A Bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the Greater London area

In this paper, we present a Bayesian hierarchical model to evaluate the effect of long-range and local range PM10 during air pollution episodes on hospital admissions for cardio-respiratory diseases in Greater London. These episodes in 2003 are matched with the same periods during the previous year, used as a control. A baseline dose—response function is estimated for the controls and carried forward in the episodes, which are characterised by an additional component that estimates their specific effect on the health outcome.

[1]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[2]  John R. Stedman,et al.  The predicted number of air pollution related deaths in the UK during the August 2003 heatwave , 2004 .

[3]  F. Dominici,et al.  Emergency Admissions for Cardiovascular and Respiratory Diseases and the Chemical Composition of Fine Particle Air Pollution , 2009, Environmental health perspectives.

[4]  J. Besag,et al.  Bayesian image restoration, with two applications in spatial statistics , 1991 .

[5]  G. Pratesi,et al.  Saharan dust episodes in Italy: influence on PM10 daily limit value (DLV) exceedances and the related synoptic. , 2009, Journal of environmental monitoring : JEM.

[6]  V. Cachorro,et al.  Characterization of a long range transport pollution episode affecting PM in SW Spain. , 2008, Journal of environmental monitoring : JEM.

[7]  Andrew Thomas,et al.  WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..

[8]  G. M. Hidy,et al.  The Health Relevance of Ambient Particulate Matter Characteristics: Coherence of Toxicological and Epidemiological Inferences , 2006, Inhalation toxicology.

[9]  D. Strachan,et al.  Health effects of an air pollution episode in London, December 1991. , 1995, Thorax.

[10]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[11]  B. Armstrong,et al.  Mortality and temperature in Sofia and London , 2003, Journal of epidemiology and community health.

[12]  Sylvia Richardson,et al.  Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by‐products , 2009 .

[13]  N Künzli,et al.  Public-health impact of outdoor and traffic-related air pollution: a European assessment , 2000, The Lancet.

[14]  Peter Green,et al.  Markov chain Monte Carlo in Practice , 1996 .

[15]  C. A. McHugh,et al.  Use and validation of ADMS-Urban in contrasting urban and industrial locations , 2000 .