Taylor, M, Fielding, J, Reilly, D and Kwasnica, V A Bayesian analysis of domestic fire response and fire injury. Fire Safety Journal. ISSN 0379-7112 (Accepted)

Text A Bayesian analysis of domestic fire response and fire injury.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (276kB)

Abstract

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 to 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).

Item Type:	Article
Uncontrolled Keywords:	0904 Chemical Engineering; 0911 Maritime Engineering; Civil Engineering
Subjects:	L Education > LC Special aspects of education > LC5201 Education extension. Adult education. Continuing education Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	Elsevier
SWORD Depositor:	A Symplectic
Date Deposited:	13 Sep 2024 14:54
Last Modified:	13 Sep 2024 14:54
URI:	https://researchonline.ljmu.ac.uk/id/eprint/24131

View Item