A Security Games Inspired Approach for Distributed Control Of Pandemic Spread

Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik

Research output: Contribution to journalArticlepeer-review

8 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
Externally publishedYes

Keywords

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

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