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COVID-19疫情期间封锁决策的数学建模

Mathematical modelling for decision making of lockdown during COVID-19.

作者信息

Ghosh Ahona, Roy Sandip, Mondal Haraprasad, Biswas Suparna, Bose Rajesh

机构信息

Department of Computational Science, Brainware University, Kolkata, India.

Electronics and Communication Engineering, Dibrugarh University, Dibrugarh, Assam India.

出版信息

Appl Intell (Dordr). 2022;52(1):699-715. doi: 10.1007/s10489-021-02463-7. Epub 2021 May 10.

Abstract

Due to the recent worldwide outbreak of COVID-19, there has been an enormous change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel, tourism, economy, etc., in all the affected countries. In this scenario, people must be careful and cautious about the symptoms and should act accordingly. Accurate predictions of different factors, like the end date of the pandemic, duration of lockdown and spreading trend can guide us through the pandemic and precautions can be taken accordingly. Multiple attempts have been made to model the virus transmission, but none of them has investigated it at a global level. The novelty of the proposed work lies here. In this paper, first, authors have analysed spreading of the said disease using data collected from various platforms and then, have presented a predictive mathematical model for fifteen countries from first, second and third world for probable future projections of this pandemic. The prediction can be used by planning commission, healthcare organizations and the government agencies as well for creating suitable arrangements against this pandemic.

摘要

由于近期新冠病毒在全球范围内爆发,我们的生活方式发生了巨大变化,并且在所有受影响国家的金融、教育、商业、旅行、旅游、经济等不同领域都产生了严重影响。在这种情况下,人们必须对症状保持警惕并采取相应行动。对疫情结束日期、封锁持续时间和传播趋势等不同因素进行准确预测,可以引导我们度过疫情,并据此采取预防措施。人们已经多次尝试对病毒传播进行建模,但都没有在全球层面进行研究。本研究工作的新颖之处就在于此。在本文中,作者首先利用从各种平台收集的数据对上述疾病的传播情况进行了分析,然后针对来自第一世界、第二世界和第三世界的15个国家,提出了一个预测性数学模型,用于对这一疫情的未来可能发展进行预测。规划委员会、医疗保健组织和政府机构也可以利用这一预测结果来制定应对这一疫情的适当安排。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b73/8109847/d609e5d53fd5/10489_2021_2463_Fig1_HTML.jpg

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