Consortium

This project is a research collaboration between the Universities of Glasgow and Southampton and the UK Met Office, and is led by Dr Duncan Lee, Professor Sujit Sahu and Dr Paul Agnew. Details of the team members are given below.

Dr Paul Agnew

Paul manages the Met Office Air Quality and Composition team, which is responsible for delivering the national air quality forecast for the UK. In addition to developing and supporting the air quality model AQUM, the team applies atmospheric composition modelling expertise to a variety of problems including health impacts of air quality and atmospheric pollution modelling.

Dr Duncan Lee

Duncan is a Senior Lecturer in Statistics in the School of Mathematics and Statistics at the University of Glasgow. His research interests are in spatio-temporal statistical epidemiology, focusing on estimating the effects of air pollution on health and modelling the spatio-temporal pattern in disease risk. He is interested in developing new methodology in this area, using Bayesian inferential techniques. Follow me on twitter here.

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Prof Richard Mitchell

Rich Mitchell is Professor of Health and Environment at the Institute for Health and Wellbeing, University of Glasgow.  Rich is an epidemiologist and geographer with a particular focus on the roles which environments can play in creating, maintaining and perhaps reducing inequalities in health. Rich is a co-founder of the Centre for Research on Environment, Society and Health (http://cresh.org.uk), an interdisciplinary and inter-institute centre, focused on exploring how physical and social environments can influence population health, for better and for worse. Rich’s interest in air pollution focuses particularly on inequalities in exposure and effects.

Dr Sabyasachi Mukhopadhyay

Sabyasachi is a research assistant in the School of Mathematics  at the University of Southampton, and is working on Bayesian hierarchical spatio-temporal models for air pollution data. His main interests are in developing spatial and spatio-temporal models for environmental data.

Dr Alastair Rushworth

Alastair is a research assistant in the School of Mathematics and Statistics at the University of Glasgow working on Bayesian hierarchical spatio-temporal models for air pollution and health data. His main interests are in developing spatial and spatio-temporal models for environmental data.

Professor Sujit Sahu

Sujit Sahu is a  Professor of Statistics at the University of
Southampton. He is interested in practical Bayesian modelling and computation for understanding and interpreting big data especially the ones with spatial and temporal correlation. The primary aim of his research is to reduce uncertainty in inferential statements by developing predictive Bayesian models for the quantities of interests.

Dr Christophe Sarran

Christophe Sarran is a senior Science consultant, supporting the health research activities of the Health Programme to achieve its targets and deliver high quality research into the links between weather and health. Specifically, this has included developing the warning service that is delivered to COPD patients, contributing to the development of the cold weather health warning service delivered to the Department of Health, the analysis of seasonal-affective disorder symptoms with respect to luminance related weather variables and the analysis of the impact of air quality on COPD patients' health. Christophe Sarran is currently coordinating the Met Office's health research programme.