Spatial Association between Speciated Fine Particles and Mortality
Fuentes, M., Song, H. R., Ghosh, S. K., Holland, D. M., & Davis, J. M. (2006, March 15). Biometrics, Vol. 62, pp. 855–863.
author keywords: ambient air pollution; Bayesian hierarchical models; conditional autoregressive models; environmental epidemiology; particulate matter; spatial statistics
MeSH headings : Air Pollutants / toxicity; Bayes Theorem; Biometry; Cardiovascular Diseases / etiology; Cardiovascular Diseases / mortality; Humans; Models, Biological; Models, Statistical; Mortality; Particle Size; Regression Analysis; Respiratory Tract Diseases / etiology; Respiratory Tract Diseases / mortality; Risk; United States / epidemiology
topics (OpenAlex): Air Quality and Health Impacts; Global Health Care Issues; Urban Transport and Accessibility
TL;DR:
A multivariate spatial regression model is developed for the estimation of the risk of mortality associated with fine PM and its components across all counties in the conterminous United States and 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.
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