ActiveInferenceInstitute

geo-infer-health

Spatial epidemiology and public health analysis. Use when modeling disease spread, analyzing health disparities, performing spatial health risk assessment, building epidemiological surveillance systems, or assessing healthcare accessibility.

ActiveInferenceInstitute 15 2 Updated 6mo ago

Resources

11
GitHub

Install

npx skillscat add activeinferenceinstitute/geo-infer/geo-infer-health

Install via the SkillsCat registry.

About this skill

The geo-infer-health skill provides tools for spatial epidemiology and public health analysis, enabling modeling of disease spread, assessment of health disparities, risk evaluation, surveillance, and healthcare accessibility. It is used by developers building epidemiological models or analysts needing spatial health assessments.

SKILL.md

GEO-INFER-HEALTH

Instructions

Core Capabilities

  • Spatial epidemiology: Disease clustering (SaTScan), hotspot detection, SIR/SEIR spatial models
  • Health disparities: Accessibility analysis, equity mapping, deprivation indices
  • Risk assessment: Environmental health risk, exposure modeling
  • Surveillance: Real-time epidemiological monitoring, early warning systems
  • Accessibility: Hospital catchment areas, travel time to care, coverage gaps
  • Data validation: Coordinate precision checks (flags >6 decimal places as suspect)

Key Imports

from geo_infer_health.core.epidemiology import EpidemiologicalModel
from geo_infer_health.core.risk_assessment import HealthRiskAssessor
from geo_infer_health.core.accessibility import HealthcareAccessAnalyzer
from geo_infer_health.utils.advanced_geospatial import SpatialValidator

Examples

from geo_infer_health.core.epidemiology import EpidemiologicalModel

model = EpidemiologicalModel(disease_type="infectious")
clusters = model.detect_clusters(cases_gdf, method="satscan")
risk_surface = model.compute_risk_surface(clusters, population_raster)

Guidelines

  • Coordinate validation checks for unrealistic precision (>6 decimal places)

Integrations

  • Integrates with SPACE for H3-based health district tessellation
  • Integrates with TRANSPORT for healthcare accessibility travel times
  • Test: uv run python -m pytest GEO-INFER-HEALTH/tests/ -v

Categories