Visualizing Influence of Public Response for Accretion of Covid-19 Case in Indonesia Using Epidemic Model

ABSTRACT

Epidemic models such as SIR, SIS, SEIR are widely used to calculate changes in the number of cases in an epidemic/pandemic. Many parameters affect the spread, in several cases, until the completion of a pandemic. Visualization of the influence of parameters on the number of cases in the Covid-19 pandemic can help show the development of the number of Covid-19 cases over a certain period. This paper shows the visualization of the influence of the community response to the Covid-19 pandemic situation as one of the most significant spreading parameters. The model used is the SIR Epidemic Model as the basic model which is more general and can be used in almost any model for pandemics. The visualization results show that the community's response in maintaining the spread of Covid-19 will determine whether the number of cases in this pandemic will increase, constant, or decrease significantly. © 2021 IEEE.