Abstract
This paper is devoted to the study of a nonlocal reaction–diffusion model of Chikungunya disease with periodic time delays. We establish two threshold type results on the global dynamics for the growth of mosquitoes and the disease transmission, respectively. Further, we obtain the global attractivity of a positive steady state for a simplified nonlocal and time-delayed system with constant coefficients. We also conduct numerical simulations for the Chikungunya transmission in Ceará, Brazil to investigate the effects of spatial heterogeneity on the disease transmission.
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The data used or analyzed during the current study are available from Zhimin Li upon reasonable request.
References
Aguiar, B.S., Lorenz, C., Virginio, F., et al.: Potential risks of Zika and chikungunya outbreaks in Brazil: a modeling study. Int. J. Infect. Dis. 70, 20–29 (2018)
Bai, Z., Peng, R., Zhao, X.-Q.: A reaction–diffusion malaria model with seasonality and incubation period. J. Math. Biol. 77, 201–228 (2018)
Deimling, K.: Nonlinear Functional Analysis. Springer-Verlag, Berlin, Heidelberg (1985)
Dumont, Y., Chiroleu, F.: Vector control for the Chikungunya disease. Math. Biosci. Eng. 7, 313–345 (2010)
Dumont, Y., Tchuenche, J.M.: Mathematical studies on the sterile insect technique for the Chikungunya disease and Aedes albopictus. J. Math. Biol. 65, 809–854 (2012)
Figueiredo, L.T.M.: Large outbreaks of Chikungunya virus in Brazil reveal uncommon clinical features and fatalities. Rev. Soc. Bras. Med. Trop. 50, 583–584 (2017)
Hess, P.: Periodic-Parabolic Boundary Value Problems and Positivity. Longman Scientific and Technical, Harlow (1991)
Jin, Y., Zhao, X.-Q.: Spatial dynamics of a nonlocal periodic reaction–diffusion model with stage structure. SIAM J. Math. Anal. 40, 2496–2516 (2009)
Kakarla, S.G., Mopuri, R., Mutheneni, S.R., et al.: Temperature dependent transmission potential model for chikungunya in India. Sci. Total Environ. 647, 66–74 (2019)
Khan, K., Bogoch, I., Brownstein, J.S., et al.: Assessing the origin of and potential for international spread of Chikungunya virus from the Caribbean. PLoS Curr. 6, 1–11 (2014)
Li, F., Zhao, X.-Q.: Global dynamics of a nonlocal periodic reaction–diffusion model of bluetongue disease. J. Differ. Equ. 272, 127–163 (2021)
Liang, X., Zhang, L., Zhao, X.-Q.: Basic reproduction ratios for periodic abstract functional differential equations (with application to a spatial model for Lyme disease). J. Dynam. Differ. Equ. 31, 1247–1278 (2019)
Liu, X., Stechlinski, P.: Application of control strategies to a seasonal model of Chikungunya disease. Appl. Math. Model. 39, 3194–3220 (2015)
Liu, X., Wang, Y., Zhao, X.-Q.: Dynamics of a climate-based periodic Chikungunya model with incubation period. Appl. Math. Model. 80, 151–168 (2020)
Liu, X., Wang, Y., Zhao, X.-Q.: Dynamics of a periodic Chikungunya model with temperatre and rainfall effects. Commun. Nonlinear Sci. Numer. Simulat. 90, 105409 (2020)
Lou, Y., Zhao, X.-Q.: A theoretical approach to understanding population dynamics with seasonal developmental durations. J. Nonlinear Sci. 27, 573–603 (2017)
Lou, Y., Zhao, X.-Q.: Periodic Ross–Macdonald model with diffusion and advection. Appl. Anal. 89, 1067–1089 (2010)
Martin, R.H., Smith, H.L.: Abstract functional differential equations and reaction–diffusion systems. Trans. Am. Math. Soc. 321, 1–44 (1990)
Moore, C.G., Cline, B.L., Ruiztiben, E., et al.: Aedes aegypti in Puerto Rico: environmental determinants of larval abundance and relation to dengue virus transmission. Am. J. Trop. Med. Hyg. 27, 1225–1231 (1978)
Nunes, M.R.T., Faria, N.R., de Vasconcelos, J.M., et al.: Emergence and potential for spread of Chikungunya virus in Brazil. BMC Med. 13, 1–11 (2015)
Naveca, F.G., et al.: Genomic, epidemiological and digital surveillance of Chikungunya virus in the Brazilian Amazon. PLoS Neglect. Trop. D 13, e0007065 (2019)
Nsoesie, E.O., Kraemer, M.U., et al.: Global distribution and environmental suitability for Chikungunya virus, 1952 to 2015. Euro. Surveill. 21, 7–18 (2016)
Nussbaum, R.D.: Eigenvectors of nonlinear positive operators and the linear Krein–Rutman theorem. In: Fixed Point Theory, Lecture Notes in Math., vol. 886, pp. 309–331. Springer-Verlag (1981)
Perkins, T.A., Metcalf, C.J.E., et al.: Estimating drivers of autochthonous transmission of Chikungunya virus in its invasion of the Americas. PLoS Curr. 7, 1–19 (2015)
Pialoux, G., Gauzere, B.A., et al.: Chikungunya, an epidemic arbovirosis. Lancet Infect. Dis. 7, 319–327 (2007)
Rezza, G., Nicoletti, L., Angelini, R., et al.: Infection with Chikungunya virus in Italy: an outbreak in a temperate region. Lancet 370, 1840–1846 (2007)
Sergon, K., Njuguna, C., Kalani, R., et al.: Seroprevalence of Chikungunya virus (CHIKV) infection on Lamu Island, Kenya. Am. J. Trop. Med. Hyg. 78(2008), 333–337 (2004)
Silva Junior, G.B., Pinto, J.R., Mota, R.M.S., et al.: Risk factors for death among patients with Chikungunya virus infection during the outbreak in northeast Brazil, 2016-2017. Trans. R. Soc. Trop. Med. Hyg. 113, 221–226 (2019)
Smith, H.L.: Monotone Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative Systems. American Mathematical Society, Providence, RI (1995)
Thiberville, S.D., Moyen, N., Dupuis-Maguiraga, L., et al.: Chikungunya fever: epidemiology, clinical syndrome, pathogenesis and therapy. Antiviral Res. 99, 345–370 (2013)
Thieme, H.R.: Spectral bound and reproduction number for infinite-dimensional population structure and time heterogeneity. SIAM J. Appl. Math. 70, 188–211 (2009)
Valdez, L.D., Sibona, G.J., Condat, C.A.: Impact of rainfall on Aedes aegypti populations. Ecol. Model. 385, 96–105 (2018)
Wang, F.-B., Wu, R., Zhao, X.-Q.: A west Nile virus transmission model with periodic incubation periods. SIAM J. Appl. Dyn. Syst. 18, 1498–1535 (2019)
Wang, W., Zhao, X.-Q.: A nonlocal and time-delayed reaction–diffusion model of dengue transmission. SIAM J. Appl. Math. 71, 147–168 (2011)
Wang, W., Zhao, X.-Q.: Basic reproduction numbers for reaction–diffusion epidemic models. SIAM J. Appl. Dyn. Syst. 11, 1652–1673 (2012)
Weaver, S.C.: Evolutionary influences in arboviral disease. Curr. Top. Microbiol. Immunol. 299, 285–314 (2006)
Wu, R., Zhao, X.-Q.: A reaction–diffusion model of vector-borne disease with periodic delays. J. Nonlinear Sci. 29, 29–64 (2019)
Zhao, X.-Q.: Basic reproduction ratios for periodic compartmental models with time delay. J. Dynam. Differ. Equ. 29, 67–82 (2017)
Zhao, X.-Q.: Dynamical Systems in Population Biology, 2nd edn. Springer, New York (2017)
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The research is supported in part by the NSERC of Canada (RGPIN-2019-05648).
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Zhimin Li: Conceptualization, Methodology, Formal analysis, Software, Writing—original draft. Xiao-Qiang Zhao: Conceptualization, Methodology, Writing—review and editing.
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Appendix
Appendix
Proof of Theorem 4.10
From the analysis on the ultimate boundedness for system (2.4), we see that the set
is positively invariant for the solution semiflow Q(t) of system (4.8), and every forward orbit of system (4.8) from U enters H eventually. Therefore, it suffices to study the dynamics of system (4.8) on H. Note that cases (i) and (ii) are the straightforward consequences of Theorem 4.8 (i) and (ii) with \(\rho = 0\). It remains to prove (iii). When \({\mathscr {R}}_m >1\) and \({\mathscr {R}}_0>1\), it follows from Theorem 4.8 (iii) that system (4.8) is uniformly persistent, that is, there exists \(\xi > 0\) such that for any \(\phi = \left( {\phi _1,\phi _2,\phi _3,\phi _4,\phi _5,\phi _6 } \right) \in H\) with \(\phi _2(0,\cdot )\not \equiv 0\) or \(\phi _6(0,\cdot )\not \equiv 0\), the solution \(u=(t,x,\phi )\) satisfies
Let \(H_0: = \left\{ {\phi \in H:\phi _i (0,x) > 0,\forall x \in {{\bar{\Omega }}},i = 1,2,3,4,5,6} \right\} \!.\) Next, we show that the system (4.8) is globally attractive by the method of Lyapunov functionals. Set \(f(u) = u - 1 - \ln u,u \in (0,\infty )\). Clearly, \(f(u) \geqslant 0\) for all \(u \in (0,\infty )\) and \(\min _{0< u < + \infty } f(u) = f(1) = 0\). Define a continuous functional \(V:H_0 \rightarrow {\mathbb {R}}\):
where
and
Next we fix \(\phi = \left( {\phi _1,\phi _2,\phi _3,\phi _4,\phi _5,\phi _6 } \right) \in H\) with \(\phi _2(0,\cdot )\not \equiv 0\) or \(\phi _6(0,\cdot )\not \equiv 0\). From (6.1), without loss of generality, we can assume that \(u_t (\phi ) \in H_0,\forall t \geqslant 0\). Let \(\omega (\phi )\) be the omega limit set for the semiflow Q(t). Then \(\omega (\phi ) \subset H_0\). Now we calculate the time derivative of \(V(u_t(\phi ))\) along the solution of system (4.8). It then follows that
and
Clearly, \(\ln v \leqslant \frac{v}{u} + \ln u - 1,\forall u,v > 0\), and hence, \(2 - u - \frac{v}{u} + \ln v \leqslant 0\) and \(2 - u - \frac{v}{u} + \ln v = 0\) if and only if \(u=v=1\). In particular, \(2 - u - \frac{1}{u} \leqslant 0\) and \(1 - v + \ln v \leqslant 0\). Note that \(\int _\Omega {\Delta u} dx = 0\) and \(\int _\Omega {\frac{{\Delta u}}{u}} dx = \int _\Omega {\frac{{\left\| {\nabla u} \right\| ^2 }}{{u^2 }}} dx\). Thus, we have
Note that \({V\left( {u_t (\phi )} \right) }\) is nonincreasing and bounded below on \([0,\infty )\), so there is a real number \(L \geqslant 0\) such that \(\lim _{t \rightarrow \infty } V\left( {u_t (\phi )} \right) = L\). For any \(\psi \in \omega (\phi )\), there is a sequence \(t_n \rightarrow \infty \) such that \(\lim _{n \rightarrow \infty } u_{t_n } (\phi ) = \psi \) in \(H_0\). This shows that \(V(\psi ) = L,\forall \psi \in \omega (\phi )\). Since \(u_t (\psi ) \in \omega (\phi )\), it follows that \(V(u_t (\psi )) = L,\forall t \geqslant 0\), and hence, \(\frac{{dV(u_t (\psi ))}}{{dt}} = 0\). Replacing \(\phi \) in (6.2) with \(\psi \), we have \(0 = \frac{{dV(u_t (\psi ))}}{{dt}} \leqslant U_\psi (t) \leqslant 0\). This implies that \(U_\psi (t) = 0,\forall t \geqslant 0\). Combining with system (4.8), we obtain \(u_t (\psi ) = u^*,\forall t \geqslant \max \left\{ {\tau _h,\tau _m,\tau _w } \right\} \). Since \(\psi \in \omega (\phi )\) is arbitrary, there also holds \(u_t (\omega (\phi )) = u^*,\forall t \geqslant \max \left\{ {\tau _h,\tau _m,\tau _w } \right\} \). In view of the invariance of omega limit sets, it is easy to see that \(\omega (\phi ) = u_\tau (\omega (\phi )) = u^*,\tau = \max \left\{ {\tau _h,\tau _m,\tau _w } \right\} \), which implies that \(\lim _{t \rightarrow \infty } u_t (\phi ) = u^*\). \(\square \)
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Li, Z., Zhao, XQ. Global dynamics of a Nonlocal Periodic Reaction–Diffusion Model of Chikungunya Disease. J Dyn Diff Equat (2023). https://doi.org/10.1007/s10884-023-10267-1
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DOI: https://doi.org/10.1007/s10884-023-10267-1
Keywords
- Chikungunya disease
- Reaction–diffusion system
- Periodic time delays
- Threshold dynamics
- Global attractivity