Insights from the Covid-19 pandemic for systemic risk assessment and management
Gonzalez, Jose J. and Eden, Colin; Sasaki, Jun and Murayama, Yuko and Velev, Dimiter and Zlateva, Plamena, eds. (2022) Insights from the Covid-19 pandemic for systemic risk assessment and management. In: Information Technology in Disaster Risk Reduction. IFIP Advances in Information and Communication Technology, 638 . Springer, JPN, pp. 121-138. ISBN 9783031041709 (https://doi.org/10.1007/978-3-031-04170-9_9)
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Abstract
The COVID-19 pandemic has activated hundreds of interdependent long-lasting risks across all sectors of society. Zoonotic diseases are on the rise, fuelled by climatic change, by encroachment and destruction of habitats, and by unsustainable practices. Risk assessment and management must be greatly improved to prevent even worse consequences than COVID-19 if the next pandemic is caused by an agent with higher infectiousness and lethality. Insights from a project on systemic pandemic risk management reveal that the interdependency of risks creates cascading effects mediated by millions of vicious cycles which must be addressed to gain control over a pandemic. We propose a method for systemic, cross-sectoral risk assessment that detects the myriad of causal influences resulting from the risks, allowing to identify and mitigate the most potent risks, i.e., those participating in the highest numbers of vicious loops.
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Item type: Book Section ID code: 81130 Dates: DateEvent14 April 2022Published11 October 2021AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Risk Management
Science > Mathematics > Electronic computers. Computer scienceDepartment: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 17 Jun 2022 04:59 Last modified: 21 Nov 2024 07:58 URI: https://strathprints.strath.ac.uk/id/eprint/81130