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Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States

Weather and climate have substantial effects on human health. While much is known about how morbidity and mortality are affected by moderate‐to‐extreme heat, poor air quality, and heavy precipitation individually, less is known about the cumulative occurrence of these climatic hazards, and the exten...

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Autores principales: Spangler, K. R., Manjourides, J., Lynch, A. H., Wellenius, G. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007111/
https://www.ncbi.nlm.nih.gov/pubmed/32159035
http://dx.doi.org/10.1029/2018GH000179
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author Spangler, K. R.
Manjourides, J.
Lynch, A. H.
Wellenius, G. A.
author_facet Spangler, K. R.
Manjourides, J.
Lynch, A. H.
Wellenius, G. A.
author_sort Spangler, K. R.
collection PubMed
description Weather and climate have substantial effects on human health. While much is known about how morbidity and mortality are affected by moderate‐to‐extreme heat, poor air quality, and heavy precipitation individually, less is known about the cumulative occurrence of these climatic hazards, and the extent to which they spatially overlap with community‐scale vulnerabilities. Specifically, there is interest in determining whether individuals living in places with the highest exposure to multiple health hazardous climatic conditions are also more vulnerable to having negative health outcomes. Presented here is a spatial analysis of the distribution of health‐relevant climatic hazards and social vulnerabilities across the New England region of the northeastern United States. We show that the frequency of excessive heat days, heavy precipitation days, and ozone (O(3)) and fine particulate matter (PM(2.5)) exceedances during the warm seasons (May–September) from 2009 to 2014 have distinct spatial distributions and are statistically significantly correlated across space with indicators of social vulnerability. We further quantify an integrated measure of the hazards and vulnerabilities to illustrate the spatial heterogeneity of overall risk, as well as to demonstrate how the choice of spatial scale influences the identification of high‐risk areas. These methods are transferrable to other locations and contexts, which could be of utility not only to geographers and epidemiologists, but also to policymakers tasked with allocating public health resources to populations at greatest risk of weather‐ and climate‐related health effects.
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spelling pubmed-70071112020-03-10 Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States Spangler, K. R. Manjourides, J. Lynch, A. H. Wellenius, G. A. Geohealth Research Articles Weather and climate have substantial effects on human health. While much is known about how morbidity and mortality are affected by moderate‐to‐extreme heat, poor air quality, and heavy precipitation individually, less is known about the cumulative occurrence of these climatic hazards, and the extent to which they spatially overlap with community‐scale vulnerabilities. Specifically, there is interest in determining whether individuals living in places with the highest exposure to multiple health hazardous climatic conditions are also more vulnerable to having negative health outcomes. Presented here is a spatial analysis of the distribution of health‐relevant climatic hazards and social vulnerabilities across the New England region of the northeastern United States. We show that the frequency of excessive heat days, heavy precipitation days, and ozone (O(3)) and fine particulate matter (PM(2.5)) exceedances during the warm seasons (May–September) from 2009 to 2014 have distinct spatial distributions and are statistically significantly correlated across space with indicators of social vulnerability. We further quantify an integrated measure of the hazards and vulnerabilities to illustrate the spatial heterogeneity of overall risk, as well as to demonstrate how the choice of spatial scale influences the identification of high‐risk areas. These methods are transferrable to other locations and contexts, which could be of utility not only to geographers and epidemiologists, but also to policymakers tasked with allocating public health resources to populations at greatest risk of weather‐ and climate‐related health effects. John Wiley and Sons Inc. 2019-04-23 /pmc/articles/PMC7007111/ /pubmed/32159035 http://dx.doi.org/10.1029/2018GH000179 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Spangler, K. R.
Manjourides, J.
Lynch, A. H.
Wellenius, G. A.
Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title_full Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title_fullStr Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title_full_unstemmed Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title_short Characterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
title_sort characterizing spatial variability of climate‐relevant hazards and vulnerabilities in the new england region of the united states
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007111/
https://www.ncbi.nlm.nih.gov/pubmed/32159035
http://dx.doi.org/10.1029/2018GH000179
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