Abstract
In this paper, we present a delay induced model for hepatitis C virus incorporating the healthy and infected hepatocytes as well as infectious and noninfectious virions. The model is mathematically analyzed and characterized, both for the steady states and the dynamical behavior of the model. It is shown that time delay does not affect the local asymptotic stability of the uninfected steady state. However, it can destabilize the endemic equilibrium, leading to Hopf bifurcation to periodic solutions with realistic data sets. The model is also validated using 12 patient data obtained from the study, conducted at the University of Sao Paulo Hospital das clinicas.
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Acknowledgements
The authors are very much grateful to the anonymous referees for their useful suggestions and comments for further improvement of this paper. This study was supported by the IndoFrench Center for Applied Mathematics (IFCAM) (Grant No. MA/IFCAM/15/168).
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Appendix: Calculation of \(W_{20}(\theta )\) and \(W_{11}(\theta )\)
Appendix: Calculation of \(W_{20}(\theta )\) and \(W_{11}(\theta )\)
where
Substituting the corresponding series into (38) and comparing the coefficients, we obtain
From (38), we know that for \(\theta \in [-1, 0),\)
Comparing the corresponding coefficients with that of (39), we get,
From (40),(42) and the definition of A, it follows that
Note that \(q(\theta )=(1, a, b, c_{1})^{T}e^{\text {i} \omega _{0}\tau _{j}\theta }\), hence
Here \(E_{1}=(E_{1}^{(1)}, E_{1}^{(2)}, E_{1}^{(3)}, E_{1}^{(4)})\in R^{4}\) is a constant vector. Similarly, from (40) and (43), we get
where \(E_{2}=(E_{2}^{(1)}, E_{2}^{(2)}, E_{2}^{(3)}, E_{2}^{(4)})\in R^{4}\) is also a constant vector. Now, we have to find an appropriate constant vector \(E_1\) and \(E_2\) which satisfy the above conditions. From the definition of A and (40), we obtain
and
where \(\eta (\theta )=\eta (0, \theta ).\) Using (38), we have
and
Substituting (43) and (47) into (45), we obtain
\(\left( 2 \text {i}\omega _{0} \tau _{j} I-\int _{-1}^{0}e^{2 \text {i} \omega _{0}\tau _{j}\theta } d \eta (\theta )\right) E_{1}=2 \tau _{j}\left( \begin{array}{c} -(1+a)\frac{r}{T_{max}}-(1-c\eta _{1})\alpha b e^{-2 \text {i} \omega _{0}\tau _{j}} \\ (1-c\eta _{1})\alpha b e^{-2 \text {i} \omega _{0}\tau _{j}} \\ 0 \\ 0 \\ \end{array} \right) \)
which leads to
From above, we can easily calculate a constant vector \(E_{1}=(E_{1}^{(1)}, E_{1}^{(2)}, E_{1}^{(3)}, E_{1}^{(4)})\in R^{4}\). Similarly, substituting (44) and (48) into (46), we can get
In the similar manner, we can calculate the constant vector \(E_{2}=(E_{2}^{(1)}, E_{2}^{(2)}, E_{2}^{(3)}, E_{2}^{(4)})\in R^{4}.\)
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Banerjee, S., Keval, R. Influence of Intracellular Delay on the Dynamics of Hepatitis C Virus. Int. J. Appl. Comput. Math 4, 89 (2018). https://doi.org/10.1007/s40819-018-0519-5
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DOI: https://doi.org/10.1007/s40819-018-0519-5