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Lancaster Medical School

Part of the Faculty of Health and Medicine

Research in the CHICAS group

Exposure estimation

Spatial Epidemiology

Reliably estimating exposure to environmental factors is a key component of many epidemiological studies. Exposure can either be estimated at the ecological, or group, level, or at the individual level

Our work in this area encompasses developing models for exposure to environmental factors based on routinely recorded data, for example measurerements obtained from air pollution monitoring systems. Where accurate individual-level data are not available, proxy variables such as land use, traffic intensity, distance to a point source, or outputs from mathematical pollution dispersion models can be used to refine estimates.

Recent work in this area includes assessing exposure to particulate matter in a historical cohort study (with Newcastle University) and modelling radon exposure in Winnipeg, Canada (mean and variance of radon estimates pictured above).