Prioritizing Multidimensional Interdependent Factors Influencing COVID‐19 Risk
COVID‐19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and...
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| Published in: | Risk analysis Vol. 42; no. 1; pp. 143 - 161 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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United States
Blackwell Publishing Ltd
01.01.2022
John Wiley and Sons Inc |
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| ISSN: | 0272-4332, 1539-6924, 1539-6924 |
| Online Access: | Get full text |
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| Abstract | COVID‐19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and adopting suitable strategies accordingly. However, policy‐makers at a national level must devise proactive strategies to minimize the harmful impacts of such pandemics. In this article, we use a country‐level data‐set related to humanitarian crises and disasters to explore critical factors influencing COVID‐19 related hazard and exposure, vulnerability, lack of coping capacity, and the overall risk for individual countries. The main contribution is to establish the relative importance of multidimensional factors associated with COVID‐19 risk in a probabilistic network setting. This study provides unique insights to policy‐makers regarding the identification of critical factors influencing COVID‐19 risk and their relative importance in a network setting. |
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| AbstractList | COVID‐19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and adopting suitable strategies accordingly. However, policy‐makers at a national level must devise proactive strategies to minimize the harmful impacts of such pandemics. In this article, we use a country‐level data‐set related to humanitarian crises and disasters to explore critical factors influencing COVID‐19 related hazard and exposure, vulnerability, lack of coping capacity, and the overall risk for individual countries. The main contribution is to establish the relative importance of multidimensional factors associated with COVID‐19 risk in a probabilistic network setting. This study provides unique insights to policy‐makers regarding the identification of critical factors influencing COVID‐19 risk and their relative importance in a network setting. COVID‐19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and adopting suitable strategies accordingly. However, policy‐makers at a national level must devise proactive strategies to minimize the harmful impacts of such pandemics. In this article, we use a country‐level data‐set related to humanitarian crises and disasters to explore critical factors influencing COVID‐19 related hazard and exposure , vulnerability , lack of coping capacity , and the overall risk for individual countries. The main contribution is to establish the relative importance of multidimensional factors associated with COVID‐19 risk in a probabilistic network setting. This study provides unique insights to policy‐makers regarding the identification of critical factors influencing COVID‐19 risk and their relative importance in a network setting. COVID-19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and adopting suitable strategies accordingly. However, policy-makers at a national level must devise proactive strategies to minimize the harmful impacts of such pandemics. In this article, we use a country-level data-set related to humanitarian crises and disasters to explore critical factors influencing COVID-19 related hazard and exposure, vulnerability, lack of coping capacity, and the overall risk for individual countries. The main contribution is to establish the relative importance of multidimensional factors associated with COVID-19 risk in a probabilistic network setting. This study provides unique insights to policy-makers regarding the identification of critical factors influencing COVID-19 risk and their relative importance in a network setting.COVID-19 has significantly affected various industries and domains worldwide. Since such pandemics are considered as rare events, risks associated with pandemics are generally managed through reactive approaches, which involve seeking more information about the severity of the pandemic over time and adopting suitable strategies accordingly. However, policy-makers at a national level must devise proactive strategies to minimize the harmful impacts of such pandemics. In this article, we use a country-level data-set related to humanitarian crises and disasters to explore critical factors influencing COVID-19 related hazard and exposure, vulnerability, lack of coping capacity, and the overall risk for individual countries. The main contribution is to establish the relative importance of multidimensional factors associated with COVID-19 risk in a probabilistic network setting. This study provides unique insights to policy-makers regarding the identification of critical factors influencing COVID-19 risk and their relative importance in a network setting. |
| Author | Gaudenzi, Barbara Qazi, Abroon Simsekler, Mecit Can Emre |
| AuthorAffiliation | 1 School of Business Administration American University of Sharjah Sharjah United Arab Emirates 2 Department of Industrial and Systems Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates 3 Department of Business Administration University of Verona Verona Italy |
| AuthorAffiliation_xml | – name: 2 Department of Industrial and Systems Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates – name: 3 Department of Business Administration University of Verona Verona Italy – name: 1 School of Business Administration American University of Sharjah Sharjah United Arab Emirates |
| Author_xml | – sequence: 1 givenname: Abroon orcidid: 0000-0001-6648-3306 surname: Qazi fullname: Qazi, Abroon email: aeroactuary@gmail.com organization: American University of Sharjah – sequence: 2 givenname: Mecit Can Emre orcidid: 0000-0002-1555-5012 surname: Simsekler fullname: Simsekler, Mecit Can Emre organization: Khalifa University of Science and Technology – sequence: 3 givenname: Barbara surname: Gaudenzi fullname: Gaudenzi, Barbara organization: University of Verona |
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| Keywords | hazard and exposure vulnerability COVID-19 risk pandemics Bayesian Belief Network |
| Language | English |
| License | 2021 Society for Risk Analysis. This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency. |
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| SubjectTerms | Adaptation, Psychological - physiology Bayesian Belief Network Coping COVID-19 COVID-19 - epidemiology COVID-19 - psychology COVID‐19 risk Disasters Global Health hazard and exposure Humanitarianism Humans Original Original s Pandemics Policy making Prioritizing Risk Risk assessment SARS-CoV-2 vulnerability |
| Title | Prioritizing Multidimensional Interdependent Factors Influencing COVID‐19 Risk |
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