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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...

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Autores principales: Tong, Shilu, Wang, Xiao Yu, FitzGerald, Gerry, McRae, David, Neville, Gerard, Tippett, Vivienne, Aitken, Peter, Verrall, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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