DYNAMICS OF A SIRV MODEL FOR THE SPREAD OF COVID-19 IN MALUKU PROVINCE

  • Nona Tjie Sapulette Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia
  • Yopi Andry Lesnussa Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia https://orcid.org/0000-0002-8729-3437
  • Monalissa E Rijoly Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Indonesia
DOI: https://doi.org/10.30598/barekengvol17iss3pp1673-1684
Keywords: Epidemic Model, Covid-19, Vaccination, Stability

Abstract

COVID-19 (Coronavirus Disease 2019) is caused by the SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) coronavirus spreading around the world. In this study, the SIRV model was used, which is an epidemic model carried out by grouping the population into four subpopulations, namely the subpopulation of susceptible individuals who can be infected (Susceptible), the subpopulation of infected individuals (Infected), the subpopulation of individuals who recover from illness (Recovered), and the subpopulation of individuals who have been vaccinated (Vaccination). Based on the dynamic system analysis conducted, two equilibrium points were obtained, namely the disease-free equilibrium point and the endemic equilibrium point. In addition, based on data processing and model simulation results obtained,  was obtained so that it can be concluded that the higher the number of vaccinated populations, the lower the level of Covid-19 spread, which means that vaccines can suppress cases of Covid-19 spread in Maluku Province

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Published
2023-09-30
How to Cite
[1]
N. Sapulette, Y. Lesnussa, and M. Rijoly, “DYNAMICS OF A SIRV MODEL FOR THE SPREAD OF COVID-19 IN MALUKU PROVINCE”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1673-1684, Sep. 2023.
Issue
Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Section
Articles

Copyright (c) 2023 Nona Tjie Sapulette, Yopi Andry Lesnussa, Monalissa E Rijoly

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