2020
DOI: 10.1007/978-3-030-49896-2_4
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Global Stability of a Delay Virus Dynamics Model with Mitotic Transmission and Cure Rate

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Cited by 2 publications
(5 citation statements)
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“…We have needed another conditions to ensure the global stability for this equilibrium. Most of the results obtained in the present work generalize, in the same framework, those obtained by Eric Avila Vales et al in [1] in the sense that in [1] the proliferation rates of infected and uninfected hepatocytes are identical and the This work can be developed in many ways as follows:…”
Section: Discussionsupporting
confidence: 85%
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“…We have needed another conditions to ensure the global stability for this equilibrium. Most of the results obtained in the present work generalize, in the same framework, those obtained by Eric Avila Vales et al in [1] in the sense that in [1] the proliferation rates of infected and uninfected hepatocytes are identical and the This work can be developed in many ways as follows:…”
Section: Discussionsupporting
confidence: 85%
“…In order to better understand the dynamics of HCV viral infection, this paper presents a mathematical study on the global dynamics of improved intra-host HCV models based on models in [2] and [1]. In this work we have established results about the local and global stability of equilibria known as infection free equilibrium and infection persist equilibrium.…”
Section: Discussionmentioning
confidence: 99%
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“…The mathematical modeling in a patient allows a better understanding of the transmission of diseases and thus improves the strategies for their eradication. On the basis of the virus infection models proposed in [ 1 3 , 6 , 9 13 , 17 – 22 , 24 35 , 35 37 ], several mathematical models were examined and that are valuable for obtaining comprehensive knowledge about virus dynamics, for example models in the form of Ordinary Differential Equations (ODEs) [ 19 21 , 34 , 37 ], Delayed Differential Equations (DDE) [ 1 , 22 ], Partial Differential Equations (PDE) [ 4 , 29 , 32 , 35 ] and Fractional Differential Equations (FODE) [ 2 , 3 , 17 , 25 ].…”
Section: Introductionmentioning
confidence: 99%