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Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change

BACKGROUND: Climate change is anticipated to affect human health by changing the distribution of known risk factors. Heat waves have had debilitating effects on human mortality, and global climate models predict an increase in the frequency and severity of heat waves. The extent to which climate cha...

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Autores principales: Peng, Roger D., Bobb, Jennifer F., Tebaldi, Claudia, McDaniel, Larry, Bell, Michelle L., Dominici, Francesca
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094424/
https://www.ncbi.nlm.nih.gov/pubmed/21193384
http://dx.doi.org/10.1289/ehp.1002430
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author Peng, Roger D.
Bobb, Jennifer F.
Tebaldi, Claudia
McDaniel, Larry
Bell, Michelle L.
Dominici, Francesca
author_facet Peng, Roger D.
Bobb, Jennifer F.
Tebaldi, Claudia
McDaniel, Larry
Bell, Michelle L.
Dominici, Francesca
author_sort Peng, Roger D.
collection PubMed
description BACKGROUND: Climate change is anticipated to affect human health by changing the distribution of known risk factors. Heat waves have had debilitating effects on human mortality, and global climate models predict an increase in the frequency and severity of heat waves. The extent to which climate change will harm human health through changes in the distribution of heat waves and the sources of uncertainty in estimating these effects have not been studied extensively. OBJECTIVES: We estimated the future excess mortality attributable to heat waves under global climate change for a major U.S. city. METHODS: We used a database comprising daily data from 1987 through 2005 on mortality from all nonaccidental causes, ambient levels of particulate matter and ozone, temperature, and dew point temperature for the city of Chicago, Illinois. We estimated the associations between heat waves and mortality in Chicago using Poisson regression models. RESULTS: Under three different climate change scenarios for 2081–2100 and in the absence of adaptation, the city of Chicago could experience between 166 and 2,217 excess deaths per year attributable to heat waves, based on estimates from seven global climate models. We noted considerable variability in the projections of annual heat wave mortality; the largest source of variation was the choice of climate model. CONCLUSIONS: The impact of future heat waves on human health will likely be profound, and significant gains can be expected by lowering future carbon dioxide emissions.
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spelling pubmed-30944242011-06-16 Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change Peng, Roger D. Bobb, Jennifer F. Tebaldi, Claudia McDaniel, Larry Bell, Michelle L. Dominici, Francesca Environ Health Perspect Research BACKGROUND: Climate change is anticipated to affect human health by changing the distribution of known risk factors. Heat waves have had debilitating effects on human mortality, and global climate models predict an increase in the frequency and severity of heat waves. The extent to which climate change will harm human health through changes in the distribution of heat waves and the sources of uncertainty in estimating these effects have not been studied extensively. OBJECTIVES: We estimated the future excess mortality attributable to heat waves under global climate change for a major U.S. city. METHODS: We used a database comprising daily data from 1987 through 2005 on mortality from all nonaccidental causes, ambient levels of particulate matter and ozone, temperature, and dew point temperature for the city of Chicago, Illinois. We estimated the associations between heat waves and mortality in Chicago using Poisson regression models. RESULTS: Under three different climate change scenarios for 2081–2100 and in the absence of adaptation, the city of Chicago could experience between 166 and 2,217 excess deaths per year attributable to heat waves, based on estimates from seven global climate models. We noted considerable variability in the projections of annual heat wave mortality; the largest source of variation was the choice of climate model. CONCLUSIONS: The impact of future heat waves on human health will likely be profound, and significant gains can be expected by lowering future carbon dioxide emissions. National Institute of Environmental Health Sciences 2011-05 2010-12-30 /pmc/articles/PMC3094424/ /pubmed/21193384 http://dx.doi.org/10.1289/ehp.1002430 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Peng, Roger D.
Bobb, Jennifer F.
Tebaldi, Claudia
McDaniel, Larry
Bell, Michelle L.
Dominici, Francesca
Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title_full Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title_fullStr Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title_full_unstemmed Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title_short Toward a Quantitative Estimate of Future Heat Wave Mortality under Global Climate Change
title_sort toward a quantitative estimate of future heat wave mortality under global climate change
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094424/
https://www.ncbi.nlm.nih.gov/pubmed/21193384
http://dx.doi.org/10.1289/ehp.1002430
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