@article{9e3693541d924b4790bc14bae4fb8e59,
title = "A latent process model for forecasting multiple time series in environmental public health surveillance",
keywords = "air pollution, Bayesian hierarchical models, INLA, latent processes, time series",
author = "Morrison, {Kathryn T.} and Gavin Shaddick and Henderson, {Sarah B.} and Buckeridge, {David L.}",
note = "Funding Information: The authors would like to thank Finn Lindgren for his help and valuable advice in implementing the models. The first author is funded by the Canadian Institutes of Health Research (CIHR). The second author worked on this project whilst he was an International Visiting Research Scholar funded by thePeter Wall Institute for Advanced Studies at the University of British Columbia. The third author has contributed to this work with support from Health Canada. The final author is supported by a CIHR Chair in Applied Public Health Research. Surveillance data for the case study were made available to the BCCDC by the BC Ministry of Health. Publisher Copyright: Copyright {\textcopyright} 2016 John Wiley & Sons, Ltd.",
year = "2016",
month = aug,
day = "15",
doi = "10.1002/sim.6904",
language = "English",
volume = "35",
pages = "3085--3100",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "John Wiley and Sons Ltd",
number = "18",
}
