Journal of applied mathematics & informatics

  • 제41권6호
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  • Pages.1393-1407
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  • 2023
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  • 2734-1194(pISSN)
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  • 2234-8417(eISSN)
한국전산응용수학회 (The Korean Society for Computational and Applied Mathematics)
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EPIDEMIC SEIQRV MATHEMATICAL MODEL AND STABILITY ANALYSIS OF COVID-19 TRANSMISSION DYNAMICS OF CORONAVIRUS

  • S.A.R. BAVITHRA (Department of Mathematics, Periyar University) ;
  • S. PADMASEKARAN (Department of Mathematics, Periyar University)
  • 투고 : 2023.04.26
  • 심사 : 2023.07.12
  • 발행 : 2023.11.30
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초록

In this study, we propose a dynamic SEIQRV mathematical model and examine it to comprehend the dynamics of COVID-19 pandemic transmission in the Coimbatore district of Tamil Nadu. Positiveness and boundedness, which are the fundamental principles of this model, have been examined and found to be reliable. The reproduction number was calculated in order to predict whether the disease would spread further. Existing arrangements of infection-free, steady states are asymptotically stable both locally and globally when R0 < 1. The consistent state arrangements that are present in diseases are also locally steady when R0 < 1 and globally steady when R0 > 1. Finally, the numerical data confirms our theoretical study.

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과제정보

The second author is supported by the fund for improvement of Science and Technology Infrastructure (FIST) of DST (SR/FST/MSI-115/2016).

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