We generalize the model proposed in [Adimy, Babin, Pujo-Menjouet, SIAM Journal on Applied Dynamical Systems (2022)] for prion infection to a network of neurons. We do so by applying a so-called multigroup approach to the system of Delay Differential Equations (DDEs) proposed in the aforementioned paper. We derive the classical threshold quantity R0, i.e. the basic reproduction number, exploiting the fact that the DDEs of our model qualitatively behave like Ordinary Differential Equations (ODEs) when evaluated at the Disease Free Equilibrium. We prove analytically that the disease naturally goes extinct when R0 < 1, whereas it persists when R0 > 1. We conclude with some selected numerical simulations of the system, to illustrate our analytical results.
A MULTIGROUP APPROACH TO DELAYED PRION PRODUCTION / Adimy, M.; Chekroun, A.; Pujo-Menjouet, L.; Sensi, M.. - In: DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS. SERIES B.. - ISSN 1531-3492. - 29:7(2024), pp. 2972-2998. [10.3934/dcdsb.2023209]
A MULTIGROUP APPROACH TO DELAYED PRION PRODUCTION
Sensi M.
2024
Abstract
We generalize the model proposed in [Adimy, Babin, Pujo-Menjouet, SIAM Journal on Applied Dynamical Systems (2022)] for prion infection to a network of neurons. We do so by applying a so-called multigroup approach to the system of Delay Differential Equations (DDEs) proposed in the aforementioned paper. We derive the classical threshold quantity R0, i.e. the basic reproduction number, exploiting the fact that the DDEs of our model qualitatively behave like Ordinary Differential Equations (ODEs) when evaluated at the Disease Free Equilibrium. We prove analytically that the disease naturally goes extinct when R0 < 1, whereas it persists when R0 > 1. We conclude with some selected numerical simulations of the system, to illustrate our analytical results.File | Dimensione | Formato | |
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Delayed_Prion.pdf
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Cell_synchronisation_with_prion.pdf
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https://hdl.handle.net/11583/2993458