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Estimating ambient air pollutant levels in Suzhou through the SPDE approach with R-INLA

Abstract:

Spatio–temporal models of ambient air pollution can be used to predict pollutant levels across a geographical region. These predictions may then be used as estimates of exposure for individuals in analyses of the health effects of air pollution. Integrated Nested Laplace Approximations is a method for Bayesian inference, and a fast alternative to Markov chain Monte Carlo methods. It also facilitates the SPDE approach to spatial modelling, which has been used for modelling of air pollutant lev...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ijheh.2021.113766

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Sub department:
Clinical Trial Service Unit
Role:
Author
ORCID:
0000-0002-3946-1870
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Author
ORCID:
0000-0003-2303-9242
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Author
ORCID:
0000-0003-1228-3362
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Clinical Trial Service Unit
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Author
Publisher:
Elsevier
Journal:
International Journal of Hygiene and Environmental Health More from this journal
Volume:
235
Article number:
113766
Publication date:
2021-05-24
Acceptance date:
2021-05-10
DOI:
ISSN:
1438-4639
Language:
English
Keywords:
Pubs id:
1177830
Local pid:
pubs:1177830
Deposit date:
2021-05-21

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