Document Detail

A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London.
MedLine Citation:
PMID:  25113589     Owner:  NLM     Status:  In-Data-Review    
It has long been known that air pollution is harmful to human health, as many epidemiological studies have been conducted into its effects. Collectively, these studies have investigated both the acute and chronic effects of pollution, with the latter typically based on individual level cohort designs that can be expensive to implement. As a result of the increasing availability of small-area statistics, ecological spatio-temporal study designs are also being used, with which a key statistical problem is allowing for residual spatio-temporal autocorrelation that remains after the covariate effects have been removed. We present a new model for estimating the effects of air pollution on human health, which allows for residual spatio-temporal autocorrelation, and a study into the long-term effects of air pollution on human health in Greater London, England. The individual and joint effects of different pollutants are explored, via the use of single pollutant models and multiple pollutant indices.
Alastair Rushworth; Duncan Lee; Richard Mitchell
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Publication Detail:
Type:  Journal Article     Date:  2014-07-15
Journal Detail:
Title:  Spatial and spatio-temporal epidemiology     Volume:  10     ISSN:  1877-5853     ISO Abbreviation:  Spat Spatiotemporal Epidemiol     Publication Date:  2014 Jul 
Date Detail:
Created Date:  2014-08-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101516571     Medline TA:  Spat Spatiotemporal Epidemiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  29-38     Citation Subset:  IM    
Copyright Information:
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.
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