A Novel Causal Risk-Based Decision-Making Methodology: The Case of Coronavirus

Stavroglou, Stavros K, Ayyub, Bilal M, Kallinterakis, Vasileios ORCID: 0000-0001-6217-1188, Pantelous, Athanasios A ORCID: 0000-0001-5738-1471 and Stanley, H Eugene (2021) A Novel Causal Risk-Based Decision-Making Methodology: The Case of Coronavirus. Risk Analysis: an international journal, 41 (5). pp. 814-830.

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Abstract

Either in the form of nature's wrath or a pandemic, catastrophes cause major destructions in societies, thus requiring policy and decisionmakers to take urgent action by evaluating a host of interdependent parameters, and possible scenarios. The primary purpose of this article is to propose a novel risk-based, decision-making methodology capable of unveiling causal relationships between pairs of variables. Motivated by the ongoing global emergency of the coronavirus pandemic, the article elaborates on this powerful quantitative framework drawing on data from the United States at the county level aiming at assisting policy and decision makers in taking timely action amid this emergency. This methodology offers a basis for identifying potential scenarios and consequences of the ongoing 2020 pandemic by drawing on weather variables to examine the causal impact of changing weather on the trend of daily coronavirus cases.

Item Type:	Article
Uncontrolled Keywords:	Decision Making, Risk Quadruplet, Quantitative Analysis, Causality, Coronavirus, US County-level Data
Depositing User:	Symplectic Admin
Date Deposited:	19 Jan 2021 08:05
Last Modified:	18 Jan 2023 23:03
DOI:	10.1111/risa.13678
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3113877