@article{567ca65705f44b64a18b154ae3e83d53,
title = "Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution",
keywords = "Air pollution, Bayesian hierarchical modelling, Data fusion, Environmental health effects, Global burden of disease, Integrated nested Laplace approximations, Spatial modelling",
author = "Gavin Shaddick and Thomas, {Matthew L.} and Amelia Green and Michael Brauer and {van Donkelaar}, Aaron and Rick Burnett and Chang, {Howard H.} and Aaron Cohen and Dingenen, {Rita Van} and Carlos Dora and Sophie Gumy and Yang Liu and Randall Martin and Waller, {Lance A.} and Jason West and Zidek, {James V.} and Annette Pr{\"u}ss-Ust{\"u}n",
note = "Publisher Copyright: {\textcopyright} 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.",
year = "2018",
month = jan,
doi = "10.1111/rssc.12227",
language = "English",
volume = "67",
pages = "231--253",
journal = "Journal of the Royal Statistical Society. Series C: Applied Statistics",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "1",
}