Modeling the emergence of COVID-19: a systems approach

Bijun Wang, Song Xu, M. Mansouri
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引用次数: 6

Abstract

In December 2019, a novel coronavirus disease (COVID-19) suddenly emerged in Wuhan, China. In March 2020, WHO declares the coronavirus outbreak a pandemic. The virus has spread quickly to all over China and most of the countries and regions within the increasing urbanization and globalization, infected more than three million people worldwide. A crucial factor that may significantly affect the spread of COVID-19 is the multiple, interactive, emergent, and complex characteristics and systems of the social systems. This paper describes a systems approach modeling and analyzing the emergence and spread of COVID-19 in urban systems, seeking to combine the multi-layer urban structure between complex infrastructure systems, human activities and policy systems. Moreover, a complex network model is built to illustrate the diffusion of the virus with or without the intervention of policy systems under the different policy intensity by the changed basic reproduction number (R0). Besides, a system dynamics model, including feedback loops and changes, is proposed to demonstrate how the COVID-19 spreads out under the interactive and interrelated characteristics and systems of the complex systems at different levels.
模拟COVID-19的出现:一种系统方法
2019年12月,新型冠状病毒病(COVID-19)在中国武汉突然出现。2020年3月,世卫组织宣布冠状病毒疫情为大流行。在日益城市化和全球化的背景下,新冠肺炎病毒迅速蔓延到中国各地和大多数国家和地区,全球感染人数超过300万。社会系统的多变性、互动性、突发性、复杂性是影响疫情传播的重要因素。本文描述了一种系统方法来建模和分析COVID-19在城市系统中的出现和传播,寻求将复杂的基础设施系统、人类活动和政策系统之间的多层城市结构结合起来。通过基本繁殖数(R0)的变化,建立了一个复杂的网络模型来说明在不同政策强度下,有政策系统干预或没有政策系统干预时病毒的扩散情况。此外,还提出了一个包含反馈回路和变化的系统动力学模型,以展示在不同层次的复杂系统的相互作用和相互关联的特征和系统下,COVID-19是如何扩散的。
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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