Urban heat and air pollution: A framework for integrating population vulnerability and indoor exposure in health risk analyses.

Autor: O'Lenick CR; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA. Electronic address: cassie@ucar.edu., Wilhelmi OV; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA., Michael R; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA., Hayden MH; University of Colorado-Colorado Springs, Colorado Springs, CO, USA., Baniassadi A; School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA., Wiedinmyer C; University of Colorado-Boulder, Boulder, CO, USA., Monaghan AJ; University of Colorado-Boulder, Boulder, CO, USA., Crank PJ; School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA., Sailor DJ; School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2019 Apr 10; Vol. 660, pp. 715-723. Date of Electronic Publication: 2019 Jan 04.
DOI: 10.1016/j.scitotenv.2019.01.002
Abstrakt: Urban growth and climate change will exacerbate extreme heat events and air pollution, posing considerable health challenges to urban populations. Although epidemiological studies have shown associations between health outcomes and exposures to ambient air pollution and extreme heat, the degree to which indoor exposures and social and behavioral factors may confound or modify these observed effects remains underexplored. To address this knowledge gap, we explore the linkages between vulnerability science and epidemiological conceptualizations of risk to propose a conceptual and analytical framework for characterizing current and future health risks to air pollution and extreme heat, indoors and outdoors. Our framework offers guidance for research on climatic variability, population vulnerability, the built environment, and health effects by illustrating how health data, spatially resolved ambient data, estimates of indoor conditions, and household-level vulnerability data can be integrated into an epidemiological model. We also describe an approach for characterizing population adaptive capacity and indoor exposure for use in population-based epidemiological models. Our framework and methods represent novel resources for the evaluation of health risks from extreme heat and air pollution, both indoors and outdoors.
(Copyright © 2019. Published by Elsevier B.V.)
Databáze: MEDLINE
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