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Analyzing National Responses to COVID-19 Pandemic using STPA

The unprecedented COVID-19 pandemic has affected most aspects of human life, including the ways in which organizations are operating. Minimizing the spread of coronavirus and its economic consequences, and creating a new and safe lifestyle has now become the common goals of governments all over the...

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Detalles Bibliográficos
Autores principales: Chen, Shufeng, Khastgir, Siddartha, Jennings, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859697/
https://www.ncbi.nlm.nih.gov/pubmed/33558791
http://dx.doi.org/10.1016/j.ssci.2021.105195
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author Chen, Shufeng
Khastgir, Siddartha
Jennings, Paul
author_facet Chen, Shufeng
Khastgir, Siddartha
Jennings, Paul
author_sort Chen, Shufeng
collection PubMed
description The unprecedented COVID-19 pandemic has affected most aspects of human life, including the ways in which organizations are operating. Minimizing the spread of coronavirus and its economic consequences, and creating a new and safe lifestyle has now become the common goals of governments all over the world. Although governments have responded to the COVID-19 pandemic by implementing various rules while interacting with relevant organizations to provide health service, vaccine research, and production of essential items, the complexities in the interactions between various stakeholders have proved to be challenging to have efficient and timely outputs. When different stakeholders (i.e. governments, organizations, and the public) are interacting with each other, a systems thinking process needs to be applied to capture the nuances of the interactions and the subsequent emergent behavior to effectively contribute to the system output (i.e. a safer way of life). This paper applied a system-thinking-inspired process called System Theoretic Process Analysis (STPA) to analyze the current response to the COVID-19 pandemic. The analysis treated various stakeholders as a part of the system, and it focused on the interactions among different stakeholders (i.e. functional blocks) within the system - i.e. ‘Government’, ‘Foreign Governments’, ‘Organizations’, and ‘General Public’, as well as the interactions with ‘W.H.O’. The STPA analysis found 236 potential Unsafe Control Actions (UCAs) (or unsafe interactions) among the stakeholder interactions, each of the UCAs was then further analyzed. In total 1440 causal factors of the UCAs were identified, and 2880 requirements were proposed to avoid such unsafe interactions.
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spelling pubmed-78596972021-02-04 Analyzing National Responses to COVID-19 Pandemic using STPA Chen, Shufeng Khastgir, Siddartha Jennings, Paul Saf Sci Article The unprecedented COVID-19 pandemic has affected most aspects of human life, including the ways in which organizations are operating. Minimizing the spread of coronavirus and its economic consequences, and creating a new and safe lifestyle has now become the common goals of governments all over the world. Although governments have responded to the COVID-19 pandemic by implementing various rules while interacting with relevant organizations to provide health service, vaccine research, and production of essential items, the complexities in the interactions between various stakeholders have proved to be challenging to have efficient and timely outputs. When different stakeholders (i.e. governments, organizations, and the public) are interacting with each other, a systems thinking process needs to be applied to capture the nuances of the interactions and the subsequent emergent behavior to effectively contribute to the system output (i.e. a safer way of life). This paper applied a system-thinking-inspired process called System Theoretic Process Analysis (STPA) to analyze the current response to the COVID-19 pandemic. The analysis treated various stakeholders as a part of the system, and it focused on the interactions among different stakeholders (i.e. functional blocks) within the system - i.e. ‘Government’, ‘Foreign Governments’, ‘Organizations’, and ‘General Public’, as well as the interactions with ‘W.H.O’. The STPA analysis found 236 potential Unsafe Control Actions (UCAs) (or unsafe interactions) among the stakeholder interactions, each of the UCAs was then further analyzed. In total 1440 causal factors of the UCAs were identified, and 2880 requirements were proposed to avoid such unsafe interactions. Elsevier Ltd. 2021-06 2021-02-04 /pmc/articles/PMC7859697/ /pubmed/33558791 http://dx.doi.org/10.1016/j.ssci.2021.105195 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chen, Shufeng
Khastgir, Siddartha
Jennings, Paul
Analyzing National Responses to COVID-19 Pandemic using STPA
title Analyzing National Responses to COVID-19 Pandemic using STPA
title_full Analyzing National Responses to COVID-19 Pandemic using STPA
title_fullStr Analyzing National Responses to COVID-19 Pandemic using STPA
title_full_unstemmed Analyzing National Responses to COVID-19 Pandemic using STPA
title_short Analyzing National Responses to COVID-19 Pandemic using STPA
title_sort analyzing national responses to covid-19 pandemic using stpa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859697/
https://www.ncbi.nlm.nih.gov/pubmed/33558791
http://dx.doi.org/10.1016/j.ssci.2021.105195
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