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Quantifying Disparities in Air Pollution Exposures across the United States Using Home and Work Addresses.
de Souza, Priyanka; Anenberg, Susan; Makarewicz, Carrie; Shirgaokar, Manish; Duarte, Fabio; Ratti, Carlo; Durant, John L; Kinney, Patrick L; Niemeier, Deb.
Afiliação
  • de Souza P; Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado 80202, United States.
  • Anenberg S; CU Population Center, University of Colorado Boulder, Boulder, Colorado 80302, United States.
  • Makarewicz C; Senseable City Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Shirgaokar M; Milken Institute School of Public Health, George Washington University, Washington, D.C. 20037, United States.
  • Duarte F; Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado 80202, United States.
  • Ratti C; Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado 80202, United States.
  • Durant JL; Senseable City Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Kinney PL; Senseable City Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Niemeier D; Department of Civil and Environmental Engineering, Tufts University, Medford, Massachusetts 02155, United States.
Environ Sci Technol ; 58(1): 280-290, 2024 Jan 09.
Article em En | MEDLINE | ID: mdl-38153403
ABSTRACT
While human mobility plays a crucial role in determining ambient air pollution exposures and health risks, research to date has assessed risks on the basis of almost solely residential location. Here, we leveraged a database of ∼128-144 million workers in the United States and published ambient PM2.5 data between 2011 and 2018 to explore how incorporating information on both workplace and residential location changes our understanding of disparities in air pollution exposure. In general, we observed higher workplace exposures relative to home exposures, as well as increased exposures for nonwhite and less educated workers relative to the national average. Workplace exposure disparities were higher among racial and ethnic groups and job types than by income, education, age, and sex. Not considering workplace exposures can lead to systematic underestimations in disparities in exposure among these subpopulations. We also quantified the error in assigning workers home instead of a weighted home-and-work exposure. We observed that biases in associations between PM2.5 and health impacts by using home instead of home-and-work exposure were the highest among urban, younger populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos