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

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...

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Bibliographic Details
Published in:Perspectives in health information management 2021, Vol.18 (Winter), p.1g-14
Main Authors: Alzu'bi, Amal Adel, Alasal, Sanaa Ibrahim Abu, Watzlaf, Valerie J M
Format: Article
Language:English
Subjects:
Communicable Disease Control - methods
Computer Simulation
Coronavirus Infections - epidemiology
Coronavirus Infections - prevention & control
Coronaviruses
COVID-19
Epidemics
Epidemics - prevention & control
Humans
Pandemics
Reproducibility of Results
SARS-CoV-2
Systems Analysis
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Summary: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.
ISSN:1559-4122
1559-4122