Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis
(1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-...
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Veröffentlicht in: | International journal of environmental research and public health 2017-10, Vol.14 (10), p.1201 |
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creator | Wang, Kaiwen Zhong, Shuang Wang, Xiaoye Wang, Zhe Yang, Lianping Wang, Qiong Wang, Suhan Sheng, Rongrong Ma, Rui Lin, Shao Liu, Wenyu Zu, Rongqiang Huang, Cunrui |
description | (1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-related deaths and injuries was conducted based on the database from the Funing's Center for Disease Control and Prevention (CDC) and Funing People's Hospital. A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). Of the 337 injuries, 274 injuries (81%) were minor. Most deaths occurred indoors (87%) and the head (74%) was the most frequent site of trauma during the tornado. Five diseases showed downward change-points; (4) Conclusions: The experience of the Funing tornado underscores the relative danger of being indoors during a tornado and is successful in avoiding epidemics post-tornado. Current international safety guidelines need modification when generalized to China. |
doi_str_mv | 10.3390/ijerph14101201 |
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This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-related deaths and injuries was conducted based on the database from the Funing's Center for Disease Control and Prevention (CDC) and Funing People's Hospital. A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). Of the 337 injuries, 274 injuries (81%) were minor. Most deaths occurred indoors (87%) and the head (74%) was the most frequent site of trauma during the tornado. Five diseases showed downward change-points; (4) Conclusions: The experience of the Funing tornado underscores the relative danger of being indoors during a tornado and is successful in avoiding epidemics post-tornado. Current international safety guidelines need modification when generalized to China.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph14101201</identifier><identifier>PMID: 28994741</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Age ; Casualties ; Censuses ; China ; Climate change ; Disasters ; Disease control ; Disease Outbreaks ; Disease prevention ; Emergency preparedness ; Epidemics ; Fatalities ; Female ; Females ; Health risks ; Hepatitis ; Hospitals ; Humans ; Incidence ; Infectious diseases ; Injuries ; Injury analysis ; Male ; Males ; Population ; Public health ; Rain ; Retrospective Studies ; Risk Factors ; Social networks ; Storm damage ; Studies ; Time series ; Tornadoes ; Trauma ; Trends</subject><ispartof>International journal of environmental research and public health, 2017-10, Vol.14 (10), p.1201</ispartof><rights>Copyright MDPI AG 2017</rights><rights>2017 by the authors. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-bd28059759fe9fb55b1af40e60fd213142acc8c97662153ca67be88c2acdbebb3</citedby><cites>FETCH-LOGICAL-c418t-bd28059759fe9fb55b1af40e60fd213142acc8c97662153ca67be88c2acdbebb3</cites><orcidid>0000-0001-6201-4318</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664702/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664702/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28994741$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Kaiwen</creatorcontrib><creatorcontrib>Zhong, Shuang</creatorcontrib><creatorcontrib>Wang, Xiaoye</creatorcontrib><creatorcontrib>Wang, Zhe</creatorcontrib><creatorcontrib>Yang, Lianping</creatorcontrib><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Wang, Suhan</creatorcontrib><creatorcontrib>Sheng, Rongrong</creatorcontrib><creatorcontrib>Ma, Rui</creatorcontrib><creatorcontrib>Lin, Shao</creatorcontrib><creatorcontrib>Liu, Wenyu</creatorcontrib><creatorcontrib>Zu, Rongqiang</creatorcontrib><creatorcontrib>Huang, Cunrui</creatorcontrib><title>Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>(1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-related deaths and injuries was conducted based on the database from the Funing's Center for Disease Control and Prevention (CDC) and Funing People's Hospital. A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). Of the 337 injuries, 274 injuries (81%) were minor. Most deaths occurred indoors (87%) and the head (74%) was the most frequent site of trauma during the tornado. Five diseases showed downward change-points; (4) Conclusions: The experience of the Funing tornado underscores the relative danger of being indoors during a tornado and is successful in avoiding epidemics post-tornado. Current international safety guidelines need modification when generalized to China.</description><subject>Adult</subject><subject>Age</subject><subject>Casualties</subject><subject>Censuses</subject><subject>China</subject><subject>Climate change</subject><subject>Disasters</subject><subject>Disease control</subject><subject>Disease Outbreaks</subject><subject>Disease prevention</subject><subject>Emergency preparedness</subject><subject>Epidemics</subject><subject>Fatalities</subject><subject>Female</subject><subject>Females</subject><subject>Health risks</subject><subject>Hepatitis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infectious diseases</subject><subject>Injuries</subject><subject>Injury analysis</subject><subject>Male</subject><subject>Males</subject><subject>Population</subject><subject>Public health</subject><subject>Rain</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Social networks</subject><subject>Storm damage</subject><subject>Studies</subject><subject>Time series</subject><subject>Tornadoes</subject><subject>Trauma</subject><subject>Trends</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkcFPFTEQxhujEUSvHk0TLxx40HbbbuvB5OVFBEKiIXhu2u4s2-duu253X8J_TxEk4GkmM7_5MjMfQh8pOa4qTU7CFqaxo5wSygh9hfaplGTFJaGvn-V76F3OW0IqxaV-i_aY0prXnO6j3TpnyHmAOOPU4rkD_HNxffD4DGw_d_gq5N8Z29jg82G0_i9l8XWaom0SDhGfLjHEmyO86UK0R5hV-GKJgMs28gte4yuYp5RH8HPYAV5H29_mkN-jN63tM3x4jAfo1-m3683Z6vLH9_PN-nLlOVXzyjVMEaFroVvQrRPCUdtyApK0DaMV5cx6r7yupWRUVN7K2oFSvpQbB85VB-jrg-64uAEaX86cbG_GKQx2ujXJBvOyE0NnbtLOCCl5TVgROHwUmNKfBfJshpA99L2NkJZsqOZaas60KOjn_9BtWsqb-ntKCqlqJUihjh8oX96SJ2iflqHE3FtqXlpaBj49P-EJ_-dhdQeQE50J</recordid><startdate>20171010</startdate><enddate>20171010</enddate><creator>Wang, Kaiwen</creator><creator>Zhong, Shuang</creator><creator>Wang, Xiaoye</creator><creator>Wang, Zhe</creator><creator>Yang, Lianping</creator><creator>Wang, Qiong</creator><creator>Wang, Suhan</creator><creator>Sheng, Rongrong</creator><creator>Ma, Rui</creator><creator>Lin, Shao</creator><creator>Liu, Wenyu</creator><creator>Zu, Rongqiang</creator><creator>Huang, Cunrui</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6201-4318</orcidid></search><sort><creationdate>20171010</creationdate><title>Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis</title><author>Wang, Kaiwen ; Zhong, Shuang ; Wang, Xiaoye ; Wang, Zhe ; Yang, Lianping ; Wang, Qiong ; Wang, Suhan ; Sheng, Rongrong ; Ma, Rui ; Lin, Shao ; Liu, Wenyu ; Zu, Rongqiang ; Huang, Cunrui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-bd28059759fe9fb55b1af40e60fd213142acc8c97662153ca67be88c2acdbebb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Age</topic><topic>Casualties</topic><topic>Censuses</topic><topic>China</topic><topic>Climate change</topic><topic>Disasters</topic><topic>Disease control</topic><topic>Disease Outbreaks</topic><topic>Disease prevention</topic><topic>Emergency preparedness</topic><topic>Epidemics</topic><topic>Fatalities</topic><topic>Female</topic><topic>Females</topic><topic>Health risks</topic><topic>Hepatitis</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infectious diseases</topic><topic>Injuries</topic><topic>Injury analysis</topic><topic>Male</topic><topic>Males</topic><topic>Population</topic><topic>Public health</topic><topic>Rain</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Social networks</topic><topic>Storm damage</topic><topic>Studies</topic><topic>Time series</topic><topic>Tornadoes</topic><topic>Trauma</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kaiwen</creatorcontrib><creatorcontrib>Zhong, Shuang</creatorcontrib><creatorcontrib>Wang, Xiaoye</creatorcontrib><creatorcontrib>Wang, Zhe</creatorcontrib><creatorcontrib>Yang, Lianping</creatorcontrib><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Wang, Suhan</creatorcontrib><creatorcontrib>Sheng, Rongrong</creatorcontrib><creatorcontrib>Ma, Rui</creatorcontrib><creatorcontrib>Lin, Shao</creatorcontrib><creatorcontrib>Liu, Wenyu</creatorcontrib><creatorcontrib>Zu, Rongqiang</creatorcontrib><creatorcontrib>Huang, Cunrui</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kaiwen</au><au>Zhong, Shuang</au><au>Wang, Xiaoye</au><au>Wang, Zhe</au><au>Yang, Lianping</au><au>Wang, Qiong</au><au>Wang, Suhan</au><au>Sheng, Rongrong</au><au>Ma, Rui</au><au>Lin, Shao</au><au>Liu, Wenyu</au><au>Zu, Rongqiang</au><au>Huang, Cunrui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2017-10-10</date><risdate>2017</risdate><volume>14</volume><issue>10</issue><spage>1201</spage><pages>1201-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>(1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-related deaths and injuries was conducted based on the database from the Funing's Center for Disease Control and Prevention (CDC) and Funing People's Hospital. A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). Of the 337 injuries, 274 injuries (81%) were minor. Most deaths occurred indoors (87%) and the head (74%) was the most frequent site of trauma during the tornado. Five diseases showed downward change-points; (4) Conclusions: The experience of the Funing tornado underscores the relative danger of being indoors during a tornado and is successful in avoiding epidemics post-tornado. Current international safety guidelines need modification when generalized to China.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>28994741</pmid><doi>10.3390/ijerph14101201</doi><orcidid>https://orcid.org/0000-0001-6201-4318</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Casualties Censuses China Climate change Disasters Disease control Disease Outbreaks Disease prevention Emergency preparedness Epidemics Fatalities Female Females Health risks Hepatitis Hospitals Humans Incidence Infectious diseases Injuries Injury analysis Male Males Population Public health Rain Retrospective Studies Risk Factors Social networks Storm damage Studies Time series Tornadoes Trauma Trends |
title | Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis |
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