Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia
Autor
Annas, Suwardi
Pratama, Muh. Isbar
Rifandi, Muh.
Sanusi, Wahidah
Side, Syafruddin
Institución
Resumen
The Aim of this research is construct the SEIR model for COVID-19, Stability Analysis and numerical simulation of the SEIR model on the spread of COVID-19. The method used to construct the model is the SEIR
model by considering vaccination and isolation factors as model parameters, the analysis of the model
uses the generation matrix method to obtain the basic reproduction numbers and the global stability
of the COVID-19 distribution model. Numerical simulation models use secondary data on the number
of COVID-19 cases in Indonesia. The results obtained are the SEIR model for COVID-19; model analysis
yields global stability from the spread of COVID-19; The results of the analysis also provide information
if no vaccine, Indonesia is endemic COVID-19. Then the simulation results provide a prediction picture
of the number of COVID-19 in Indonesia in the following days, the simulation results also show that the
vaccine can accelerate COVID-19 healing and maximum isolation can slow the spread of COVID-19. The
results obtained can be used as a reference for early prevention of the spread of COVID-19 in Indonesia