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A geometric analysis of the SIR, SIRS and SIRWS epidemiological models

Jardon-Kojakhmetov H., Kuehn C., Andrea Pugliese, Mattia Sensi

2021Institutional Research Information System (Università degli Studi di Trento)65 citationsDOIOpen Access PDF

Abstract

We study fast–slow versions of the SIR, SIRS, and SIRWS epidemiological models. The multiple time scale behaviour is introduced to account for large differences between some of the rates of the epidemiological pathways. Our main purpose is to show that the fast–slow models, even though in nonstandard form, can be studied by means of Geometric Singular Perturbation Theory (GSPT). In particular, without using Lyapunov's method, we are able to not only analyse the stability of the endemic equilibria but also to show that in some of the models limit cycles arise. We show that the proposed approach is particularly useful in more complicated (higher dimensional) models such as the SIRWS model, for which we provide a detailed description of its dynamics by combining analytic and numerical techniques.

Topics & Concepts

Stability (learning theory)Applied mathematicsSingular perturbationMathematicsPerturbation (astronomy)Computer scienceLimit (mathematics)Statistical physicsEconometricsMathematical analysisPhysicsMachine learningQuantum mechanicsMathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studiesEcosystem dynamics and resilience
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