Spatial association between speciated fine particles and mortality.
Particulate matter (PM) has been linked to a range of serious cardiovascular and respiratory health problems, including premature mortality. The main objective of our research is to quantify uncertainties about the impacts of fine PM exposure on mortality. We develop a multivariate spatial regression model for the estimation of the risk of mortality associated with fine PM and its components across all counties in the conterminous United States. We characterize different sources of uncertainty in the data and model the spatial structure of the mortality data and the speciated fine PM. We consider a flexible Bayesian hierarchical model for a space-time series of counts (mortality) by constructing a likelihood-based version of a generalized Poisson regression model that combines methods for point-level misaligned data and change of support regression. Our results seem to suggest an increase by a factor of two in the risk of mortality due to fine particles with respect to coarse particles. Our study also shows that in the Western United States, the nitrate and crustal components of the speciated fine PM seem to have more impact on mortality than the other components. On the other hand, in the Eastern United States, sulfate and ammonium explain most of the fine PM effect.
Fuentes
Montserrat
M
Statistics Department, North Carolina State University, Box 8203, Raleigh, North Carolina 27695, USA. fuentes@stat.ncsu.edu
Song
Hae-Ryoung
HR
Ghosh
Sujit K
SK
Holland
David M
DM
Davis
Jerry M
JM
D000393:Air Pollutants / Q000633:toxicity*; D001499:Bayes Theorem; D001699:Biometry; D002318:Cardiovascular Diseases / Q000209:etiology / Q000401:mortality; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009026:Mortality; D010316:Particle Size; D012044:Regression Analysis; D012140:Respiratory Tract Diseases / Q000209:etiology / Q000401:mortality; D012306:Risk; D014481:United States / Q000453:epidemiology
D000393:Air Pollutants