Journal article
Analysis of the effects of ultrafine particulate matter while accounting for human exposure
Environmetrics (London, Ont.), Vol.20(2), pp.131-146
04/24/2008
DOI: 10.1002/env.915
PMCID: PMC2719864
PMID: 19655031
Abstract
Particulate matter (PM) has been associated with mortality in several epidemiological studies. The US EPA currently regulates
PM
10
and
PM
2.5
(mass concentration of particles with diameter less than 10 µm and 2.5 µm, respectively), but it is not clear which size of particles are most responsible for adverse heath outcomes. A current hypothesis is that ultra-fine particles with diameter less than 0.1µm are particularly harmful because their small size allows them to deeply penetrate the lungs. This paper investigates the association between exposure to particles of varying diameter and daily mortality. We propose a new dynamic factor analysis model to relate the ambient concentrations of several sizes of particles with diameters ranging from 0.01 to 0.40 µm with mortality. We introduce a Bayesian model that converts ambient concentrations into simulated personal exposure using the EPA’s Stochastic Human Exposure and Dose Simulator, and relates simulated exposure with mortality. Using new data from Fresno, CA, we find that the four-day lag of particles with diameter between 0.02µm and 0.08µm is associated with mortality. This is consistent with the small particles hypothesis.
Details
- Title: Subtitle
- Analysis of the effects of ultrafine particulate matter while accounting for human exposure
- Creators
- Brian J Reich - Department of Statistics, North Carolina State University, 2501 Founders Drive, Box 8203, Raleigh, NC 27695Montserrat Fuentes - Department of Statistics, North Carolina State University, 2501 Founders Drive, Box 8203, Raleigh, NC 27695Janet Burke - US EPA, National Exposure Research Laboratory Research Triangle Park, North Carolina 27711
- Resource Type
- Journal article
- Publication Details
- Environmetrics (London, Ont.), Vol.20(2), pp.131-146
- DOI
- 10.1002/env.915
- PMID
- 19655031
- PMCID
- PMC2719864
- NLM abbreviation
- Environmetrics
- ISSN
- 1180-4009
- eISSN
- 1099-095X
- Language
- English
- Date published
- 04/24/2008
- Academic Unit
- Statistics and Actuarial Science; President; Biostatistics
- Record Identifier
- 9984065774202771
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