Mokhber, Ali, Aggarwal, Shivani and García-Triñanes, Pablo ORCID: https://orcid.org/0000-0002-4993-2250 (2022) Application of layers of protection analysis to prevent coronavirus infection. Process Safety Progress, 41 (3). pp. 469-479. ISSN 1066-8527 (Print), 1547-5913 (Online) (doi:10.1002/prs.12362)

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Abstract

LOPA methodology is applied to an encounter with the SARS-COV-2 infection as an initiating event and subsequently independent protection layers (namely health safeguarding protocols), such as social distancing, ventilation, hand hygiene, face masks and vaccinations. LOPA is applied considering numerical quantification of the COVID fatality index in order to manage the transmission risk to a tolerable level, namely the fatality risk due to seasonal flu. This measurement tool quantifies the ratio of the annual death rate due to the SARS-COV-2 infection, to the annual death rate of the common flu and it is applied to a chemical plant. The lower this quantified value is, the more the COVID-19 infection death rate approaches to that of the common flu. Thus, any improvement in safeguarding protocols should reduce this index. The input data is based on public domain COVID-19 infection statistical data and websites accessible in the United Kingdom. The COVID-19 transmission rate is statistically analyzed with random number sampling, to simulate the random pattern of the virus’ person to person infection in the community. The success of the COVID-19 protection protocols is probabilistic and depends on the public’s compliance which are modelled by observational surveys.

Item Type:	Article
Uncontrolled Keywords:	Layers of Protection Analysis (LOPA); COVID-19 protection layer health protocols; transmission rate; Probability of Failure on Demand (PFD); COVID fatality index
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Science (SCI)
Related URLs:	https://aiche.onlinelibrary.wiley.com/jo...
Last Modified:	18 Aug 2022 14:51
URI:	http://gala.gre.ac.uk/id/eprint/35577

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