Mapping Community Determinants of Heat Vulnerability

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Mapping Community Determinants of Heat Vulnerability

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dc.contributor.author Reid, Colleen E.
dc.contributor.author O’Neill, Marie S.
dc.contributor.author Gronlund, Carina J.
dc.contributor.author Brines, Shannon J.
dc.contributor.author Diez-Roux, Ana V.
dc.contributor.author Brown, Daniel G.
dc.contributor.author Schwartz, Joel David
dc.date.accessioned 2012-01-31T02:07:08Z
dc.date.issued 2009
dc.identifier.citation Reid, Colleen E., Marie S. O'Neill, Carina J. Gronlund, Shannon J. Brines, Daniel G. Brown, Ana V. Diez-Roux, and Joel Schwartz. 2009. Mapping community determinants of heat vulnerability. Environmental Health Perspectives 117(11): 1730-1736. en_US
dc.identifier.issn 0091-6765 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:8081532
dc.description.abstract Background: The evidence that heat waves can result in both increased deaths and illness is substantial, and concern over this issue is rising because of climate change. Adverse health impacts from heat waves can be avoided, and epidemiologic studies have identified specific population and community characteristics that mark vulnerability to heat waves. Objectives: We situated vulnerability to heat in geographic space and identified potential areas for intervention and further research. Methods: We mapped and analyzed 10 vulnerability factors for heat-related morbidity/mortality in the United States: six demographic characteristics and two household air conditioning variables from the U.S. Census Bureau, vegetation cover from satellite images, and diabetes prevalence from a national survey. We performed a factor analysis of these 10 variables and assigned values of increasing vulnerability for the four resulting factors to each of 39,794 census tracts. We added the four factor scores to obtain a cumulative heat vulnerability index value. Results: Four factors explained > 75% of the total variance in the original 10 vulnerability variables: a) social/environmental vulnerability (combined education/poverty/race/green space), b) social isolation, c) air conditioning prevalence, and d) proportion elderly/diabetes. We found substantial spatial variability of heat vulnerability nationally, with generally higher vulnerability in the Northeast and Pacific Coast and the lowest in the Southeast. In urban areas, inner cities showed the highest vulnerability to heat. Conclusions: These methods provide a template for making local and regional heat vulnerability maps. After validation using health outcome data, interventions can be targeted at the most vulnerable populations. en_US
dc.language.iso en_US en_US
dc.publisher National Institute of Environmental Health Sciences en_US
dc.relation.isversionof doi://10.1289/ehp.0900683 en_US
dc.relation.hasversion http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801183/pdf/ en_US
dash.license LAA
dc.subject climate en_US
dc.subject environmental health en_US
dc.subject geographic information systems en_US
dc.subject heat en_US
dc.subject public health en_US
dc.subject vulnerable populations en_US
dc.title Mapping Community Determinants of Heat Vulnerability en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal Environmental Health Perspectives en_US
dash.depositing.author Schwartz, Joel David
dc.date.available 2012-01-31T02:07:08Z
dash.affiliation.other HMS^Medicine-Brigham and Women's Hospital en_US
dash.affiliation.other SPH^Exposure Epidemiology and Risk Program en_US

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