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Review
. 2022 Jan;42(1):143-161.
doi: 10.1111/risa.13841. Epub 2021 Oct 19.

Prioritizing Multidimensional Interdependent Factors Influencing COVID-19 Risk

Abroon Qazi  1 , Mecit Can Emre Simsekler  2 , Barbara Gaudenzi  3
Affiliations
Review

Prioritizing Multidimensional Interdependent Factors Influencing COVID-19 Risk

Abroon Qazi et al. Risk Anal. 2022 Jan.

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.

Keywords: Bayesian Belief Network; COVID-19 risk; hazard and exposure; pandemics; vulnerability.

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Figures

Fig 1
Fig 1
A BBN model representing the probability distribution of multidimensional factors (a) influencing COVID‐19 risk; (b) specific to the “low” state of COVID‐19 risk; (c) specific to the “medium” state of COVID‐19 risk; (d) specific to the “high” state of COVID‐19 risk (all Figs. developed in GeNIe 2.0).
Fig 1
Fig 1
A BBN model representing the probability distribution of multidimensional factors (a) influencing COVID‐19 risk; (b) specific to the “low” state of COVID‐19 risk; (c) specific to the “medium” state of COVID‐19 risk; (d) specific to the “high” state of COVID‐19 risk (all Figs. developed in GeNIe 2.0).
See this image and copyright information in PMC

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