Explore how DHIS2 Climate Tools simplify the integration, processing, harmonization, and automation of climate and environmental data for health forecasting.
Discover core statistical principles essential for modeling climate-sensitive diseases and managing forecast uncertainty.
Discover how climate change reshapes disease patterns and explore the links between weather variability and health risks in vulnerable populations.
Discover how Chap takes you from climate and health data to tested, ready-to-use disease forecasts for DHIS2.
Discover GitHub best practices essential for reproducible climate-health modeling workflows.
Discover how climate data powers health forecasting in our DHIS2 webinar series kickoff.
