Individual skill
spatial-epidemiology
Geographic disease analysis — cluster detection, disease mapping, spatial regression, and hotspot surveillance.
skills/spatial-epidemiology/SKILL.md
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## Overview
spatial-epidemiology covers the analysis of disease in geographic space: mapping rates, detecting
clusters, modeling spatial risk factors, and building hotspot surveillance systems. It combines
epidemiologic thinking with GIS and spatial statistics — and it treats the modifiable areal unit
problem and edge effects as first-class concerns, not footnotes.
## When to use
- Mapping disease rates: choropleth maps, smoothed rate maps, uncertainty visualization.
- Cluster detection: SaTScan spatial scan statistics, local Moran's I (LISA).
- Spatial regression: accounting for spatial autocorrelation in risk-factor models.
- Hotspot surveillance: prospective space-time detection for outbreak response.
- Environmental epidemiology: exposure-disease associations with spatial data.