Air pollution exposure prediction approaches used in air pollution epidemiology studies.

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  • Author(s): Özkaynak H;Özkaynak H; Baxter LK; Dionisio KL; Burke J
  • Source:
    Journal of exposure science & environmental epidemiology [J Expo Sci Environ Epidemiol] 2013 Nov-Dec; Vol. 23 (6), pp. 566-72. Date of Electronic Publication: 2013 May 01.
  • Publication Type:
    Congress; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101262796 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-064X (Electronic) Linking ISSN: 15590631 NLM ISO Abbreviation: J Expo Sci Environ Epidemiol Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : Nature Pub. Group, c2006-
    • Subject Terms:
      Air Pollution* ; Environmental Exposure* ; Epidemiologic Studies*; Emergency Service, Hospital/statistics & numerical data ; Female ; Humans ; Myocardial Infarction/epidemiology ; Patient Admission ; Pregnancy ; Pregnancy Outcome
    • Abstract:
      Epidemiological studies of the health effects of outdoor air pollution have traditionally relied upon surrogates of personal exposures, most commonly ambient concentration measurements from central-site monitors. However, this approach may introduce exposure prediction errors and misclassification of exposures for pollutants that are spatially heterogeneous, such as those associated with traffic emissions (e.g., carbon monoxide, elemental carbon, nitrogen oxides, and particulate matter). We review alternative air quality and human exposure metrics applied in recent air pollution health effect studies discussed during the International Society of Exposure Science 2011 conference in Baltimore, MD. Symposium presenters considered various alternative exposure metrics, including: central site or interpolated monitoring data, regional pollution levels predicted using the national scale Community Multiscale Air Quality model or from measurements combined with local-scale (AERMOD) air quality models, hybrid models that include satellite data, statistically blended modeling and measurement data, concentrations adjusted by home infiltration rates, and population-based human exposure model (Stochastic Human Exposure and Dose Simulation, and Air Pollutants Exposure models) predictions. These alternative exposure metrics were applied in epidemiological applications to health outcomes, including daily mortality and respiratory hospital admissions, daily hospital emergency department visits, daily myocardial infarctions, and daily adverse birth outcomes. This paper summarizes the research projects presented during the symposium, with full details of the work presented in individual papers in this journal issue.
    • Publication Date:
      Date Created: 20130502 Date Completed: 20140519 Latest Revision: 20220331
    • Publication Date:
      20240829
    • Accession Number:
      10.1038/jes.2013.15
    • Accession Number:
      23632992