Original language | English |
---|---|
Pages (from-to) | 231-253 |
Number of pages | 23 |
Journal | Journal of the Royal Statistical Society. Series C: Applied Statistics |
Volume | 67 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2018 |
Externally published | Yes |
Keywords
- Air pollution
- Bayesian hierarchical modelling
- Data fusion
- Environmental health effects
- Global burden of disease
- Integrated nested Laplace approximations
- Spatial modelling
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In: Journal of the Royal Statistical Society. Series C: Applied Statistics, Vol. 67, No. 1, 01.2018, p. 231-253.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Data integration model for air quality
T2 - a hierarchical approach to the global estimation of exposures to ambient air pollution
AU - Shaddick, Gavin
AU - Thomas, Matthew L.
AU - Green, Amelia
AU - Brauer, Michael
AU - van Donkelaar, Aaron
AU - Burnett, Rick
AU - Chang, Howard H.
AU - Cohen, Aaron
AU - Dingenen, Rita Van
AU - Dora, Carlos
AU - Gumy, Sophie
AU - Liu, Yang
AU - Martin, Randall
AU - Waller, Lance A.
AU - West, Jason
AU - Zidek, James V.
AU - Prüss-Ustün, Annette
N1 - Funding Information: The model was developed by a multidisciplinary group of experts established as part of the recommendations from the first meeting of the WHO ‘Global platform for air quality’, Geneva, January 2014. The resulting Data Integration Task Force consists of the first, fourth–ninth and 12th–16th authors of this paper together with members of the WHO (the 10th, 11th and 17th authors). The views that are expressed in this paper are those of the authors and they do not necessarily represent the views, decisions or policies of the institutions with which they are affiliated. The model was presented and reviewed at the second meeting of the ‘Global platform for air quality’ meeting, Geneva, August 2015. Matthew Lloyd Thomas is supported by a scholarship from the Engineering and Physical Sciences Research Council Centre for Doctoral Training in Statistical Applied Mathematics at Bath, under project EP/L015684/1. Amelia Green was supported for this work by WHO contracts APW 201255146 and 201255393. Publisher Copyright: © 2017 World Health Organization, Journal of the Royal Statistical Society: Series C (Applied Statistics) Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society.
PY - 2018/1
Y1 - 2018/1
KW - Air pollution
KW - Bayesian hierarchical modelling
KW - Data fusion
KW - Environmental health effects
KW - Global burden of disease
KW - Integrated nested Laplace approximations
KW - Spatial modelling
UR - http://www.scopus.com/inward/record.url?scp=85020394880&partnerID=8YFLogxK
U2 - 10.1111/rssc.12227
DO - 10.1111/rssc.12227
M3 - Article
AN - SCOPUS:85020394880
SN - 0035-9254
VL - 67
SP - 231
EP - 253
JO - Journal of the Royal Statistical Society. Series C: Applied Statistics
JF - Journal of the Royal Statistical Society. Series C: Applied Statistics
IS - 1
ER -