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Variation in Population Vulnerability to Heat Wave in Western Australia
Heat waves (HWs) have killed more people in Australia than all other natural hazards combined. Climate change is expected to increase the frequency, duration, and intensity of HWs and leads to a doubling of heat-related deaths over the next 40 years. Despite being a significant public health issue,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376557/ https://www.ncbi.nlm.nih.gov/pubmed/28421177 http://dx.doi.org/10.3389/fpubh.2017.00064 |
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author | Xiao, Jianguo Spicer, Tony Jian, Le Yun, Grace Yajuan Shao, Changying Nairn, John Fawcett, Robert J. B. Robertson, Andrew Weeramanthri, Tarun Stephen |
author_facet | Xiao, Jianguo Spicer, Tony Jian, Le Yun, Grace Yajuan Shao, Changying Nairn, John Fawcett, Robert J. B. Robertson, Andrew Weeramanthri, Tarun Stephen |
author_sort | Xiao, Jianguo |
collection | PubMed |
description | Heat waves (HWs) have killed more people in Australia than all other natural hazards combined. Climate change is expected to increase the frequency, duration, and intensity of HWs and leads to a doubling of heat-related deaths over the next 40 years. Despite being a significant public health issue, HWs do not attract the same level of attention from researchers, policy makers, and emergency management agencies compared to other natural hazards. The purpose of the study was to identify risk factors that might lead to population vulnerability to HW in Western Australia (WA). HW vulnerability and resilience among the population of the state of WA were investigated by using time series analysis. The health impacts of HWs were assessed by comparing the associations between hospital emergency department (ED) presentations, hospital admissions and mortality data, and intensities of HW. Risk factors including age, gender, socioeconomic status (SES), remoteness, and geographical locations were examined to determine whether certain population groups were more at risk of adverse health impacts due to extreme heat. We found that hospital admissions due to heat-related conditions and kidney diseases, and overall ED attendances, were sensitive indicators of HW. Children aged 14 years or less and those aged 60 years or over were identified as the most vulnerable populations to HWs as shown in ED attendance data. Females had more ED attendances and hospital admissions due to kidney diseases; while males had more heat-related hospital admissions than females. There were significant dose–response relationships between HW intensity and SES, remoteness, and health service usage. The more disadvantaged and remotely located the population, the higher the health service usage during HWs. Our study also found that some population groups and locations were resilient to extreme heat. We produced a mapping tool, which indicated geographic areas throughout WA with various vulnerability and resilience levels to HW. The findings from this study will allow local government, community service organizations, and agencies in health, housing, and education to better identify and understand the degree of vulnerability to HW throughout the state, better target preparatory strategies, and allocate limited resources to those most in need. |
format | Online Article Text |
id | pubmed-5376557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53765572017-04-18 Variation in Population Vulnerability to Heat Wave in Western Australia Xiao, Jianguo Spicer, Tony Jian, Le Yun, Grace Yajuan Shao, Changying Nairn, John Fawcett, Robert J. B. Robertson, Andrew Weeramanthri, Tarun Stephen Front Public Health Public Health Heat waves (HWs) have killed more people in Australia than all other natural hazards combined. Climate change is expected to increase the frequency, duration, and intensity of HWs and leads to a doubling of heat-related deaths over the next 40 years. Despite being a significant public health issue, HWs do not attract the same level of attention from researchers, policy makers, and emergency management agencies compared to other natural hazards. The purpose of the study was to identify risk factors that might lead to population vulnerability to HW in Western Australia (WA). HW vulnerability and resilience among the population of the state of WA were investigated by using time series analysis. The health impacts of HWs were assessed by comparing the associations between hospital emergency department (ED) presentations, hospital admissions and mortality data, and intensities of HW. Risk factors including age, gender, socioeconomic status (SES), remoteness, and geographical locations were examined to determine whether certain population groups were more at risk of adverse health impacts due to extreme heat. We found that hospital admissions due to heat-related conditions and kidney diseases, and overall ED attendances, were sensitive indicators of HW. Children aged 14 years or less and those aged 60 years or over were identified as the most vulnerable populations to HWs as shown in ED attendance data. Females had more ED attendances and hospital admissions due to kidney diseases; while males had more heat-related hospital admissions than females. There were significant dose–response relationships between HW intensity and SES, remoteness, and health service usage. The more disadvantaged and remotely located the population, the higher the health service usage during HWs. Our study also found that some population groups and locations were resilient to extreme heat. We produced a mapping tool, which indicated geographic areas throughout WA with various vulnerability and resilience levels to HW. The findings from this study will allow local government, community service organizations, and agencies in health, housing, and education to better identify and understand the degree of vulnerability to HW throughout the state, better target preparatory strategies, and allocate limited resources to those most in need. Frontiers Media S.A. 2017-04-03 /pmc/articles/PMC5376557/ /pubmed/28421177 http://dx.doi.org/10.3389/fpubh.2017.00064 Text en Copyright © 2017 Xiao, Spicer, Jian, Yun, Shao, Nairn, Fawcett, Robertson and Weeramanthri. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Xiao, Jianguo Spicer, Tony Jian, Le Yun, Grace Yajuan Shao, Changying Nairn, John Fawcett, Robert J. B. Robertson, Andrew Weeramanthri, Tarun Stephen Variation in Population Vulnerability to Heat Wave in Western Australia |
title | Variation in Population Vulnerability to Heat Wave in Western Australia |
title_full | Variation in Population Vulnerability to Heat Wave in Western Australia |
title_fullStr | Variation in Population Vulnerability to Heat Wave in Western Australia |
title_full_unstemmed | Variation in Population Vulnerability to Heat Wave in Western Australia |
title_short | Variation in Population Vulnerability to Heat Wave in Western Australia |
title_sort | variation in population vulnerability to heat wave in western australia |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376557/ https://www.ncbi.nlm.nih.gov/pubmed/28421177 http://dx.doi.org/10.3389/fpubh.2017.00064 |
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