A Security Games Inspired Approach for Distributed Control Of Pandemic Spread. Issue 2 (15th December 2022)

• Record Type: Journal Article
• Authors: Alexi, Ariel; Rosenfeld, Ariel; Lazebnik, Teddy
• Is Part Of: Advanced theory and simulations. Volume 6:Issue 2(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-12-15
• Subjects: pandemic control -- pandemic intervention policy -- security games -- spatio‐temporal model; Science -- Simulation methods -- Periodicals; Science -- Methodology -- Periodicals; Engineering -- Simulation methods -- Periodicals; Engineering -- Methodology -- Periodicals; 507.21
• DOI: 10.1002/adts.202200631
• Languages: English
• ISSNs: 2513-0390

Abstract

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. Abstract : A novel pandemic intervention policy (PIP) 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. It is shown that IU can outperform other PIPs if implemented correctly.