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.
|Journal||Advanced Theory and Simulations|
|State||Published - Feb 2023|
Bibliographical noteFunding Information:
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.
© 2022 Wiley-VCH GmbH.
- pandemic control
- pandemic intervention policy
- security games
- spatio-temporal model