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.

10 stars

byActiveInferenceInstitute

View on GitHub Installation ↓

Best use case

geo-infer-health is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using geo-infer-health should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/GEO-INFER-HEALTH/SKILL.md --create-dirs "https://raw.githubusercontent.com/ActiveInferenceInstitute/GEO-INFER/main/GEO-INFER-HEALTH/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/GEO-INFER-HEALTH/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How geo-infer-health Compares

Feature / Agent	geo-infer-health	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

```python
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

```python
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`

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