A Simulation Study of Coronavirus as an Epidemic Disease Using Agent-Based Modeling.

Amal Adel Alzu'bi, Sanaa Ibrahim Abu Alasal, Valerie J M Watzlaf
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Abstract

At the end of 2019, the world faced the novel coronavirus, and with it fear of economic collapse and mass fatalities. Simulation systems can be used to monitor the behavior of the virus. Simulation provides an abstract representation of reality by conveying details and characteristics of reality in a simple application. One of the most important ways to simulate is agent-based modeling. The health information professional plays an important role in developing these models. In this research, we simulate the spread of COVID-19 in a region restricted to a population with specific demographic characteristics and social relationships. This study aims to clarify the effects of preventative techniques that suppress the spread of epidemics, such as quarantines, social distancing, and reduced mass transit.

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基于agent建模的冠状病毒流行病仿真研究
2019年底,世界面临着新型冠状病毒,随之而来的是对经济崩溃和大规模死亡的恐惧。模拟系统可用于监测病毒的行为。仿真通过在一个简单的应用程序中传达现实的细节和特征,提供了对现实的抽象表示。最重要的模拟方法之一是基于代理的建模。卫生信息专业人员在开发这些模型中起着重要作用。在本研究中,我们模拟了COVID-19在具有特定人口特征和社会关系的区域内的传播。这项研究旨在阐明抑制流行病传播的预防性技术的效果,如隔离、保持社交距离和减少公共交通。
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来源期刊
CiteScore
1.90
自引率
0.00%
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0
期刊介绍: Perspectives in Health Information Management is a scholarly, peer-reviewed research journal whose mission is to advance health information management practice and to encourage interdisciplinary collaboration between HIM professionals and others in disciplines supporting the advancement of the management of health information. The primary focus is to promote the linkage of practice, education, and research and to provide contributions to the understanding or improvement of health information management processes and outcomes.
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