The interconnections between climate, environment, and human health are becoming increasingly apparent, as climate change poses growing threats to public welfare worldwide. Rising temperatures, more frequent and intense extreme weather events (e.g., heatwaves, floods, droughts), and environmental stressors such as air pollution, degraded ecosystems, or shifting land use patterns have direct and indirect impacts on population health. Climate-related changes also affect the distribution of vector- and waterborne diseases, contribute to the severity of wildfires, and influence mental and physical health outcomes.
Addressing these multifaceted challenges requires close collaboration between disciplines, bringing together climate scientists, epidemiologists, environmental and public health researchers, as well as social scientists. This session provides a platform for presenting recent advances in understanding and quantifying environment- and climate-related health risks through the integration of diverse data sources, including remote sensing, environmental monitoring, climatological measurements, health records, and socio-demographic information.
We welcome contributions that explore methods to assess climate-sensitive exposures (e.g., heat, air pollution, allergens), model health impacts across different temporal and spatial scales, develop risk maps, and evaluate adaptation or mitigation strategies. Approaches using machine learning, statistical modelling, scenario analysis, and other innovative tools are encouraged. Both empirical studies and methodological advances, whether focused on local, regional, or global scales, are invited. The session aims to foster cross-sectoral exchange and support the development of data-driven strategies for climate-resilient and equitable public health.