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Cascading Effects of Mass Gatherings on COVID-19 Infections from a Multi-hazard Perspective: A Case Study of New York City
Anmol Haque
author
Duygu Pamukcu
author
Ruixiang Xie
author
Mohsen Zaker Esteghamati
author
Margaret Cowell
author
Jennifer L. Irish
author
2021
Virginia Tech
Blacksburg, VA (USA)
English
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.
COVID-19 pandemic
Mass gatherings
Multi-hazard
Vulnerability
anmol91@vt.edu
exported from refbase (http://idl.iscram.org/show.php?record=2327), last updated on Tue, 13 Jul 2021 18:18:59 +0200
text
http://idl.iscram.org/files/anmolhaque/2021/2327_AnmolHaque_etal2021.pdf
AnmolHaque_etal2021
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management
Iscram 2021
Anouck Adrot
editor
Rob Grace
editor
Kathleen Moore
editor
Christopher W. Zobel
editor
18th International Conference on Information Systems for Crisis Response and Management
2021
Virginia Tech
Blacksburg, VA (USA)
conference publication
218
227
978-1-949373-61-5
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