Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM 2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring-Reference-Cited by-同舟云学术

Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM 2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring

Published:2017-01 Issue:1 Volume:125 Page:38-46
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environmental Health Perspectives

Author:

Kim Sun-Young¹²,Olives Casey²,Sheppard Lianne²³,Sampson Paul D.⁴,Larson Timothy V.²⁵,Keller Joshua P.³,Kaufman Joel D.²⁶⁷

Affiliation:

1. Institute of Health and Environment, Seoul National University, Seoul, Korea

2. Department of Environmental and Occupational Health Sciences,

3. Department of Biostatistics,

4. Department of Statistics,

5. Department of Civil and Environmental Engineering,

6. Department of Epidemiology, and

7. Department of Medicine, University of Washington, Seattle, Seattle, Washington, USA

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference51 articles.

1. Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data

2. A Hybrid Approach to Estimating National Scale Spatiotemporal Variability of PM2.5 in the Contiguous United States

3. Long-Term Effects of Traffic-Related Air Pollution on Mortality in a Dutch Cohort (NLCS-AIR Study)

4. Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project

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