Journal article
Spatial Association between Speciated Fine Particles and Mortality
Biometrics, Vol.62(3), pp.855-863
09/01/2006
DOI: 10.1111/j.1541-0420.2006.00526.x
PMID: 16984329
Abstract
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.
Details
- Title: Subtitle
- Spatial Association between Speciated Fine Particles and Mortality
- Creators
- Montserrat Fuentes - North Carolina State UniversityHae-Ryoung SongSujit K GhoshDavid M HollandJerry M Davis
- Resource Type
- Journal article
- Publication Details
- Biometrics, Vol.62(3), pp.855-863
- Publisher
- Wiley Subscription Services, Inc
- DOI
- 10.1111/j.1541-0420.2006.00526.x
- PMID
- 16984329
- ISSN
- 0006-341X
- eISSN
- 1541-0420
- Language
- English
- Date published
- 09/01/2006
- Description audience
- Academic
- Academic Unit
- Statistics and Actuarial Science; Biostatistics; Provost Office Administration
- Record Identifier
- 9983759097702771
Metrics
9 Record Views