SENSITIVITY ANALYSIS OF SMARTPHONE VIRUS INFECTION TRANSMISSION DYNAMICS

Autori

  • T.I. Chinebu*
  • G.C.E. Mbah Department of Mathematics, University of Nigeria, Nsukka
  • E.A. Jooda*
  • E.O. Ezennorom‡
  • I.V. Udegbe‡

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Abstrakt

We proposed in this paper, a mathematical model for the sensitivity analysis of the Smartphone virus infection transmission dynamics using SEICQR. First, the model was well-posed as we proved that all its state variables are nonnegative for all time and then we determine a unique Smartphone virus infection free equilibrium state and indicate possibility of control of Smartphone virus infection. The basic Smartphone virus infection reproduction number R0, as a threshold parameter, in terms of the given model parameter was computed using the next generation method. Also, the sensitivity analysis of

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Publikované

2023-09-27

##submission.howToCite##

Chinebu*, T. ., Mbah, G., Jooda*, E. ., Ezennorom‡, E. ., & Udegbe‡, I. . (2023). SENSITIVITY ANALYSIS OF SMARTPHONE VIRUS INFECTION TRANSMISSION DYNAMICS. International Journal of Mathematical Analysis and Modelling, 4. Cit z https://tnsmb.org/journal/index.php/ijmam/article/view/26

Číslo

Diel 4 (2021): Volume 4, 2021

Sekcia

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