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,...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
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2017
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| Online Access: | http://hdl.handle.net/20.500.11937/56124 |
| _version_ | 1848759792640720896 |
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| author | Xiao, J. Spicer, T. Jian, Le Yun, G. Shao, C. Nairn, J. Fawcett, R. Robertson, A. Weeramanthri, T. |
| author_facet | Xiao, J. Spicer, T. Jian, Le Yun, G. Shao, C. Nairn, J. Fawcett, R. Robertson, A. Weeramanthri, T. |
| author_sort | Xiao, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T10:05:31Z |
| format | Journal Article |
| id | curtin-20.500.11937-56124 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:05:31Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-561242017-09-13T16:09:55Z Variation in Population Vulnerability to Heat Wave in Western Australia. Xiao, J. Spicer, T. Jian, Le Yun, G. Shao, C. Nairn, J. Fawcett, R. Robertson, A. Weeramanthri, T. 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/56124 10.3389/fpubh.2017.00064 unknown |
| spellingShingle | Xiao, J. Spicer, T. Jian, Le Yun, G. Shao, C. Nairn, J. Fawcett, R. Robertson, A. Weeramanthri, T. 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. |
| url | http://hdl.handle.net/20.500.11937/56124 |