Lockdown Strategy to Control Covid-19 Pandemic Using Automata

S. Jabeen, T. S. Malik, A. Abdullah, M. H. Hasan
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Abstract

The fatal disease of COVID-19 is wrapping up the whole world. Long-term lockdown policy has become the main reason for an increase in the unemployment rate all around the globe which has affected the economy of the developed and third world countries disastrously. This paper is written to suggest a solution for the COVID-19 pandemic. The best counter-strategy would be to clean a region with a preplanned structure of short-term lockdown using the Strategic Algorithm. The area needs to be divided into two equal parts and each part will then be further divided into five subparts. These parts will be cleaned and sanitized simultaneously through the specific set of rules determined by the Strategic Algorithm. Results of the cleaning mechanism are generated using simulation of non-deterministic and deterministic automata for each accepted or cleaned area in the JFLAP tool. The current study provides a short-term lockdown mechanism for cleaning a specific area and taking other strategic steps within the lockdown period to minimize the COVID-19 effects.
使用自动机控制Covid-19大流行的锁定策略
COVID-19致命疾病正在席卷全球。长期封锁政策已成为全球失业率上升的主要原因,对发达国家和第三世界国家的经济造成了灾难性的影响。本文旨在为COVID-19大流行提出解决方案。最好的反策略是使用战略算法清理一个预先规划了短期封锁结构的区域。该区域需要分成两个相等的部分,然后每个部分再分成五个小部分。这些部分将通过策略算法确定的特定规则集同时进行清理和消毒。在JFLAP工具中,对每个被接受或被清理的区域进行非确定性和确定性自动机的模拟,生成清理机制的结果。目前的研究提供了一种短期封锁机制,用于清洁特定区域,并在封锁期内采取其他战略措施,以尽量减少COVID-19的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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