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Geospatial Analysis

The Division uses a diverse set of geospatial analytical methods and tools to evaluate population health, measure health care resource adequacy and accessibility, identify gaps between local health needs and available resources, locate at-risk populations, and monitor persistent disparities in health. Ongoing overlay, buffer, network, and spatial statistical analyses performed using ArcGIS, SaTScan, GeoDa, and other software applications all help transform spatial data into actionable information for population health and health services delivery problem-solving and decision-making.

This map depicts a Getis-Ord Gi* "Hot Spot Analysis" of disease burden among South Carolina adult Medicaid recipients measured across a wide spectrum of chronic conditions, including cardiovascular disease, diabetes, end-stage renal disease, hypertension, and obesity. Red areas represent statistically significant clustering of high disease prevalence ZIP Code Tabulation Areas (ZCTAs). Blue areas represent statistically significant clustering of low disease prevalence ZCTAs. Spatial analyses like this one help identify high-risk populations for targeted allocation of limited health care resources. Repeated analyses over time highlight areas of change and aid in the evaluation of population health program effectiveness.