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 language | English |
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Article number | 2200631 |
Journal | Advanced Theory and Simulations |
Volume | 6 |
Issue number | 2 |
DOIs | |
State | Published - 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