The University of Glasgow played host to the second workshop of the Engineering and Physical Sciences Research Council funded project: 'A rigorous statistical framework for estimating the long-term health effects of air pollution', which is run jointly by Professor Sujit Sahu (University of Southampton) and Dr Duncan Lee (University of Glasgow). The workshop was held on 12 September 2014, and was supported by the Environmental Statistics section and the Glasgow local group of the Royal Statistical Society. The workshop attracted an audience of around 65 participants from across industry, government and academia, and had stimulating debate throughout.
The first half of the workshop contained talks about the project and its progress. Rachel McInnes from the UK Met Office discussed the Met Office air quality model and its use in predicting air quality in the future. The second talk, from Sujit Sahu, looked at how pollution concentrations could be predicted by using spatio-temporal statistical methodology and fusing monitoring and modelled pollution data. The final talk in the first half, from Duncan Lee, discussed the statistical problems encountered when estimating the health effects of air pollution and how those problems could be overcome.
The second half of the workshop featured speakers with a range of air pollution and health interests, including Stefan Reis from the Centre for Ecology and Hydrology. Stefan spoke about the integration of modelled and personal monitoring pollution data. The second talk was given jointly by Iain Beverland and Jonathan Gillespie from the University of Strathclyde, focusing on the cohort studies and land-use regression models to estimate air pollution exposure. The final talk was given by Colin Ramsay from Health Protection Scotland, who discussed the epidemiological issues and work on estimating the health impact of air pollution.