{"title":"对家庭火灾响应和火灾伤害的贝叶斯分析","authors":"M. Taylor , J. Fielding , D. Reilly , V. Kwasnica","doi":"10.1016/j.firesaf.2024.104266","DOIUrl":null,"url":null,"abstract":"<div><p>In this article domestic fire response and fire injury was examined using a Bayesian analysis approach. A Bayesian model was developed to estimate the probability of non-fatal fire injury associated with a given fire response (escape, return to fire, fight the fire) under given circumstances of non-fatal fire injury (age band, gender, smoke alarm presence, type of domestic fire). The Bayesian model was developed using non-fatal fire injury data recorded by Merseyside Fire and Rescue Service between 2011 and 2022. Overall, more domestic fire injuries relating to attempting to fight the fire occurred in properties with a smoke detector (82 % of attempting to fight the fire injuries) compared to properties without a smoke detector (18 % of attempting to fight the fire injuries). Similarly, fire injuries sustained returning to the fire mainly occurred in properties with a smoke detector (75 % of returning to fire injuries) as opposed to properties without a smoke detector (25 % of returning to fire injuries).</p></div>","PeriodicalId":50445,"journal":{"name":"Fire Safety Journal","volume":"150 ","pages":"Article 104266"},"PeriodicalIF":3.4000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0379711224001796/pdfft?md5=cd6748ab3dfce94cbf459696a6d64ef5&pid=1-s2.0-S0379711224001796-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A Bayesian analysis of domestic fire response and fire injury\",\"authors\":\"M. Taylor , J. Fielding , D. Reilly , V. Kwasnica\",\"doi\":\"10.1016/j.firesaf.2024.104266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this article domestic fire response and fire injury was examined using a Bayesian analysis approach. A Bayesian model was developed to estimate the probability of non-fatal fire injury associated with a given fire response (escape, return to fire, fight the fire) under given circumstances of non-fatal fire injury (age band, gender, smoke alarm presence, type of domestic fire). The Bayesian model was developed using non-fatal fire injury data recorded by Merseyside Fire and Rescue Service between 2011 and 2022. Overall, more domestic fire injuries relating to attempting to fight the fire occurred in properties with a smoke detector (82 % of attempting to fight the fire injuries) compared to properties without a smoke detector (18 % of attempting to fight the fire injuries). Similarly, fire injuries sustained returning to the fire mainly occurred in properties with a smoke detector (75 % of returning to fire injuries) as opposed to properties without a smoke detector (25 % of returning to fire injuries).</p></div>\",\"PeriodicalId\":50445,\"journal\":{\"name\":\"Fire Safety Journal\",\"volume\":\"150 \",\"pages\":\"Article 104266\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0379711224001796/pdfft?md5=cd6748ab3dfce94cbf459696a6d64ef5&pid=1-s2.0-S0379711224001796-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fire Safety Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0379711224001796\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fire Safety Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0379711224001796","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
A Bayesian analysis of domestic fire response and fire injury
In this article domestic fire response and fire injury was examined using a Bayesian analysis approach. A Bayesian model was developed to estimate the probability of non-fatal fire injury associated with a given fire response (escape, return to fire, fight the fire) under given circumstances of non-fatal fire injury (age band, gender, smoke alarm presence, type of domestic fire). The Bayesian model was developed using non-fatal fire injury data recorded by Merseyside Fire and Rescue Service between 2011 and 2022. Overall, more domestic fire injuries relating to attempting to fight the fire occurred in properties with a smoke detector (82 % of attempting to fight the fire injuries) compared to properties without a smoke detector (18 % of attempting to fight the fire injuries). Similarly, fire injuries sustained returning to the fire mainly occurred in properties with a smoke detector (75 % of returning to fire injuries) as opposed to properties without a smoke detector (25 % of returning to fire injuries).
期刊介绍：
Fire Safety Journal is the leading publication dealing with all aspects of fire safety engineering. Its scope is purposefully wide, as it is deemed important to encourage papers from all sources within this multidisciplinary subject, thus providing a forum for its further development as a distinct engineering discipline. This is an essential step towards gaining a status equal to that enjoyed by the other engineering disciplines.
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