Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia

Annas, Suwardi and Pratama, Muhammad Isbar and Rifandi, Muhammad and Sanusi, Wahidah and Side, Syafruddin Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia. Chaos, Solitons and Fractals, 139. pp. 1-7. ISSN 0960-0779

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Abstract

The Aim of this research is construct the SEIR model for COVID-19, Stability Analysis and numerical simu- lation 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

Item Type:	Article
Uncontrolled Keywords:	SEIR modelCOVID-19Simulation modelBasic reproduction numberLyapunov function
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	S.T., M.T. Faruq Ratuhaji
Date Deposited:	30 Dec 2020 13:31
Last Modified:	31 Aug 2021 12:01
URI:	http://eprints.unm.ac.id/id/eprint/18849

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