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Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia
BACKGROUND: This study attempted to develop health risk-based metrics for defining a heatwave in Brisbane, Australia. METHODS: Poisson generalised additive model was performed to assess the impact of heatwaves on mortality and emergency hospital admissions (EHAs) in Brisbane. RESULTS: In general, th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018942/ https://www.ncbi.nlm.nih.gov/pubmed/24885799 http://dx.doi.org/10.1186/1471-2458-14-435 |
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author | Tong, Shilu Wang, Xiao Yu FitzGerald, Gerry McRae, David Neville, Gerard Tippett, Vivienne Aitken, Peter Verrall, Ken |
author_facet | Tong, Shilu Wang, Xiao Yu FitzGerald, Gerry McRae, David Neville, Gerard Tippett, Vivienne Aitken, Peter Verrall, Ken |
author_sort | Tong, Shilu |
collection | PubMed |
description | BACKGROUND: This study attempted to develop health risk-based metrics for defining a heatwave in Brisbane, Australia. METHODS: Poisson generalised additive model was performed to assess the impact of heatwaves on mortality and emergency hospital admissions (EHAs) in Brisbane. RESULTS: In general, the higher the intensity and the longer the duration of a heatwave, the greater the health impacts. There was no apparent difference in EHAs risk during different periods of a warm season. However, there was a greater risk for mortality in the 2nd half of a warm season than that in the 1st half. While elderly (≥75 years) were particularly vulnerable to both the EHA and mortality effects of a heatwave, the risk for EHAs also significantly increased for two other age groups (0 – 64 years and 65 – 74 years) during severe heatwaves. Different patterns between cardiorespiratory mortality and EHAs were observed. Based on these findings, we propose the use of a tiered heat warning system based on the health risk of heatwave. CONCLUSIONS: Health risk-based metrics are a useful tool for the development of local heatwave definitions. This tool may have significant implications for the assessment of heatwave-related health consequences and development of heatwave response plans and implementation strategies. |
format | Online Article Text |
id | pubmed-4018942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40189422014-05-14 Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia Tong, Shilu Wang, Xiao Yu FitzGerald, Gerry McRae, David Neville, Gerard Tippett, Vivienne Aitken, Peter Verrall, Ken BMC Public Health Research Article BACKGROUND: This study attempted to develop health risk-based metrics for defining a heatwave in Brisbane, Australia. METHODS: Poisson generalised additive model was performed to assess the impact of heatwaves on mortality and emergency hospital admissions (EHAs) in Brisbane. RESULTS: In general, the higher the intensity and the longer the duration of a heatwave, the greater the health impacts. There was no apparent difference in EHAs risk during different periods of a warm season. However, there was a greater risk for mortality in the 2nd half of a warm season than that in the 1st half. While elderly (≥75 years) were particularly vulnerable to both the EHA and mortality effects of a heatwave, the risk for EHAs also significantly increased for two other age groups (0 – 64 years and 65 – 74 years) during severe heatwaves. Different patterns between cardiorespiratory mortality and EHAs were observed. Based on these findings, we propose the use of a tiered heat warning system based on the health risk of heatwave. CONCLUSIONS: Health risk-based metrics are a useful tool for the development of local heatwave definitions. This tool may have significant implications for the assessment of heatwave-related health consequences and development of heatwave response plans and implementation strategies. BioMed Central 2014-05-09 /pmc/articles/PMC4018942/ /pubmed/24885799 http://dx.doi.org/10.1186/1471-2458-14-435 Text en Copyright © 2014 Tong et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tong, Shilu Wang, Xiao Yu FitzGerald, Gerry McRae, David Neville, Gerard Tippett, Vivienne Aitken, Peter Verrall, Ken Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title | Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title_full | Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title_fullStr | Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title_full_unstemmed | Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title_short | Development of health risk-based metrics for defining a heatwave: a time series study in Brisbane, Australia |
title_sort | development of health risk-based metrics for defining a heatwave: a time series study in brisbane, australia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018942/ https://www.ncbi.nlm.nih.gov/pubmed/24885799 http://dx.doi.org/10.1186/1471-2458-14-435 |
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