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

Background: Cohort studies of the relationship between air pollution exposure and chronic health effects require predictions of exposure over long periods of time. Objectives: We developed a unified modeling approach for predicting fine particulate matter, nitrogen dioxide, oxides of nitrogen, and b...

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Publicado en:Environmental Health Perspectives Vol. 123; no. 4; pp. 301 - 310
Autores principales: Keller, Joshua P., Olives, Casey, Sun-Young Kim, Sheppard, Lianne, Sampson, Paul D., Szpiro, Adam A., Oron, Assaf P., Lindström, Johan, Vedal, Sverre, Kaufman, Joel D.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: National Institute of Environmental Health Sciences Apr2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2015
      vid: 123
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      pub: National Institute of Environmental Health Sciences
      place: Research Triangle Park, North Carolina
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        10.1289/ehp.1408145
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        atl: Research. A Unified Spatiotemporal Modeling Approach for Predicting Concentrations of Multiple Air Pollutants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution.
      aug:
        au:
          Keller, Joshua P.
          Olives, Casey
          Sun-Young Kim
          Sheppard, Lianne
          Sampson, Paul D.
          Szpiro, Adam A.
          Oron, Assaf P.
          Lindström, Johan
          Vedal, Sverre
          Kaufman, Joel D.
        affil: Department of Biostatistics, University of Washington, Seattle, Washington, USA
      sug:
        subj:
          Models, Statistical
          Air Pollution Epidemiology
          Air Pollution Trends
          Atherosclerosis Risk Factors
          Air Pollution Adverse Effects
          United States by Individual State
          Environmental Monitoring
          Particulate Matter Evaluation
          Nitrogen Oxides
          Carbon Compounds, Inorganic
          Forecasting (Research)
          Funding Source
      ab: Background: Cohort studies of the relationship between air pollution exposure and chronic health effects require predictions of exposure over long periods of time. Objectives: We developed a unified modeling approach for predicting fine particulate matter, nitrogen dioxide, oxides of nitrogen, and black carbon (as measured by light absorption coefficient) in six U.S. metropolitan regions from 1999 through early 2012 as part of the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). Methods: We obtained monitoring data from regulatory networks and supplemented those data with study-specific measurements collected from MESA Air community locations and participants' homes. In each region, we applied a spatiotemporal model that included a long-term spatial mean, time trends with spatially varying coefficients, and a spatiotemporal residual. The mean structure was derived from a large set of geographic covariates that was reduced using partial least-squares regression. We estimated time trends from observed time series and used spatial smoothing methods to borrow strength between observations. Results: Prediction accuracy was high for most models, with cross-validation R2 (R2CV ) > 0.80 at regulatory and fixed sites for most regions and pollutants. At home sites, overall R2CV ranged from 0.45 to 0.92, and temporally adjusted R2CV ranged from 0.23 to 0.92. Conclusions: This novel spatiotemporal modeling approach provides accurate fine-scale predictions in multiple regions for four pollutants. We have generated participant-specific predictions for MESA Air to investigate health effects of long-term air pollution exposures. These successes highlight modeling advances that can be adopted more widely in modern cohort studies. Citation: Keller JP, Olives C, Kim SY, Sheppard L, Sampson PD, Szpiro AA, Oron AP, Lindström J, Vedal S, Kaufman JD. 2015. A unified spatiotemporal modeling approach for predicting concentrations of multiple air pollutants in the Multi-Ethnic Study of Atherosclerosis and Air Pollution. Environ Health Perspect 123:301-309; http://dx.doi.org/10.1289/ehp.1408145
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
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        Journal Article
      ougenre: Article
    language: English
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