Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations
Temperature observation time and type influenced the assessment of heat impact on mortality, and different health events may have different temperature thresholds beyond which these health events increase substantially. This study aimed to investigate whether temperature observation time and type in...
Gespeichert in:
Veröffentlicht in: | The Science of the total environment 2018-07, Vol.630, p.679-689 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 689 |
---|---|
container_issue | |
container_start_page | 679 |
container_title | The Science of the total environment |
container_volume | 630 |
creator | Xu, Zhiwei Cheng, Jian Hu, Wenbiao Tong, Shilu |
description | Temperature observation time and type influenced the assessment of heat impact on mortality, and different health events may have different temperature thresholds beyond which these health events increase substantially. This study aimed to investigate whether temperature observation time and type influenced the assessment of heatwave impact on morbidity, to assess how heatwave duration modified heatwave impact on morbidity, and to examine whether there was a consistent temperature threshold beyond which five different types of health events increased sharply.
Minutely air temperature data in Brisbane, Australia, were collected and converted into five daily temperature indicators observed at different time points or calculated using different approaches. Twenty-nine heatwave definitions for each temperature indicator were used to examine the effects of heatwaves on five health events (i.e., ambulance service uses, emergency department attendances (EDAs), hospitalizations, possible EDAs of heat and/or dehydration, and possible hospitalizations of heat and/or dehydration) by quasi-Poisson models.
Mean temperature was slightly better than maximum temperature in predicting heatwave impact on morbidity (P |
doi_str_mv | 10.1016/j.scitotenv.2018.02.268 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2010371581</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0048969718306685</els_id><sourcerecordid>2010371581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c486t-3768eecf610f9446e265438a41843b3e3141b3207d882525da35366efcac59fb3</originalsourceid><addsrcrecordid>eNqFkE1v2yAYx9HUaU3TfYWVYw-1x5sx3i2q1mZSpV3WMyLwoBI5dgo4U7QvP_KyXAcHEPxf4IfQHSU1JVR-XdfJhjxmGHY1I1TVhNVMqg9oRlXbVZQweYVmhAhVdbJrr9FNSmtSRqvoJ3TNOlFmK2fozxJM_m12gM3g8BuYPr9h2MGQ0ze8wGmfMmxMDrYcmn4qu3HAo8cueA-xyHC530I0eYqAw-CCNXmM6eGQdQoOQ3lmCjlAOpa4KR5j0i366E2f4PN5naPXp--_HpfVy8_nH4-Ll8oKJXPFW6kArJeU-E4ICUw2gisjqBJ8xYFTQVeckdYpxRrWOMMbLiV4a2zT-RWfo_tT7jaO7xOkrDchWeh7M8A4JV0AEt7SRtEibU9SG8eUIni9jWFj4l5Tog_k9VpfyB-MShOmC_ni_HIumVYbcBffP9RFsDgJoHx1FyAegmCw4EIEm7Ubw39L_gJwTJvl</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2010371581</pqid></control><display><type>article</type><title>Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations</title><source>Elsevier ScienceDirect Journals</source><creator>Xu, Zhiwei ; Cheng, Jian ; Hu, Wenbiao ; Tong, Shilu</creator><creatorcontrib>Xu, Zhiwei ; Cheng, Jian ; Hu, Wenbiao ; Tong, Shilu</creatorcontrib><description>Temperature observation time and type influenced the assessment of heat impact on mortality, and different health events may have different temperature thresholds beyond which these health events increase substantially. This study aimed to investigate whether temperature observation time and type influenced the assessment of heatwave impact on morbidity, to assess how heatwave duration modified heatwave impact on morbidity, and to examine whether there was a consistent temperature threshold beyond which five different types of health events increased sharply.
Minutely air temperature data in Brisbane, Australia, were collected and converted into five daily temperature indicators observed at different time points or calculated using different approaches. Twenty-nine heatwave definitions for each temperature indicator were used to examine the effects of heatwaves on five health events (i.e., ambulance service uses, emergency department attendances (EDAs), hospitalizations, possible EDAs of heat and/or dehydration, and possible hospitalizations of heat and/or dehydration) by quasi-Poisson models.
Mean temperature was slightly better than maximum temperature in predicting heatwave impact on morbidity (P<0.05), and no appreciable difference in model performance was observed amongst different mean temperature indicators. Two-day-duration heatwaves were more detrimental than longer-lasting heatwaves when heatwave intensity was not high, and 97th percentile appeared to be a consistent temperature threshold for most heatwave-related health events (P<0.05).
It seems desirable in the development of heatwave definition and early warning systems to use mean temperature as an exposure indicator, and to adopt the 97th percentile of temperature as the trigger in Brisbane. Health sectors need to better prepare for short-lasting heatwaves.
[Display omitted]
•Mean temperature was slightly better than maximum temperature in predicting heatwave-related morbidity.•When heatwave intensity was not high (≤93th percentile), two-day-duration heatwaves were more detrimental than longer-lasting heatwaves.•There was a relatively consistent temperature trigger (97th percentile).•Ambulance service uses were more sensitive to heatwaves than other health outcomes.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2018.02.268</identifier><identifier>PMID: 29494976</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Heatwave duration ; Heatwave intensity ; Morbidity ; Temperature indicator</subject><ispartof>The Science of the total environment, 2018-07, Vol.630, p.679-689</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c486t-3768eecf610f9446e265438a41843b3e3141b3207d882525da35366efcac59fb3</citedby><cites>FETCH-LOGICAL-c486t-3768eecf610f9446e265438a41843b3e3141b3207d882525da35366efcac59fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0048969718306685$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29494976$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Zhiwei</creatorcontrib><creatorcontrib>Cheng, Jian</creatorcontrib><creatorcontrib>Hu, Wenbiao</creatorcontrib><creatorcontrib>Tong, Shilu</creatorcontrib><title>Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>Temperature observation time and type influenced the assessment of heat impact on mortality, and different health events may have different temperature thresholds beyond which these health events increase substantially. This study aimed to investigate whether temperature observation time and type influenced the assessment of heatwave impact on morbidity, to assess how heatwave duration modified heatwave impact on morbidity, and to examine whether there was a consistent temperature threshold beyond which five different types of health events increased sharply.
Minutely air temperature data in Brisbane, Australia, were collected and converted into five daily temperature indicators observed at different time points or calculated using different approaches. Twenty-nine heatwave definitions for each temperature indicator were used to examine the effects of heatwaves on five health events (i.e., ambulance service uses, emergency department attendances (EDAs), hospitalizations, possible EDAs of heat and/or dehydration, and possible hospitalizations of heat and/or dehydration) by quasi-Poisson models.
Mean temperature was slightly better than maximum temperature in predicting heatwave impact on morbidity (P<0.05), and no appreciable difference in model performance was observed amongst different mean temperature indicators. Two-day-duration heatwaves were more detrimental than longer-lasting heatwaves when heatwave intensity was not high, and 97th percentile appeared to be a consistent temperature threshold for most heatwave-related health events (P<0.05).
It seems desirable in the development of heatwave definition and early warning systems to use mean temperature as an exposure indicator, and to adopt the 97th percentile of temperature as the trigger in Brisbane. Health sectors need to better prepare for short-lasting heatwaves.
[Display omitted]
•Mean temperature was slightly better than maximum temperature in predicting heatwave-related morbidity.•When heatwave intensity was not high (≤93th percentile), two-day-duration heatwaves were more detrimental than longer-lasting heatwaves.•There was a relatively consistent temperature trigger (97th percentile).•Ambulance service uses were more sensitive to heatwaves than other health outcomes.</description><subject>Heatwave duration</subject><subject>Heatwave intensity</subject><subject>Morbidity</subject><subject>Temperature indicator</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkE1v2yAYx9HUaU3TfYWVYw-1x5sx3i2q1mZSpV3WMyLwoBI5dgo4U7QvP_KyXAcHEPxf4IfQHSU1JVR-XdfJhjxmGHY1I1TVhNVMqg9oRlXbVZQweYVmhAhVdbJrr9FNSmtSRqvoJ3TNOlFmK2fozxJM_m12gM3g8BuYPr9h2MGQ0ze8wGmfMmxMDrYcmn4qu3HAo8cueA-xyHC530I0eYqAw-CCNXmM6eGQdQoOQ3lmCjlAOpa4KR5j0i366E2f4PN5naPXp--_HpfVy8_nH4-Ll8oKJXPFW6kArJeU-E4ICUw2gisjqBJ8xYFTQVeckdYpxRrWOMMbLiV4a2zT-RWfo_tT7jaO7xOkrDchWeh7M8A4JV0AEt7SRtEibU9SG8eUIni9jWFj4l5Tog_k9VpfyB-MShOmC_ni_HIumVYbcBffP9RFsDgJoHx1FyAegmCw4EIEm7Ubw39L_gJwTJvl</recordid><startdate>20180715</startdate><enddate>20180715</enddate><creator>Xu, Zhiwei</creator><creator>Cheng, Jian</creator><creator>Hu, Wenbiao</creator><creator>Tong, Shilu</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20180715</creationdate><title>Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations</title><author>Xu, Zhiwei ; Cheng, Jian ; Hu, Wenbiao ; Tong, Shilu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c486t-3768eecf610f9446e265438a41843b3e3141b3207d882525da35366efcac59fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Heatwave duration</topic><topic>Heatwave intensity</topic><topic>Morbidity</topic><topic>Temperature indicator</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Zhiwei</creatorcontrib><creatorcontrib>Cheng, Jian</creatorcontrib><creatorcontrib>Hu, Wenbiao</creatorcontrib><creatorcontrib>Tong, Shilu</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Zhiwei</au><au>Cheng, Jian</au><au>Hu, Wenbiao</au><au>Tong, Shilu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2018-07-15</date><risdate>2018</risdate><volume>630</volume><spage>679</spage><epage>689</epage><pages>679-689</pages><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>Temperature observation time and type influenced the assessment of heat impact on mortality, and different health events may have different temperature thresholds beyond which these health events increase substantially. This study aimed to investigate whether temperature observation time and type influenced the assessment of heatwave impact on morbidity, to assess how heatwave duration modified heatwave impact on morbidity, and to examine whether there was a consistent temperature threshold beyond which five different types of health events increased sharply.
Minutely air temperature data in Brisbane, Australia, were collected and converted into five daily temperature indicators observed at different time points or calculated using different approaches. Twenty-nine heatwave definitions for each temperature indicator were used to examine the effects of heatwaves on five health events (i.e., ambulance service uses, emergency department attendances (EDAs), hospitalizations, possible EDAs of heat and/or dehydration, and possible hospitalizations of heat and/or dehydration) by quasi-Poisson models.
Mean temperature was slightly better than maximum temperature in predicting heatwave impact on morbidity (P<0.05), and no appreciable difference in model performance was observed amongst different mean temperature indicators. Two-day-duration heatwaves were more detrimental than longer-lasting heatwaves when heatwave intensity was not high, and 97th percentile appeared to be a consistent temperature threshold for most heatwave-related health events (P<0.05).
It seems desirable in the development of heatwave definition and early warning systems to use mean temperature as an exposure indicator, and to adopt the 97th percentile of temperature as the trigger in Brisbane. Health sectors need to better prepare for short-lasting heatwaves.
[Display omitted]
•Mean temperature was slightly better than maximum temperature in predicting heatwave-related morbidity.•When heatwave intensity was not high (≤93th percentile), two-day-duration heatwaves were more detrimental than longer-lasting heatwaves.•There was a relatively consistent temperature trigger (97th percentile).•Ambulance service uses were more sensitive to heatwaves than other health outcomes.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>29494976</pmid><doi>10.1016/j.scitotenv.2018.02.268</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0048-9697 |
ispartof | The Science of the total environment, 2018-07, Vol.630, p.679-689 |
issn | 0048-9697 1879-1026 |
language | eng |
recordid | cdi_proquest_miscellaneous_2010371581 |
source | Elsevier ScienceDirect Journals |
subjects | Heatwave duration Heatwave intensity Morbidity Temperature indicator |
title | Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T14%3A40%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Heatwave%20and%20health%20events:%20A%20systematic%20evaluation%20of%20different%20temperature%20indicators,%20heatwave%20intensities%20and%20durations&rft.jtitle=The%20Science%20of%20the%20total%20environment&rft.au=Xu,%20Zhiwei&rft.date=2018-07-15&rft.volume=630&rft.spage=679&rft.epage=689&rft.pages=679-689&rft.issn=0048-9697&rft.eissn=1879-1026&rft_id=info:doi/10.1016/j.scitotenv.2018.02.268&rft_dat=%3Cproquest_cross%3E2010371581%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2010371581&rft_id=info:pmid/29494976&rft_els_id=S0048969718306685&rfr_iscdi=true |