Climate–Neurology Early Warning Framework

An interdisciplinary framework integrating environmental monitoring, predictive modeling, and neurological surveillance to anticipate climate-related brain health risks.

Climate Neurology Framework

The proposal presents four pillars integrating neurological health into climate early warning, offering interdisciplinary insights for researchers and policymakers.

Climate Neurology Framework

Climate Signals
Predictive Modeling
Systems Preparedness
Surveillance & Learning


Satellite and environmental monitoring networks detect heat, pollution, wildfire smoke, and flood exposure signals.


Integrated datasets allow forecasting of lagged neurological risk using climate and health indicators.


Hospitals and public health agencies activate anticipatory preparedness during forecast risk windows.


Real-time clinical data refines predictive models and improves future climate–health forecasting.

Framework in Focus

Climate change is altering environmental exposure patterns with measurable neurological consequences. Emerging evidence links extreme heat, air pollution, wildfire smoke, and infrastructure disruption to increased risks of stroke, seizure exacerbation, and neurovascular instability.

This framework proposes integrating neurological indicators into climate early warning systems to enable anticipatory public health responses.

Poster Highlights

AI-Enabled Integration of Neurological Health into Climate Early Warning Systems
American Academy of Neurology Annual Meeting, Chicago, 2026

Climate–Health Early Warning Resources

The proposed framework aligns with emerging international efforts to integrate health outcomes into climate adaptation and early warning systems.