Cascading effects of mass gatherings on COVID-19 infections from a multi-hazard perspective: A case study of New York city
18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021
; 2021-May:218-227, 2021.
Article
in English
| Scopus | ID: covidwho-1589570
ABSTRACT
The devastating economic and societal impacts of COVID-19 can be substantially compounded by other secondary events that increase individuals' exposure through mass gatherings such as protests or sheltering due to a natural disaster. Based on the Crichton's Risk Triangle model, this paper proposes a Markov Chain Monte Carlo (MCMC) simulation framework to estimate the impact of mass gatherings on COVID-19 infections by adjusting levels of exposure and vulnerability. To this end, a case study of New York City is considered, at which the impact of mass gathering at public shelters due to a hypothetical hurricane will be studied. The simulation results will be discussed in the context of determining effective policies for reducing the impact of multi-hazard generalizability of our approach to other secondary events that can cause mass gatherings during a pandemic will also be discussed. © 2021 Information Systems for Crisis Response and Management, ISCRAM. All rights reserved.
COVID-19, pandemic; Mass, gatherings; Multi-hazard; Vulnerability; Hazards; Information, management; Information, systems; Information, use; Markov, processes; Monte, Carlo, methods; Risk, perception; Cascading, effects; Case-studies; Economic, impacts; Individual, exposures; Mass, gathering; Multi-hazards; New, York, city; Societal, impacts; Disasters
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Case report
/
Experimental Studies
Language:
English
Journal:
18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021
Year:
2021
Document Type:
Article
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