Quantifying personal exposure to air pollution with sensor technologies and digital science

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• Lia Chatzidiakou/Rod Jones
• Wednesday 22 November 2023, 19:00-21:00
• Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge.

If you have a question about this talk, please contact Peter Watson.

Air pollution is a leading environmental risk factor for chronic disease and millions of premature deaths every year worldwide. Much of this evidence comes from epidemiological studies that employed networks of outdoor reference monitoring stations to provide indications of the effects of ambient air pollution on population health. However, as individuals move between different, highly heterogeneous microenvironments that are mainly situated indoors, outdoor static measurements become potentially poor metrics of actual personal exposure, leading in many cases to bias and error in health estimations. We develop miniaturised multi-pollutant portable sensors and computational models to improve associations between personal exposure and health outcomes.

This talk is part of the Cambridge Statistics Discussion Group (CSDG) series.

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