Agent Based Mathematical Modeling and Control Policy for COVID-19 in Korea

Abstract

Coronavirus disease 2019(COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an infectious disease which was first detected in Wuhan, China in December 2019. This disease is now affecting more that 200 countries. On March 2020, the World Health Organization defined the spread of COVID-19 as a pandemic. The government employs various control policies to prevent the spread of the disease.

Agent based modeling(ABM) is the computational modeling methods and describes various phenomena by the interaction of individuals. In this work, we show the spread of COVID-19 by proposing an agent based mathematical model combined with COVID-19 suppression policies such as self-isolation and contact tracing. In particular, we propose a mathematical model for the control of the spread of COVID-19 in accordance with the social distancing policy used in Korea and shows its effectiveness. Several simulation results show that our model

From the various numerical experiments, the mathematical model proposed in this study shows how self-isolation and contact tracing can control the spread of COVID-19 and the importance of public health policies such as social distancing.