Simulation Agent-Based Model to Demonstrate the Transmission of COVID-19 and Effectiveness of Different Public Health Strategies

Wang, Yixing and Xiong, Hainan and Liu, Sijie and Jung, Ara and Stone, Trish and Chukoskie, Leanne (2021) Simulation Agent-Based Model to Demonstrate the Transmission of COVID-19 and Effectiveness of Different Public Health Strategies. Frontiers in Computer Science, 3. ISSN 2624-9898

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Official URL: https://doi.org/10.3389/fcomp.2021.642321

Abstract

COVID-19 has changed the world fundamentally since its outbreak in January 2020. Public health experts and administrations around the world suggested and implemented various intervention strategies to slow down the transmission of the virus. To illustrate to the general public how the virus is transmitted and how different intervention strategies can check the transmission, we built an agent-based model (ABM) to simulate the transmission of the virus in the real world and demonstrate how to prevent its spread with public health strategies.

Item Type:	Article
Subjects:	STM Library > Computer Science
Depositing User:	Managing Editor
Date Deposited:	18 Nov 2022 04:39
Last Modified:	24 Feb 2024 04:09
URI:	http://open.journal4submit.com/id/eprint/248

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