Linking Climate Data and Health Data
About
This seminar introduces approaches for linking climate datasets with whole-population health records to generate actionable evidence for public health. Focusing on cardiovascular outcomes, it covers exposure definitions (e.g., temperature, heatwaves, humidity, floods), temporal/spatial alignment, bias and confounding, and data governance and privacy.
Key Topics
- Integrating climate and environmental datasets with NHS health records
- Exposure metrics, lags, and spatial alignment
- Opportunities for population-level research and policy impact
- Methodological and governance challenges
- Current projects and future directions in climate-health analytics
Speaker
Alexia Sampri, PhD, Research Associate in Health Data Science, University of Cambridge.
Alexia Sampri is a health data scientist with a background in environmental engineering and big data. Her research uses linked administrative and clinical datasets to study population health—especially cardiovascular disease—in relation to climate and environmental risks. She works at the interface of data science, machine learning and policy to support equitable, health-responsive climate action.
Highlights
- Expert perspective: Methods and real-world use cases for climate–health linkage
- Interactive Q&A: Discuss design choices, pitfalls, and implementation
- Flexible format: Attend at Geocentrum or online via Zoom