How imperialchepi/healthgps-data works
This is a data repository supplying Health-GPS, with a companion script for converting downloaded source CSVs into the repository’s layout. The principal workflow is formatted input data becoming disease, risk, cost, and population datasets for the Health-GPS program. The tree shows additional disease-specific relative-risk and population-impact-factor collections. Source excerpts are limited, so links describe only capabilities explicit in the README or formatter documentation; the internal runtime wiring and many dataset details are not shown.
Main entry points: format_healthgps_disease_data.py CSV formatter · diseases Disease inputs · cost Cost estimates · undb UNDB datasets
Components 10
Data formatting
- CSV formatter
Scripts to format data/format_healthgps_disease_data.py
Disease data
- Disease inputs
data/diseases - PIF scenarios
data/diseases - Relative risks
data/diseases
Analysis data
- Cost estimates
data/analysis/cost - Analysis parameters
data/analysis
Population data
- Country metadata
data/countries.csv - UNDB datasets
data/undb
Other components
- Source downloads
- Health-GPS
Connections 11
- Source downloads → CSV formatter: provides CSVs
Scripts to format data/format_healthgps_disease_data.py - CSV formatter → Disease inputs: formats disease files
Scripts to format data/format_healthgps_disease_data.py - CSV formatter → Cost estimates: copies cost files
Scripts to format data/format_healthgps_disease_data.py - CSV formatter → UNDB datasets: formats UNDB files
Scripts to format data/format_healthgps_disease_data.py - Disease inputs → Health-GPS: supplies input data
README.md - PIF scenarios → Health-GPS: supplies input data
README.md - Relative risks → Health-GPS: supplies input data
README.md - Cost estimates → Health-GPS: supplies input data
README.md - Analysis parameters → Health-GPS: supplies input data
README.md - Country metadata → Health-GPS: supplies input data
README.md - UNDB datasets → Health-GPS: supplies input data
README.md