Air pollution and health session at RSS September 2014
Published: 31 March 2014
Results from the project to date were presented at an invited session of the annual 2014 Royal Statistical Society (RSS) conference in Sheffield on 2nd September.
The Royal Statistical Society (RSS) annual conference in September 2014 in Sheffield was the location for an invited session entitled “Bayesian spatio-temporal methodology for predicting air pollution and estimating its health effects”. The session was organized by Dr Duncan Lee and Prof Sujit Sahu, and was held under the remit of the Environmental Statistics section of the RSS. It brought together conference delegates interested in quantifying the impact of an environmental exposure on health, which numbered around 35 at the conference. The first talk was given by Paul Agnew of the UK Met Office, focusing on the Air Quality in the Unified Model (AQUM) used to predict air pollution concentrations. The second talk was given by Sabyaschi Mukhopadhyay about fusing modelled and monitored pollution data in space and time, while the last talk was given by Alastair Rushworth about modeling localized smoothness and discontinuities in spatio-temporal health data. Copies of the talks presented are available on the "Deliverables and Outputs" page of this website.
First published: 31 March 2014