A Unified Spatiotemporal Modeling Approach for Predicting Concentrations of Multiple Air Pollutants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution | Zendy

Joshua P. Keller | Zendy; Casey Olives | Zendy; SunYoung Kim | Zendy; Lianne Sheppard | Zendy; Paul D. Sampson | Zendy; Adam A. Szpiro | Zendy; Assaf P. Oron | Zendy; Johan Lindström | Zendy; Sverre Vedal | Zendy; Joel D. Kaufman | Zendy

Open Access

A Unified Spatiotemporal Modeling Approach for Predicting Concentrations of Multiple Air Pollutants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution

Author(s) -

Joshua P. Keller,

Casey Olives,

SunYoung Kim,

Lianne Sheppard,

Paul D. Sampson,

Adam A. Szpiro,

Assaf P. Oron,

Johan Lindström,

Sverre Vedal,

Joel D. Kaufman

Publication year - 2014

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.1408145

Subject(s) - air pollution , environmental science , pollutant , particulates , criteria air contaminants , atmospheric sciences , pollution , regression analysis , covariate , smoothing , air pollutant concentrations , air quality index , statistics , air pollutants , meteorology , geography , mathematics , ecology , biology , geology

Cohort studies of the relationship between air pollution exposure and chronic health effects require predictions of exposure over long periods of time.

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