Model and Simulation to Reduce Covid-19 New Infectious Cases: A Survey

The COVID-19 has spread to 185 countries. To reduce the consequences of poor health and economic aspects of the people, the governments of those infectious countries have been trying to intervene in pandemic countermeasures. Studies have become essential suggestions for the Government to determine decisions for COVID-19 countermeasures. The challenge is predicting suspicious COVID-19 from the time it is confirmed. This paper presents a survey of COVID-19 research that uses simulation and modeling to support the Government's policy and decisions in overcoming the situation. The System Dynamic, Agent-Based Modeling, Discrete Event Simulation, and Hybrid simulation method have advantages and disadvantages. Problem determination methods do need to determine the model. Understanding the research problem, we have to know various modeling techniques and understand the problem in detail to select the right model.