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Applications of geospatial data and methods in environmental epidemiology

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Geospatial data and methods are widely integrated with environmental epidemiology and public health research. This talk explores the applications of spatial data and methods in research on environmental epidemiology in urban areas. It provides case studies on the availability and applications of spatial data (e.g., satellite and drone images) and modelling approaches (e.g., coupling systems, machine learning) used to identify and understand environmental patterns and processes. Then, it explores how spatial dimensions (e.g., data-resolution, scale) influence the relationships between environment and health outcomes and discusses emerging approaches used to apply spatial data and methods when focusing on urban greenspace and health.

This talk is part of the MRC Epidemiology and CEDAR Seminars series.

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