巴基斯坦和马来西亚封锁对COVID-19疾病影响的动态建模

G. M. Abro, S. Zulkifli, V. Asirvadam, Nirbhay Mathur, Rahul Kumar, Vipin Kumar Oad
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引用次数: 2

摘要

作为研究人员,对社会问题提供见解是最大的责任,因此,这项工作解决了由冠状病毒引起的第一个也是最具传染性的疾病COVID-19的动态建模。巴基斯坦和马来西亚分别于2020年2月26日和27日出现第一例COVID-19病例;两例患者均有国外旅行史。在这篇论文中,截至2020年4月12日,两国的总感染病例数和总死亡人数基本相同,但每天新增病例的频率和康复率彼此不同。两国也于2020年3月18日实施了行动控制措施。根据这些事实和数据,本文提出了基于Lotka-Volterra方程的数学模型,并使用疑似、暴露、感染和康复人员数据提供微分方程的数值解,以估计未来的后果,并解决封锁前后COVID-19患者增长率的差异,通过采取积极主动的方法,如保持社会距离和隔离必要的时间框架,进一步减少传播。
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Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
Being researchers, it is an utmost responsibility to provide insight on social issues thus, this work addresses the dynamic modeling of first and most contagious disease named as COVID-19 caused by coronavirus. The first case of COVID-19 appeared in Pakistan was on 26th February 2020 and in Malaysia on 27th February 2020; both patients had foreign travel history. In the paper, the number of total affected cases and total deaths in both countries, are quite the same up till 12th April 2020 but the frequency of new cases per day and recovery rate are different from one another. The movement control approach had also been imposed on 18th March 2020 by both countries. Keeping these facts and figures, the paper proposes a mathematical model based on Lotka-Volterra equations and provides numerical solution of differential equations using the suspectable, exposed, infected, and recovered people data to estimate future consequences and address the difference in the growth rate of COVID-19 patients before and after locked down to reduce the spread further by taking pro-active approaches i.e., social distancing and being quarantined for the essential time frame.
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