Abstract
A hepatitis B or C virus (HBV or HCV) epidemic model with intra- and extra-hepatic coinfection, immune delay and saturation incidence, as well as antiviral therapy is proposed in this paper. The existence of equilibria (infection-free, immune-free and immune-activated), the basic reproduction numbers, i.e., \(R_{0}\), \(R_{1}\), are given respectively, by which the criteria on (local and global) stability of above equilibria are established. Furthermore, if the immune delay \(\tau >\tau _{0}\), both the existence of subcritical (supercritical) Hopf bifurcation on the immune-activated equilibrium \(E^{*}\), and the stability of bifurcating periodic solutions are obtained. Finally, the theoretical results are demonstrated by numerical simulations. We derive that the immune delay and intra- and extra-hepatic coinfection have significant influence on the transmission of HBV/HCV, could cause more complicated dynamics at \(E^{*}\) from stability to unstablity untill bifurcation, which greatly increases the difficulty of disease control. While effective antiviral therapy could evidently decrease the spread of HBV/HCV.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Funding
This work was supported by the the Natural Science Foundation of Xinjiang Province, People’s Republic of China (2022D01E41), the National Natural Science Foundation of China (Grant Nos. 12261087, 11861065, 12262035), the Open Project of Key Laboratory of Applied Mathematics of Xinjiang Uygur Autonomous Region, China (Grant No. 2021D04014), the Scientific Research Programmes of Colleges in Xinjiang, People’s Republic of China (Grant No. XJEDU2021I002, XJEDU2021Y001), the Postgraduate Research and Innovation Program of Xinjiang Uygur Autonomous Region, China (Grant No. XJ2022G020).
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Appendices
Appendix A: The details in Sect. 3.2
Appendix B: The details in Sect. 3.3
Appendix C: The details in Sect. 5.1
Appendix D: The details in Sect. 6
We have obtained that the model (6) experiences Hopf bifurcation at the equilibrium \(E^{*}\) for \(\tau =\tau _{0}\), and \(\pm i\omega _{0}\) is the pure imaginary root corresponding to the characteristic equation at \(E^{*}\).
Let \(\widetilde{T_{l}}(t)=T_{l}(t)-T_{l}^{*}\), \(\widetilde{I_{l}}(t)=I_{l}(t)-I_{l}^{*}\), \(\widetilde{T_{e}}(t)=T_{e}(t)-T_{e}^{*}\), \(\widetilde{I_{e}}(t)=I_{e}(t)-I_{e}^{*}\), \(\widetilde{V}(t)=V(t)-V^{*}\), \(\widetilde{Z}(t)=Z(t)-Z^{*}\), and replace \(\widetilde{T_{l}}\), \(\widetilde{I_{l}}\), \(\widetilde{T_{e}}\), \(\widetilde{I_{e}}\), \(\widetilde{V}\), \(\widetilde{Z}\), with \(T_{l}\), \(I_{l}\), \(T_{e}\), \(I_{e}\), V, Z.
Then we define \(\tau =\tau _{0}+\mu \), \(t=s\tau \), \(T_{l}(s\tau )=\overline{T_{l}}(s)\), \(I_{l}(s\tau )=\overline{I_{l}}(s)\), \(T_{e}(s\tau )=\overline{T_{e}}(s)\), \(I_{e}(s\tau )=\overline{I_{e}}(s)\), \(V(s\tau )=\overline{V}(s)\), \(Z(s\tau )=\overline{Z}(s)\), and still denote \(\overline{T_{l}}\), \(\overline{I_{l}}\), \(\overline{T_{e}}\), \(\overline{I_{e}}\), \(\overline{V}\), \(\overline{Z}\) as \(T_{l}\), \(I_{l}\), \(T_{e}\), \(I_{e}\), V, Z. The linear term at the right of the transformed model is sorted out through calculation is (D1),
where
And the nonlinear term at the right of the transformed model is (D2),
where
and
Then the model (6) could be written as a functional differential equation in \(C =C([-1, 0],\ R_{+}^{6})\).
For \(\phi (\theta )=(\phi _{1}(\theta ), \phi _{2}(\theta ), \phi _{3}(\theta ), \phi _{4}(\theta ), \phi _{5}(\theta ), \phi _{6}(\theta ))^{T}\in C\), define operator \(L_{\mu }\phi =(\tau _{0}+\mu )\mathbb {M}_{1}\phi (0)+(\tau _{0}+\mu )\mathbb {M}_{2}\phi (-1)\), where
According to the Riesz representation theorem, there is a matrix value function \(\eta (\theta , \mu ):[-1, 0]\rightarrow R^{6}\), such that
then we have
For \(\phi \in C([-1, 0],\ R_{+}^{6})\), we define
and
Therefore, model (6) is equivalent to abstract differential equation (D6)
Next, we can discuss the Eq. (D6).
For \(\varphi \in C^{1}([0,1], (R^{6})^{*})\), we can define the adjoint operator,
and define the bilinear inner product as (D8)
where \(\eta (\theta )=\eta (\theta ,0)\), and the conjugate operator of \(A(\mu )\) is \(A^{*}\). Based on the above discussion, \(\pm i\omega _{0}\tau _{0}\) is the eigenvalue of A(0) and \(A^{*}\). Then we will calculate the eigenvectors of A and \(A^{*}\) about \(i\omega _{0}\tau _{0}\) and \(-i\omega _{0}\tau _{0}\).
Suppose that \(q(\theta )\) and \(q^{*}(s)\) are the eigenvectors of \(A(\mu _{0})\) and \(A^{*}\) corresponding to \(i\omega _{0}\tau _{0}\) and \(-i\omega _{0}\tau _{0}\) respectively, and \(\langle q^{*}(s), q(\theta )\rangle =1\).
When \(\theta \ne 0\), according to the definition of A(0), easily that \(q(\theta )=q(0)e^{i\tau _{0}\omega _{0}\theta }\) and q(0) satisfies the following equation,
where I is the identity matrix, and \(q(0)=(q_{1}, q_{2}, q_{3}, q_{4}, q_{5}, q_{6})^{T}\), calculation shows that
where \(M_{1}=Q_{1}+d_{l}\), \(M_{2}=Q_{3}+d_{e}\). Similarly, \(q^{*}\) satisfies the following equation
we can further get
Let \(q^{*}(s)=Dq^{*}e^{i\tau _{0}\omega _{0}s}\), we demand to use \(\langle q^{*}(s), q(\theta )\rangle =1\) to determine the formula of D,
Thus, we can choose D as
at the same time, we can easily obtain \(\langle q^{*}(s),\overline{q}(\theta )\rangle =0\).
According to the algorithm in [52] and the similar discussion in [45], we can calculate the corresponding coefficients,
Further, we solve the expressions of \(W_{20}(\theta )\) and \(W_{11}(\theta )\),
and \(E_{1}\) \(E_{2}\) can be calculated as follows,
where \(H_{20}(0)=g_{20}(\overline{q^{*}}(0))^{-1}\), \(H_{11}(0)=g_{11}(\overline{q^{*}}(0))^{-1}\).
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Song, B., Zhang, Y., Sang, Y. et al. Stability and Hopf bifurcation on an immunity delayed HBV/HCV model with intra- and extra-hepatic coinfection and saturation incidence. Nonlinear Dyn 111, 14485–14511 (2023). https://doi.org/10.1007/s11071-023-08580-x
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DOI: https://doi.org/10.1007/s11071-023-08580-x