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Published on: July 11, 2025
EpiGIS pro: an AI-powered geospatial intelligence platform for integrated disease surveillance and predictive
1Research Computing Centre, The University of Queensland, Brisbane, QLD, Australia. chenxi.guo@uq.edu.au.
International Journal of Health Geographics
|June 17, 2026
Summary
EpiGIS Pro integrates AI, environmental, and mobility data for enhanced global disease surveillance. This platform improves situational awareness and supports cross-domain computational epidemiology research.
Area of Science:
- Computational epidemiology
- Geospatial analytics
- Infectious disease surveillance
Background:
- Global infectious disease surveillance needs integrated, heterogeneous data.
- Existing platforms lack cross-domain correlation capabilities.
- EpiGIS Pro offers a unified AI-powered geospatial platform.
Purpose of the Study:
- To present EpiGIS Pro, an AI-powered geospatial platform.
- To consolidate disease event extraction, environmental monitoring, mobility analysis, and predictive analytics.
- To provide a shared data infrastructure for cross-domain modeling.
Main Methods:
- Modular architecture using Django REST Framework and PostGIS.
- AI-driven automated disease event extraction (Claude AI).
- Integration of environmental, traffic, and flight data; machine learning for forecasting and R_t estimation.
Main Results:
- Integrated 327,000+ records across six data domains.
- Achieved 92.4% success in AI-driven disease event extraction.
- Demonstrated accurate seasonality analysis, improved forecasting, and consistent R_t estimation patterns.
Conclusions:
- EpiGIS Pro enhances global disease surveillance situational awareness.
- The platform's modularity and evaluation framework support practical surveillance and research.
- It serves as a testbed for computational epidemiology.
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