A Security Games Inspired Approach for Distributed Control Of Pandemic Spread

Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Pandemics are a source of extensive mortality, economic impairment, and dramatic social fluctuation. Once a pandemic occurs, policymakers are faced with the highly challenging task of controlling it over time and space. In this article, a novel pandemic intervention policy that relies on the strategic deployment of inspection units (IUs) is proposed. These IUs are allocated in the environment, represented as a graph, and sample individuals who pass through the same node. If a sampled individual is identified as infected, she is extracted from the environment until she recovers (or dies). A realistic simulation-based evaluation of the Influenza A pathogen using both synthetic and real-world data is provided. The results demonstrate potential significant benefits of the proposed PIP in mitigating a pandemic spread which can complement other standard policies such as social distancing and mask-wearing.

Original languageEnglish
Article number2200631
JournalAdvanced Theory and Simulations
Volume6
Issue number2
DOIs
StatePublished - Feb 2023

Bibliographical note

Publisher Copyright:
© 2022 Wiley-VCH GmbH.

Funding

The authors wish to thank Eyal Weiss for the thoughtful discussions. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Keywords

  • pandemic control
  • pandemic intervention policy
  • security games
  • spatio-temporal model

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