Supporting Decision-making for COVID-19 Outbreaks with the Modified SEIR Model

The ongoing novel coronavirus disease (COVID-19) pandemic has ravaged human society and inflicted serious damage The transmission history of COVID-19 demonstrates how infectious diseases can become global threats if they are not contained Efficient response policies are required to contain these outbreaks However, it is challenging to rapidly formulate and promulgate suitable response policies in various countries that experience outbreaks, given that the experience of controlling epidemics of highly contagious diseases is limited This paper proposes a modified SEIR model that can simulate COVID-19 outbreaks by accounting for the capacity of the local healthcare system and possible intervention techniques to support decision-making during such outbreaks Our paper provides answers to the following three questions: "What feasible intervention methods may serve to control outbreaks?", "To what extent can these methods reduce the damage caused by outbreaks?" and "What are the ideal intervention methods under various circumstances?" © 2021, IAENG International Journal of Computer Science All Rigths Reserved