Abstract
The method of administration of an effective drug treatment to eradicate viruses within a host is an important issue in studying viral dynamics. Overuse of a drug can lead to deleterious side effects, and overestimating the efficacy of a drug can result in failure to treat infection. In this study, we proposed a reaction-diffusion within-host virus model which incorporated information regarding spatial heterogeneity, drug treatment, and the intracellular delay to produce productively infected cells and viruses. We also calculated the basic reproduction number \({\mathcal {R}}_0\) under the assumptions of spatial heterogeneity. We have shown that the infection-free periodic solution is globally asymptotically stable when \({\mathcal {R}}_0<1\), whereas when \({\mathcal {R}}_0>1\) there is an infected periodic solution and the infection is uniformly persistent. By conducting numerical simulations, we also revealed the effects of various parameters on the value of \({\mathcal {R}}_0\). First, we showed that the dependence of \({\mathcal {R}}_0\) on the intracellular delay could be monotone or non-monotone, depending on the death rate of infected cells in the immature stage. Second, we found that the mobility of infected cells or virions could facilitate the virus clearance. Third, we found that the spatial fragmentation of the virus environment enhanced viral infection. Finally, we showed that the combination of spatial heterogeneity and different sets of diffusion rates resulted in complicated viral dynamic outcomes.
Similar content being viewed by others
References
Bai Z, Peng R, Zhao XQ (2018) A reaction-diffusion malaria model with seasonality and incubation period. J Math Biol 77:201–228
Browne CJ, Cheng CY (2020) Age-structured viral dynamics in a host with multiple compartments. Math Biosci Eng 17:538–574
Browne CJ, Shu H, Pan X, Wang XS, (2020) Resonance of periodic combination antiviral therapy and intracellular delays in virus model. Bull Math Biol 82:1–29
Chekroun A, Kuniya T (2020a) An infection age-space structured SIR epidemic model with Neumann boundary condition. Appl Anal 99:1972–1985
Chekroun A, Kuniya T (2020b) Global threshold dynamics of an infection age-structured SIR epidemic model with diffusion under the Dirichlet boundary condition. J Differ Equ 269:117–148
Chen SS, Cheng CY, Rong L (2019) Within-host virus models with periodic antiviral therapy. Bull Math Biol 81:4271–4308
Cheynier R, Henrichwark S, Hadida F, Pelletier E, Oksenhendler E, Autran B, Wain-Hobson S (1994) HIV and T cell expansion in splenic white pulps is accompanied by infiltrationof HIV-specific cytotoxic T lymphocytes. Cell 78:373–387
Culshaw RV, Ruan S, Webb G (2003) A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay. J Math Biol 46:425–444
Daners D, Koch Medina P (1992) Abstract Evolution Equations, Periodic Problems and Applications Pitman Res Notes Math Ser, Vol. 279. Longman, Harlow, UK
De Boer RJ, Ribeiro RM, Perelson AS (2010) Current estimates for HIV-1 production imply rapid viral clearance in lymphoid tissues. PLoS Comput Biol 6:1000906
De Leenheer P (2009) Within-host virus models with periodic antiviral therapy. Bull Math Biol 71:189–210
Dixit NM, Perelson AS (2004) Complex patterns of viral load decay under antiretroviral therapy: influence of pharmacokinetics and intracellular delay. J Theor Biol 226:95–109
Edgar RS, Stangherlin A, Nagy AD, Nicoll MP, Efstathiou S, O’Neill JS, Reddy AB (2016) Cell autonomous regulation of herpes and influenza virus infection by the circadian clock. Proc Natl Acad Sci USA 113:10085–10090
Friedman A (1964) Partial Differential Equations of Parabolic Type. Prentice-Hall, Englewood Cliffs, NJ
Fung HB, Stone EA, Piacenti FJ (2002) Tenofovir disoproxil fumarate: a nucleotide reverse transcriptase inhibitor for the treatment of HIV infection. Clin Ther 24:1515–1548
Graw F, Perelson AS (2013) Spatial aspects of HIV infection. In: Schättler H, Friedman A, Kashdan E, Ledzewicz U (eds) Mathematical methods and models in biomedicine, Springer, New York, pp 3–31
Guo Z, Wang FB, Zou X (2012) Threshold dynamics of an infective disease model with a fixed latent period and non-local infections. J Math Biol 65:1387–1410
Hess P (1991) Periodic-Parabolic Boundary Value Problems and Positivity. Longman Scientific and Technical, Harlow, UK
Hirsch WM, Smith HL, Zhao XQ (2001) Chain transitivity, attractivity, and strong repellers for semidynamical systems. J Dyn Differ Equ 13:107–131
Hübner W, McNerney GP, Chen P, Dale BM, Gordan RE, Chuang FYS, Li XD, Asmuth DM, Huser T, Chen BK (2009) Quantitative 3D video microscopy of HIV transfer across T cell virological synapses. Science 323:1743–1747
Kepler TB, Perelson AS (1998) Drug concentration heterogeneity facilitates the evolution of drug resistance. Proc Natl Acad Sci USA, 95:11514–11519
Lai X, Zou X (2014) Repulsion effect on superinfecting virions by infected cells. Bull Math Biol 76:2806–2833
Lenbury Y, Ouncharoen R, Tumrasvin N (2000) Higher-dimensional separation principle for the analysis of relaxation oscillations in nonlinear systems: application to a model of HIV infection. IMA J Math Appl Med Biol 17:243–261
Li MY, Shu H (2010) Impact of intracellular delays and target-cell dynamics on in vivo viral infections. SIAM J Appl Math 70:2434–2448
Liang X, Zhang L, Zhao XQ (2019) Basic reproduction ratios for periodic abstract functional differential equations (with application to a spatial model for Lyme disease). J Dyn Differ Equ 31:1247–1278
Lou Y, Zhao XQ (2011) A reaction-diffusion malaria model with incubation period in the vector population. J Math Biol 62:543–568
Magal P, Ruan S (2018) Theory and Applications of Abstract Semilinear Cauchy Problems. Springer International Publishing, Applied Mathematical Sciences
Magal P, Zhao XQ (2005) Global attractors and steady states for uniformly persistent dynamical systems. SIAM J Math Anal 37:251–275
Martin RH, Smith HL (1990) Abstract functional differential equations and reaction-diffusion systems. Trans Amer Math Soc 321:1–44
McFarren A, Lopez L, Williams DW, Veenstra M, Bryan RA, Goldsmith A, Morgenstern A, Bruchertseifer F, Zolla-Pazner S, Gorny MK, Eugenin EA, Berman JW, Dadachova E (2016) A fully human antibody to gp41 selectively eliminates HIV-infected cells that transmigrated across a model human blood brain barrier. AIDS 30:563–572
Miller M, Wei S, Parker I, Cahalan M (2002) Two-photon imaging of lymphocyte motility and antigen response in intact lymph node. Science 296:1869–1873
Neagu IA, Olejarz J, Freeman M, Rosenbloom DI, Nowak MA, Hill AL (2018) Life cycle synchronization is a viral drug resistance mechanism. PLoS computational biology 14:1005947
Nowak MA, May RM (2000) Virus Dynamics. Oxford University Press, New York
Pankavich S, Parkinson C (2016) Mathematical analysis of an in-host model of viral dynamics with spatial heterogeneity. Discrete Contin Dyn Syst B 21:1237–1257
Perelson AS, Nelson PW (1999) Mathematical analysis of HIV-1 dynamics in vivo. SIAM Rev 41:3–44
Ren X, Tian Y, Liu L, Liu X (2018) A reaction-diffusion within-host HIV model with cell-to-cell transmission. J Math Biol 76:1831–1872
Rong L, Feng Z, Perelson AS (2007) Emergence of HIV-1 drug resistance during antiretroviral treatment. Bull Math Biol 69:2027–2060
Scheiermann C, Gibbs J, Ince L, Loudon A (2018) Clocking in to immunity. Nature reviews Immunology 18:423–437
Shen L, Peterson S, Sedaghat AR, McMahon MA, Callender M, Zhang H, Zhou Y, Pitt E, Anderson KS, Acosta EP, Siliciano RF (2008) Dose-response curve slope sets class-specific limits on inhibitory potential of anti-HIV drugs. Nature Med 14:762–766
Smith HL (1995) Monotonic Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative systems, Math Surveys Monogr, Vol. 41. American Mathematical Society, Providence
Song XY, Neumann AU (2007) Global stability and periodic solution of the viral dynamics. J Math Anal Appl 329:281–297
Strain MC, Richman DD, Wong JK, Levine H (2002) Spatiotemporal dynamics of HIV propagation. J Theor Biol 218:85–96
Thieme HR (2009) Spectral bound and reproduction number for infinite-dimensional population structure and time heterogeneity. SIAM J Appl Math 70:188–211
Thieme HR, Zhao XQ (2001) A non-local delayed and diffusive predator-prey model. Nonlinear Anal RWA 2:145–160
Vaidya NK, Rong L (2017) Modeling pharmacodynamics on HIV latent infection: choice of drugs is key to successful cure via early therapy. SIAM J Appl Math 77:1781–1804
Wang W, Zhao XQ (2008) Threshold dynamics for compartmental epidemic models in periodic environments. J Dyn Differ Equ 20:699–717
Wu J (1996) Theory and applications of partial functional differential equations. Springer, New York
Zhang L, Wang Z, Zhao XQ (2015) Threshold dynamics of a time periodic reaction-diffusion epidemic model with latent period. J Differ Equ 258:3011–3036
Zhao XQ (2017) Basic reproduction ratios for periodic compartmental models with time delay. J Dyn Differ Equ 29:67–82
Zhao XQ (2017) Dynamical Systems in Population Biology, 2nd ed. Springer, New York
Zhang L, Dailey PJ, Gettie A, Blanchard J, Ho DD (2002) The liver is a major organ for clearing simian immunodeficiency virus in rhesus monkeys. J Virol 76:5271–5273
Zhang F, Zhao XQ (2007) A periodic epidemic model in a patchy environment. J Math Anal Appl 325:496–516
Zhang C, Zhou S, Groppelli E, Pellegrino P, Williams I, Borrow P, Chain BM, Jolly C (2015) Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection. PLoS Comput Biol 11:1004179
Acknowledgements
Research of F.-B. Wang was supported in part by Ministry of Science and Technology, Taiwan; and National Center for Theoretical Sciences, National Taiwan University; and Chang Gung Memorial Hospital (BMRPD18, NMRPD5J0202 and CLRPG2L0051). C.-Y. Cheng was partially supported by the Ministry of Science and Technology of Taiwan, R.O.C. (MOST 109-2115-M-153-003). We sincerely thank Prof. Lei Zhang for helpful discussions on the numerical computation of the basic reproduction number. We are grateful to the Associate Editor, Prof. Yuan Lou, and two anonymous referees for their careful reading and helpful suggestions which led to significant improvements of our original manuscript.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
In this appendix, we will finish the proofs of Lemma 2.1, Lemma 2.2, Lemma 2.3, and Theorem 3.5.
Proof of Lemma 2.1
In view of system (2.16), we see that (2.13)–(2.14) admits a mild solution in the following integral form:
Clearly, F is locally Lipschitz continuous. Set \(\bar{a}=\max _{x\in {\bar{\Omega }},t\in [0,\omega ]} a(x,t)\), \({\bar{\beta }}_j=\max _{x\in {\bar{\Omega }},t\in [0,\omega ]} \beta _j(x,t)\) for \(j=V,~I\), and \({\underline{K}}=\min _{x\in {\bar{\Omega }},t\in [0,\omega ]} K(x,t)\). For any \((t,\phi )\in {\mathbb {R}}_+\times {\mathbb {C}}_{\tau }^+\) and \(\xi >0\), we observe that
which implies that
In addition, from (Hess 1991), the operator \( {\mathbb {T}}(t,s):{\mathbb {X}}^+\rightarrow {\mathbb {X}}^+\) is positive, for all \(t\ge s\). Consequently, Corollary 4 in (Martin and Smith 1990) implies that system (2.13)–(2.14) admits a unique non-continuable mild solution \(u(\cdot ,t;\phi )\) on its maximal existence interval \([0,t_{\phi })\) with \(u_0=\phi \), where \(t_{\phi }\le +\infty \), and \(u(\cdot ,t;\phi )\in {\mathbb {C}}_{\tau }^+\) for \(t\in [0,t_{\phi })\). Furthermore, by the analyticity of \( {\mathbb {T}}(t,s)\) with respective to \((t,s)\in {\mathbb {R}}^2\) with \(t>s\), we see that \(u(\cdot ,t;\phi )\) is a classical solution for \(t>\tau \).
Proof of Lemma 2.2
The proof is similar to those in (Zhang et al. 2015, Lemma 2.1), and we only sketch our arguments. For any \({\hat{\varphi }}\in {\mathbb {Y}}^+\), we can show that system (2.18) admits a unique solution \(w(\cdot ,t;{\hat{\varphi }})\) on its maximal existence interval \([0,t_{{\hat{\varphi }}})\), where \(t_{{\hat{\varphi }}}\le +\infty \), and \(w(\cdot ,t;{\hat{\varphi }})\in {\mathbb {Y}}^+\) for \(t\in [0,t_{{\hat{\varphi }}})\). Let
Then it follows from (2.18) that
where \(\hat{K}=\frac{\bar{a}\bar{K}}{{\underline{a}}}\). In view of (6.1) and the comparison principle, we see that
where \( \zeta _0>0\) is the unique positive root of the following quadratic equation
Thus, solutions of system (2.18) are ultimately bounded, and hence, \(t_{{\hat{\varphi }}}= +\infty \).
Therefore, we may define the solution maps \(S(t):{\mathbb {Y}}^+\rightarrow {\mathbb {Y}}^+\) associated with system (2.18). Since system (2.18) is scalar, we see that S(t) is strongly monotone for \(t>0\), see, e. g., pages 56 and 133 in (Smith 1995). Observing that the reaction term in (2.18)
is strictly subhomogeneous in the sense that \(f(x,t,\vartheta w)>\vartheta f(x,t,w)\) for \(\vartheta \in (0,1)\) and \(w>0\). Then the rest of the proofs are same to those in (Zhang et al. 2015, Lemma 2.1), and we omit the details.
Remark 6.1
In this remark, we further discuss the global dynamics of system (2.18) on \(C([-\tau ,0],{\mathbb {Y}}^+)\). For any \(\varphi \in C([-\tau ,0],{\mathbb {Y}}^+)\), we let \(w(\cdot ,t;\varphi (\cdot ,0))\) be the solution of system (2.18) with initial value \(w(\cdot ,0;\varphi (\cdot ,0))=\varphi (\cdot ,0)\in {\mathbb {Y}}^+\). Define
Then \(w_t\) defines the solution map of system (2.18) on \(C([-\tau ,0],{\mathbb {Y}}^+)\). Let \({\bar{P}}(\varphi )=w_\omega (\varphi )\) be the Poincaré map associated with system (2.18) on \(C([-\tau ,0],{\mathbb {Y}}^+)\). By Lemma 2.2, it follows that for any \(\varphi \in C([-\tau ,0],{\mathbb {Y}}^+)\), we see that the omega limit set of \(\varphi \) for \({\bar{P}}\) is \(\{u^*_{1,0}\}\), where \(u^*_{1,0}\in C([-\tau ,0],{\mathbb {Y}}^+)\) is defined by \(u^*_{1,0}(\cdot ,\theta )=u^*_1(\cdot ,0+\theta )=u^*_1(\cdot ,\theta )\), for \(\theta \in [-\tau ,0]\).
Proof of Lemma 2.3
In view of Lemma 2.1, we see that for any \(\phi \in {\mathbb {C}}_{\tau }^+\), system (2.13)–(2.14) has a unique solution \(u(\cdot ,t;\phi )\) on its maximal existence interval \([0,t_{\phi })\) with \(u_0=\phi \), where \(t_{\phi }\le +\infty \). In view of Lemma 2.2, we see that system (2.18) admits a unique positive \(\omega \)-periodic solution \(u_1^*(x,t)\) which is globally attractive in \({\mathbb {Y}}^+\). We further observe that the \(u_1\)-equation in system (2.13) is dominated by the equation (2.18). Thus, the comparison principle implies that there is a constant \(B_1>0\) such that for any \(\phi \in {\mathbb {C}}_{\tau }^+\), there exists a \(t_1(\phi )\) such that
We are ready to adopt the similar ideas in (Thieme and Zhao 2001), see also (Guo et al. 2012; Zhang et al. 2015), to establish the ultimate boundedness of \(u_i(x,t)\) for \(i=2,3\). Set \(U_i(t)=\int _{\Omega }u_i(x,t)dx\) for \(i=1,2,3\). Integrating the first equation in (2.13) over \(x\in \Omega \), and using the boundary condition, we see that
Let
and
Then (6.3) and (6.4) imply that
Integrating the \(u_2\)-equation in (2.13), and using the facts that \({\mathcal {G}}(t,t-\tau ,x,y)\) is bounded and (6.5), we obtain
where \(k_i\), \(i=1,2,3\), are some positive values independent of \(\phi \). Similarly, integrating the \(u_3\)-equation in (2.13) over \(\Omega \) yields
Let \(m:=\frac{2{\bar{\gamma }}}{{\underline{b}}}\) and \(k_4:=\min \{\frac{k_2}{k_3},\frac{1}{2}{\underline{b}},{\underline{c}}\}>0\). Then it follows from (6.6) and (6.7) that
This implies that we can find a \(t_2(\phi )\) with \(t_2(\phi )\ge t_1(\phi )\) such that
Using the positivity of solutions, (6.3), (6.8) and the facts that \({\mathcal {G}}(t,t-\tau ,x,y)\), \(\beta _V(x,t)\), \(\beta _I(x,t)\) are bounded, it derives from the second equation of (2.13) that there exist positive constants \(k_5\) and \(k_6\) such that
From (6.9) and the comparison principle, it follows that
Then there exists \(t_3(\phi )\ge t_2(\phi )+2\tau \) and \(B_2>\frac{mk_5+k_6}{m{\underline{b}}}\left( \frac{mk_1}{k_4}+1\right) \) such that
In view of the third equation in (2.13), and (6.10), we see that
From (6.11) and the comparison principle, it follows that
In view of (6.3), (6.10) and (6.12), we see that solutions of system (2.13)–(2.14) are ultimately bounded. Thus, \(t_{\phi }= +\infty \) for any \(\phi \in {\mathbb {C}}_{\tau }^+\).
Define the solution maps \(\Phi (t):{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {C}}_{\tau }^+\) associated with system (2.13)–(2.14) by
We can further show that \(\{\Phi (t)\}_{t\ge 0}\) is an \(\omega \)-periodic semiflow on \({\mathbb {C}}_{\tau }^+\) in the sense defined in (Zhao 2017a, Sect. 3.1). From the ultimate boundedness of \(u_i(x,t)\), for \(i=1,2,3\), it follows that \(\Phi (t):{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {C}}_{\tau }^+\) is point dissipative. In view of (Wu 1996, Theorem 2.1.8), we see that \(\Phi (t):{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {C}}_{\tau }^+\) is compact for each \(t>\tau \). Then it follows from (Magal and Zhao 2005, Theorem 2.9) that the Poincaré map \(\Phi (\omega )\) admits a global compact attractor in \({\mathbb {C}}_{\tau }^+\).
Theorem 3.5 states a threshold-type result on the global dynamics of system (2.13)–(2.14) in terms of \({\mathcal {R}}_0\). In order to prove Theorem 3.5, we first give a primary estimation for the solution.
Lemma 6.2
Let \(u(\cdot ,t;\phi )\) be the solution of system (2.13)–(2.14) on \([0,\infty )\) with \(u_0=\phi \in {\mathbb {C}}_{\tau }^+\). Then the following statements are valid:
-
(i)
If there exists some \(t_0\ge 0\) such that \(u_i(\cdot ,t_0;\phi )\not \equiv 0\) for some \(i\in \{2,3\}\), then \(u_i(x,t;\phi )>0\), \(\forall \ t>t_0\), \(x\in {\bar{\Omega }}\).
-
(ii)
For any \(\phi \in {\mathbb {C}}_{\tau }^+\), we have
$$\begin{aligned} u_1(x,t;\phi )>0,\ \forall t>0,\ x\in {\bar{\Omega }}, \end{aligned}$$(6.13)and
$$\begin{aligned} \liminf \limits _{t\rightarrow \infty }u_1(x,t;\phi )\ge {\hat{\varrho }}, \ \text{ uniformly } \text{ for }\ x\in {\bar{\Omega }}, \end{aligned}$$(6.14)where \( {\hat{\varrho }}\) is a positive constant independent of \(\phi \).
Proof
Part (i). From the second and third equations of (2.13) and the positivity of solutions, one can easily see that for a given \(\phi \in {\mathbb {C}}_{\tau }^+\), \(u_2(x,t;\phi )\) and \(u_3(x,t;\phi )\), respectively, satisfy
and
By the parabolic maximum principle, see, e.g. (Hess 1991), it follows that the results in Part (i) hold.
Part (ii). By the positivity of solutions (see Lemma 2.1), it follows that
Suppose that (6.13) was not true, that is, there exists \(x_0\in {\bar{\Omega }}\) and \(t_0\in (0,\infty )\) such that \(u_1(x_0,t_0;\phi )=0\). Let \({\mathcal {T}}_0>0\) be such that \(t_0<{\mathcal {T}}_0\). Then \((x_0, t_0)\in {\bar{\Omega }} \times [0,{\mathcal {T}}_0]\) and \(u_1\) attains its minimum on \({\bar{\Omega }} \times [0,{\mathcal {T}}_0]\) at the point \((x_0, t_0)\). In view of the first equation of (2.13), we have
In case \(x_0\in \partial \Omega \), we apply the Hopf boundary lemma, see e.g. (Hess 1991, Sect. II.13), and get \(\frac{\partial u_1}{\partial \nu }(x_0, t_0)<0\), which contradicts the boundary condition of \(u_1\). In case \(x_0\in \Omega \), we apply the strong maximum principle, see e.g. (Hess 1991, Section II.13), to obtain that \(u_1(x,t)\equiv u_1(x_0, t_0)=0,\ \forall \ (x,t)\in {\bar{\Omega }}\times [0,{\mathcal {T}}_0]\). Inserting this result into the first equation of (2.13), it leads to \(\Lambda (x,t)\equiv 0,\ \forall \ (x, t)\in {\bar{\Omega }} \times [0,{\mathcal {T}}_0]\), a contradiction. Thus, (6.13) is true.
Next, we establish the result in (6.14). By Lemma 2.3, it follows that solutions of (2.13)–(2.14) are ultimately bounded. Thus, there is a constant \(\hat{B}>0\) such that for any \(\phi \in {\mathbb {C}}_{\tau }^+\), there exists a \(t_1>0\) such that
For \(x\in \Omega ,\ t\ge t_1\), it follows from the first equation of (2.13) that
where
and \({\underline{\Lambda }}=\min _{x\in {\bar{\Omega }},t\in [0,\omega ]}\Lambda (x,t)\). By (6.18) and the comparison principle, we see that
which establishes (6.14). \(\square \)
Proof of Theorem 3.5
Recall that \(\Phi (t)(\cdot ):=u_t(\cdot ):{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {C}}_{\tau }^+\) is an \(\omega \)-periodic semiflow of system (2.13)–(2.14) (see Lemma 2.3), and let \(Q:=\Phi (\omega )\) be the associated Poincaré map on \({\mathbb {C}}_{\tau }^+\).
Part (i). In the case where \({\mathcal {R}}_0<1\), Lemma 3.1 implies that \(r(P(\omega ))<1\), and hence \(\mu =\frac{\ln [r(P(\omega ))]}{\omega }<0\). Consider the following system with a parameter \(\varepsilon >0\):
For any \(\psi \in C([-\tau ,0],{\mathbb {E}})\), let \(v^{\varepsilon }(x,t;\psi )=(v^{\varepsilon }_1(x,t;\psi ),v^{\varepsilon }_2(x,t;\psi ))\) be the unique solution of system (6.19) with \(v^{\varepsilon }_0(\psi )(x,\theta )=\psi (x,\theta )\) for all \(\theta \in [-\tau ,0],\ x\in \Omega \), where
for any \(t\ge 0\) and \(x\in \Omega \). Let \(P_{\varepsilon }(\omega ):C([-\tau ,0],{\mathbb {E}})\rightarrow C([-\tau ,0],{\mathbb {E}})\) be the Poincaré map of system (6.19), i.e., \(P_{\varepsilon }(\omega )\psi =v_{\omega }^{\varepsilon }(\psi )\), \(\forall \psi \in C([-\tau ,0],{\mathbb {E}})\), and let \(r(P_{\varepsilon }(\omega ))\) be the spectral radius of \(P_{\varepsilon }(\omega )\). Since \(\lim \limits _{\varepsilon \rightarrow 0}r(P_{\varepsilon }(\omega ))=r(P(\omega ))<1\), we can fix a sufficiently small number \(\varepsilon _0>0\) such that \(r(P_{\varepsilon _0}(\omega ))<1\). By Lemma 3.2, there is a positive \(\omega \)-periodic function \(v^*_{\varepsilon _0}(x,t)\) such that \(v^{\varepsilon _0}(x,t)=e^{\mu _{\varepsilon _0} t}v^*_{\varepsilon _0}(x,t)\) is a solution of system (6.19), where \(\mu _{\varepsilon _0}=\frac{\ln [r(P_{\varepsilon _0}(\omega ))]}{\omega }<0\). In view of the first equation in (2.13), we see that
By the global attractivity of \(u_1^*(x,t)\) for system (2.18) (see Lemma 2.2) and the comparison principle, there exists a sufficiently large integer \(n_1>0\) such that \(n_1\omega >\tau \) and
From the second and third equations in (2.13), it follows that for any \(t\ge n_1\omega \), \(x\in \Omega \), we have
with the no flux boundary condition. For any \(\phi \in {\mathbb {C}}_{\tau }^+\), we may find a \(m_1>0\) such that
By the comparison theorem for abstract functional differential equation, see e.g. (Martin and Smith 1990, Proposition 1), it follows that
Since \(\mu _{\varepsilon _0}<0\), we see that \(\lim \limits _{t\rightarrow \infty }(u_2(x,t;\phi ),u_3(x,t;\phi ))=(0,0)\) uniformly for \(x\in {\bar{\Omega }}\). Then the \(u_1\)-equation in (2.13) is asymptotic to system (2.18).
Next, we are ready to use the theory of internally chain transitive sets, see e.g. (Hirsch et al. 2001; Zhao 2017b), to prove the following result
where \(u_1^*(x,t)\) is a globally attractive solution of system (2.18). Let \({\mathcal {J}}\) be the omega limit set of \(\phi \in {\mathbb {C}}_{\tau }^+\) for \(Q:=\Phi (\omega )\). Since \(\lim \limits _{t\rightarrow \infty }u_i(x,t;\phi )=0 \ (i=2,3)\) uniformly for \(x\in {\bar{\Omega }}\), we have \({\mathcal {J}}={\mathcal {J}}_1\times \{\hat{0}\}\times \{\hat{0}\}\), where \({\hat{0}}(\cdot ,\theta )=0\), \(\forall \ \theta \in [-\tau ,0]\). By (Hirsch et al. 2001, Lemma 2.1), see also (Zhao 2017b, Lemma 1.2.1), we note that \({\mathcal {J}}\) is an internally chain transitive set for Q, and we can further show that \({\mathcal {J}}_1\) is an internally transitive chain set for \({\bar{P}}\), where \({\bar{P}}\) is the Poincaré map associated with system (2.18) on \(C([-\tau ,0],{\mathbb {Y}}^+)\) (see Remark 6.1). By (6.14) in Lemma 6.2, we see that \({\mathcal {J}}_1\ne \{\hat{0}\}\). Since \(u^*_{1,0}\) defined in Remark 6.1 is globally attractive in \(C([-\tau ,0],{\mathbb {Y}}^+)\) for \({\bar{P}}\), we have \({\mathcal {J}}_1\cap W^s(\{u^*_{1,0}\})\ne \emptyset \), where \(W^s(\{u^*_{1,0}\})\) is the stable set of \(\{u^*_{1,0}\}\). By (Hirsch et al. 2001, Theorem 3.1), see also (Zhao 2017b, Theorem 1.2.1), we get \({\mathcal {J}}_1\subseteq \{u^*_{1,0}\}\), that is, \({\mathcal {J}}_1=\{u^*_{1,0}\}\). This proves
Thus, \((u_1^*(x,t),\hat{0},\hat{0})\) is globally attractive for system (2.13)–(2.14) in \({\mathbb {C}}_{\tau }^+\).
Part (ii). In the case where \({\mathcal {R}}_0>1\), Lemma 3.1 implies that \(r(P(\omega ))>1\), and hence \(\mu =\frac{\ln [r(P(\omega ))]}{\omega }>0\).
Let
and
Note that for any \(\phi \in {\mathbb {W}}_0\), Lemma 6.2 implies that \(u_i(x,t;\phi )>0, \forall \ t>0,\ x\in {{\bar{\Omega }}} \ (i=1,2,3)\). It follows that \(Q^n{\mathbb {W}}_0\subset {\mathbb {W}}_0\), \(\forall n\in {\mathbb {N}}\). In view of Lemma 2.3, we know that Q admits a global attractor in \({\mathbb {C}}_{\tau }^+ \).
Let
and \(\omega (\phi )\) be the omega limit set of the orbit \(\gamma ^+=\{Q^n\phi : \forall n\in {\mathbb {N}}\}\). Set \(M=(u^*_{1,0},{\hat{0}},{\hat{0}})\), where \(u^*_{1,0}\in C([-\tau ,0],{\mathbb {Y}}^+)\) is defined by \(u^*_{1,0}(\cdot ,\theta )=u^*_1(\cdot ,0+\theta )=u^*_1(\cdot ,\theta )\), for \(\theta \in [-\tau ,0]\) (see Remark 6.1). Then the following claim indicates that \(\{M\}\) cannot form a cycle for Q in \(\partial {\mathbb {W}}_0\).
Claim 1
For any \({\hat{\phi }}\in {\mathbb {M}}_{\partial }\), the omega limit set \(\omega ({\hat{\phi }})=\{M\}\).
For any given \({\hat{\phi }}\in {\mathbb {M}}_{\partial }\), \(Q^n({\hat{\phi }})\in \partial {\mathbb {W}}_0\), \(\forall \ n\in {\mathbb {N}}\). Thus, for each \(n\in {\mathbb {N}}\), either \(u_2(\cdot ,n\omega ;{\hat{\phi }})\equiv 0\) or \(u_3(\cdot ,n\omega ;{\hat{\phi }})\equiv 0\). It then follows that for each \(t\ge 0\), \(u_2(\cdot ,t;{\hat{\phi }})\equiv 0\) or \(u_3(\cdot ,t;{\hat{\phi }})\equiv 0\). Otherwise, it contradicts Lemma 6.2. In case where \(u_3(\cdot ,t;{\hat{\phi }})\equiv 0\) for \(t\ge 0\). Then it follows from the third equation of (2.13) that \(u_2(\cdot ,t;{\hat{\phi }})\equiv 0\) for \(t\ge 0\). Thus, \(u_1(\cdot ,t;{\hat{\phi }})\) satisfies system (2.18) for \(t\ge 0\), and hence, Lemma 2.2 implies that \(\lim \limits _{t\rightarrow \infty }(u_1(x,t;{\hat{\phi }})-u_1^*(x,t))=0\) uniformly for \(x\in {\bar{\Omega }}\). In case where \(u_3(\cdot ,t_0;{\hat{\phi }})\not \equiv 0\) for some \(t_0\ge 0\). Then it follows from Lemma 6.2 that \(u_3(\cdot ,t;{\hat{\phi }})> 0 ,\ \forall \ t >t_0\). This implies that \(u_2(\cdot ,t;{\hat{\phi }})\equiv 0,\ \forall \ t >t_0\). Inserting this equality into the second equation of (2.13), we derive
which is a contradiction. From the above discussions, Claim 1 holds.
Consider the following system with a parameter \(\delta >0\):
For any \(\psi \in C([-\tau ,0],{\mathbb {E}})\), let \(v^{\delta }(x,t;\psi )=(v^{\delta }_1(x,t;\psi ),v^{\delta }_2(x,t;\psi ))\) be the unique solution of system (6.21) with \(v^{\delta }_0(\psi )(x,\theta )=\psi (x,\theta )\) for all \(\theta \in [-\tau ,0],\ x\in \Omega \), where
for any \(t\ge 0\) and \(x\in \Omega \). Let \(P_{\delta }(\omega ):C([-\tau ,0],{\mathbb {E}})\rightarrow C([-\tau ,0],{\mathbb {E}})\) be the Poincáre map of system (6.21) , i.e., \(P_{\delta }(\omega )\psi =v_{\omega }^{\delta }(\psi )\), \(\forall \psi \in C([-\tau ,0],{\mathbb {E}})\), and let \(r(P_{\delta }(\omega ))\) be the spectral radius of \(P_{\delta }(\omega )\). Since \(\lim \limits _{\delta \rightarrow 0}r(P_{\delta }(\omega ))=r(P(\omega ))>1\), we can fix a sufficiently small number \(\delta _0>0\) such that
From the continuous dependence of solutions on the initial values, for the fixed \(\delta _0 >0\), there exists a \(\delta ^*>0\) such that for any \(\phi \in {\mathbb {C}}_{\tau }^+\) with \(\Vert \phi -M\Vert \le \delta ^*\), we have \(\Vert \Phi (t)\phi -\Phi (t)M\Vert <\delta _0\) for all \(t\in [0,\omega ]\). We now prove the following claim.
Claim 2
\(\lim \sup _{n\rightarrow \infty }\Vert Q^n(\phi )-M\Vert \ge \delta ^*,\ \forall \ \phi \in {\mathbb {W}}_0\).
Suppose, by contradiction, that \(\lim \sup _{n\rightarrow \infty }\Vert Q^n(\phi _0)-M\Vert < \delta ^*\) for some \(\phi _0\in {\mathbb {W}}_0\). Then there exists \(n_2\ge 1\) such that \(\Vert Q^n(\phi _0)-M\Vert < \delta ^*\) for \(n\ge n_2\). For any \(t\ge n_2\omega \), letting \(t=n\omega +t'\) with \(n=[t/\omega ]\) and \(t'\in [0,\omega )\), we have
We also note that
In view of (6.22), (6.23) and Lemma 6.2, it follows that
for any \(t\ge n_2\omega -\tau \), and \(x\in {\bar{\Omega }}\). By the second and third equations in (2.13) and using (6.24), for \(t\ge n_2\omega \), we see that \(u_2(x,t;\phi _0)\) and \(u_3(x,t;\phi _0)\) satisfy
By Lemma 3.2, there is a positive \(\omega \)-periodic function \(v^*_{\delta _0}(x,t)\) such that \(v^{\delta _0}(x,t)=e^{\mu _{0} t}v^*_{\delta _0}(x,t)\) is a solution of system (6.21), where \(\mu _{0}=\frac{\ln [r(P_{\delta _0}(\omega ))]}{\omega }>0\). From Lemma 6.2, we see that \(u(x,t;\phi _0)\gg 0\) for all \(t\ge 0\) and \(x\in {\bar{\Omega }}\). Then there exists an \(m_2>0\) such that
From (6.25), (6.26), and the comparison principle, it follows that
Since \(\mu _{0}>0\), it is easy to see that \(u_i(\cdot ,t;\phi _0)\rightarrow +\infty \ (i=2,3)\) as \(t\rightarrow +\infty \). This contradicts (6.24).
The above claim implies that M is an isolated invariant set for Q in \({\mathbb {C}}_{\tau }^+\), and \(W^s(M)\bigcap {\mathbb {W}}_0=\emptyset \), where \(W^s(M)\) is the stable set of M for Q. By (Magal and Zhao 2005, Theorem 3.7), as applied to Q, we know that Q admits a global attractor \(A_0\) in \({\mathbb {W}}_0\). It then follows from (Zhao 2017b, Theorem 1.3.1) that Q is uniformly persistent with respect to \(({\mathbb {W}}_0,\partial {\mathbb {W}}_0)\) in the sense that there exists \({\tilde{\varrho }}>0\) such that
Next, we establish the practical persistence. Since \(A_0=QA_0=\Phi (\omega )A_0\), we have that \(\phi _2(\cdot ,0)>0\) and \(\phi _3(\cdot ,0)>0\) for all \(\phi \in A_0\). Let \(B_0:=\bigcup \limits _{t\in [0,\omega ]}\Phi (t)A_0\). Then \(B_0\subset {\mathbb {W}}_0\) and \(\lim \limits _{t\rightarrow \infty }\text {d}(\Phi (t)\phi ,B_0)=0\), \(\forall \phi \in {\mathbb {W}}_0\). Define a continuous function \(p:{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {R}}_+\) by
Since \(B_0\) is a compact subset of \({\mathbb {W}}_0\), it follows that \(\inf \limits _{\phi \in B_0}p(\phi )=\min \limits _{\phi \in B_0}p(\phi )>0\). Consequently, there exists a \(\varrho ^*>0\) such that
Let \(\varrho :=\min \{{\hat{\varrho }},\ \varrho ^*\}\), where \({\hat{\varrho }}\) is given in Lemma 6.2 (ii). Then it follows from Lemma 6.2 and (6.28) that
It remains to prove the existence of a positive periodic solution. By (Zhao 2017b, Theorem 3.5.1 and Remark 3.5.1), it follows that for each \(t>0\), the solution map \(\Phi (t):{\mathbb {C}}_{\tau }^+\rightarrow {\mathbb {C}}_{\tau }^+\) is an \(\alpha \)-contraction with respect to an equivalent norm on \({\mathbb {C}}_{\tau }^+\). Applying (Magal and Zhao 2005, Theorem 4.5) to \(Q=\Phi (\omega )\), it reveals that Q has a fixed point in \(A_0\). Thus, system (2.13)–(2.14) has an \(\omega \)-periodic solution \((\bar{u}_1(\cdot ,t),\bar{u}_2(\cdot ,t),\) \(\bar{u}_3(\cdot ,t))\) with \((\bar{u}_{1t},\bar{u}_{2t},\bar{u}_{3t})\in {\mathbb {W}}_0\). By Lemma 6.2, we see that \((\bar{u}_1(\cdot ,t),\bar{u}_2(\cdot ,t),\) \(\bar{u}_3(\cdot ,t))\) is a (componentwise) positive solution of system (2.13)–(2.14). The proof is finished.
Rights and permissions
About this article
Cite this article
Wang, FB., Cheng, CY. A diffusive virus model with a fixed intracellular delay and combined drug treatments. J. Math. Biol. 83, 19 (2021). https://doi.org/10.1007/s00285-021-01646-7
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00285-021-01646-7