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Uncertainty associated with ambient ozone metrics in epidemiologic studies and risk assessments.
Wells, Benjamin; Simon, Heather; Luben, Thomas J; Pekar, Zachary; Jenkins, Scott M.
Afiliación
  • Wells B; Office of Air Quality Planning and Standards, US Environmental Protection Agency, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
  • Simon H; Office of Air Quality Planning and Standards, US Environmental Protection Agency, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
  • Luben TJ; National Center for Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, NC, USA.
  • Pekar Z; Office of Air Quality Planning and Standards, US Environmental Protection Agency, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
  • Jenkins SM; Office of Air Quality Planning and Standards, US Environmental Protection Agency, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
Air Qual Atmos Health ; 12(5): 585-595, 2019 Mar 07.
Article en En | MEDLINE | ID: mdl-32601527
Epidemiologic studies relating ambient ozone concentrations to adverse health outcomes have typically relied on spatial averages of concentrations from nearby monitoring stations, referred to as "composite monitors." This practice reflects the assumption that ambient ozone concentrations within an urban area are spatially homogenous. We tested the validity of this assumption by comparing ozone data measured at individual monitoring sites within selected US urban areas to their respective composite monitor time series. We first characterized the temporal correlation between the composite monitor and individual monitors in each area. Next, we analyzed the heteroskedasticity of each relationship. Finally, we compared the distribution of concentrations measured at individual monitors to the composite monitor distribution. Individual monitors showed high correlation with the composite monitor over much of the range of ambient ozone concentrations, though correlations were lower at higher concentrations. The variance between individual monitors and the composite monitor increased as a function of concentration in nearly all the urban areas. Finally, we observed statistical bias in the composite monitor concentrations at the high end of the distribution. The degree to which these results introduce uncertainty into studies that utilize composite monitors depends on the contributions of peak ozone concentrations to reported health effect associations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Air Qual Atmos Health Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Air Qual Atmos Health Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos