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Threshold asymptotic dynamics for a spatial age-dependent cell-to-cell transmission model with nonlocal disperse

Salih Djilali, Laboratoire d'Analyse Non Linéaire et Mathématiques Appliqués, Université de Tlemcen, Tlemcen 13000, Algeria

2023Discrete and Continuous Dynamical Systems - B33 citationsDOIOpen Access PDF

Abstract

This research is concerned to study the global threshold dynamics of a hybrid viral infection model, with the assumption that all parameters are space dependent. The considered hybrid model contains three principal equations, the first is an ordinary differential equation that represents the uninfected cells, an age-structured equation modeled by the transport equation for infected-cells, and a diffusive equation that studies the evolution of the virus. The challenging mathematical aspect of this research lies in the fact that the model is partially degenerate and the solution map is not compact. Also, understanding the global threshold dynamics in terms of this partial degeneracy, mostly with age-structured equation and nonlocal diffusion is the ultimate challenging point of this research. The existence and the uniqueness of a global solution are proved. Further, the existence of a global compact attractor is shown. Moreover, the basic reproduction number $ \mathfrak{R}_0 $ is identified for the model with its threshold role: If $ \mathfrak{R}_0<1 $, the infection-free-steady state is globally asymptotically stable; for $ \mathfrak{R}_0>1 $, the solution of the studied model is uniformly persistent and the pathogen persists in a unique positive steady state, which it is shown using the Lyapunov approach. The results are supported by some graphical representations for illustrating the finding.

Topics & Concepts

UniquenessMathematicsOrdinary differential equationDegeneracy (biology)AttractorBasic reproduction numberDegenerate energy levelsDynamics (music)Partial differential equationStability theorySteady state (chemistry)Differential equationMathematical analysisApplied mathematicsStatistical physicsPhysicsPopulationQuantum mechanicsDemographyAcousticsChemistrySociologyPhysical chemistryBiologyNonlinear systemBioinformaticsMathematical and Theoretical Epidemiology and Ecology ModelsEvolution and Genetic DynamicsMathematical Biology Tumor Growth