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Stability Analysis and Numerical Simulation of SEIR Model for Pandemic COVID-19 Spread in Indonesia

Overview
Journal Chaos Solitons Fractals
Date 2020 Aug 25
PMID 32834616
Citations 80
Authors
Suwardi Annas
Muh Isbar Pratama
Muh Rifandi
Wahidah Sanusi
Syafruddin Side
Affiliations
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Abstract

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.

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