driven exposure, and reduced capacity to manage disease outbreaks. The dataset ensures a consistent, evidence\u2011based foundation for informing disaster management planning, health surveillance programmes, resilience strategies, and municipal\u2011level decision\u2011making.",
 "description": "<div style=\"font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;\">This dataset represents the municipal\u2011level distribution of human disease risk across the study area. It is derived from a multi\u2011criteria spatial model integrating key environmental and population\u2011related determinants of disease burden, including reclassified land\u2011use exposure factors, water quality indicators, population density, land\u2011based pollution, and air pollution. These factors were combined using a weighted\u2011sum 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\u2011level <strong>Human_Disease<\/strong> score. Additional capacity\u2011to\u2011cope indicators were joined to the municipal dataset and used to compute a composite <strong>Vulnerability_Risk<\/strong> index. The final dataset enables disaster management practitioners, health analysts, planners, and risk professionals to identify municipalities with elevated human\u2011disease vulnerability and incorporate this information into multi\u2011hazard assessments, health\u2011risk planning, early\u2011warning systems, and resource\u2011allocation strategies.<\/div>",
 "summary": "The purpose of this dataset is to provide a spatially standardised representation of human\u2011disease risk at the municipal scale. It supports public\u2011health risk profiling, vulnerability assessments, multi\u2011hazard analysis, and the prioritisation of mitigation interventions in areas affected by environmental pollution, population\u2011driven exposure, and reduced capacity to manage disease outbreaks. The dataset ensures a consistent, evidence\u2011based foundation for informing disaster management planning, health surveillance programmes, resilience strategies, and municipal\u2011level decision\u2011making.",
 "title": "LDR.SRK_Munic_Human_Disease_Risk",
 "tags": [
  "Human Disease",
  "Vulnerability",
  "Public Health",
  "Pollution",
  "Water Quality",
  "Population Density",
  "Multi\u2011Criteria Analysis",
  "Weighted Overlay",
  "Zonal Statistics",
  "Hazard Mapping",
  "Municipality",
  "South Africa",
  "GIS"
 ],
 "type": "",
 "typeKeywords": [],
 "thumbnail": "",
 "url": "",
 "minScale": "NaN",
 "maxScale": "NaN",
 "spatialReference": "",
 "accessInformation": "Prepared by: Herman Booysen, Principal GIS Scientist / Associate Partner\nOrganisation: SRK Consulting\nAdditional sources:\n\nEnvironmental pollution rasters (air, land)\nWater quality indicators\nPopulation density datasets\nLocal Municipality boundaries\nInternal SRK modelling documentation and multi\u2011criteria analysis methods\nHazard analysis and interpretation findings contained in:\nKZN DRA",
 "licenseInfo": "<div style=\"font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;\">This dataset is intended for public\u2011health and disaster\u2011risk assessment, strategic planning, hazard profiling, and municipal vulnerability analysis.<br>It is <strong>not suitable for clinical decision\u2011making or fine\u2011scale epidemiological modelling<\/strong> without additional field studies or verified health datasets.<\/div>",
 "portalUrl": ""
}