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.
Kristin Aunan