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omerkahveciuf edited this page Dec 4, 2025
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Welcome to the Exposome Geocoder Tool documentation. This toolkit enables researchers to geocode patient location data and link it with environmental and social determinant datasets for comprehensive exposure analysis.
Note: This toolkit does not require or share any Protected Health Information (PHI).
The Exposome Geocoder Tool is a reproducible workflow that:
- Converts patient addresses or coordinates into Census Tract (FIPS 11-digit) identifiers
- Links geocoded data with exposome datasets for environmental exposure analysis
- Supports integration with OMOP Common Data Model (CDM)
- Enables GIS-based linkage with social determinants of health (SDoH) indices
- Multiple Input Formats: Supports addresses, coordinates, and OMOP CDM data
- Docker-Based: Uses containerized DeGAUSS toolkit for reproducible geocoding
- Privacy-First: All geocoding happens locally - no PHI shared externally
- Comprehensive: Links with ADI, SVI, AHRQ, and other SDoH indices
- Flexible: Works with CSV files or direct database connections
The geocoding and linkage workflow consists of these main steps:
- Input Preparation: Prepare your address, coordinate, or OMOP data
- Running the Geocoder: Execute geocoding to generate FIPS codes
- Understanding Outputs: Interpret geocoded results and FIPS codes
- GIS Linkage: Link geocoded data with SDoH indices using PostGIS
Recent sessions covering this workflow:
- [08-07-25] Integration of GIS and SDoH data with OMOP (Video | Transcript)
- [09-18-25] Processing OMOP location_history table (Video | Transcript)
- [09-25-25] End-to-end demo for GIS data with OMOP (Video | Transcript)
- [10-16-2025] End-to-end demo with address/latlong (Video | Transcript)
This workflow uses two Docker containers:
-
Exposome Geocoder Container (
prismaplab/exposome-geocoder:1.0.3)- Converts addresses/coordinates to Census Tract (FIPS) codes
- Uses DeGAUSS backend for geocoding
-
Exposome Linkage Container (
ghcr.io/chorus-ai/chorus-postgis-sdoh:main)- Integrates geocoded outputs with SDoH datasets
- Produces analysis-ready
EXTERNAL_EXPOSURE.csvfile
- Questions? Contact: ic3-center@ufl.edu
- Repository: https://github.com/bihorac-LAB/EnvironmentalData
- License: MIT License