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.
Original language | English |
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Title of host publication | Information Technology in Disaster Risk Reduction |
Subtitle of host publication | IFIP AICT 638 |
Editors | Jun Sasaki, Yuko Murayama, Dimiter Velev, Plamena Zlateva |
Place of Publication | Cham, Switzerland |
Publisher | Springer |
Pages | 121-138 |
Number of pages | 18 |
Volume | 638 |
ISBN (Electronic) | 9783031041709 |
ISBN (Print) | 9783031041693 |
DOIs | |
Publication status | Published - 14 Apr 2022 |
Event | The 6th IFIP Conference on Information Technology in Disaster Risk Reduction - Morioka, Japan Duration: 25 Oct 2017 → 27 Oct 2021 Conference number: 6 |
Publication series
Name | IFIP Advances in Information and Communication Technology |
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Publisher | Springer |
Volume | 638 |
ISSN (Print) | 1868-4238 |
ISSN (Electronic) | 1868-422X |
Conference
Conference | The 6th IFIP Conference on Information Technology in Disaster Risk Reduction |
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Abbreviated title | ITDRR 2021 |
Country/Territory | Japan |
City | Morioka |
Period | 25/10/17 → 27/10/21 |
Keywords
- system analysis
- cascading effects
- vicious cycle
- risk system analysis
- risk mitigation