A geometric analysis of the SIR, SIRS and SIRWS epidemiological models
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 nonstandar...
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Published in | Nonlinear analysis: real world applications Vol. 58; p. 103220 |
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Format | Journal Article |
Language | English |
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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. |
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AbstractList | 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. |
ArticleNumber | 103220 |
Author | Sensi, Mattia Jardón-Kojakhmetov, Hildeberto Pugliese, Andrea Kuehn, Christian |
Author_xml | – sequence: 1 givenname: Hildeberto orcidid: 0000-0001-8708-7409 surname: Jardón-Kojakhmetov fullname: Jardón-Kojakhmetov, Hildeberto organization: Technische Universität München (TUM), Germany – sequence: 2 givenname: Christian orcidid: 0000-0002-7063-6173 surname: Kuehn fullname: Kuehn, Christian organization: Technische Universität München (TUM), Germany – sequence: 3 givenname: Andrea orcidid: 0000-0002-3512-8560 surname: Pugliese fullname: Pugliese, Andrea organization: Università degli Studi di Trento, Italy – sequence: 4 givenname: Mattia surname: Sensi fullname: Sensi, Mattia email: mattia.sensi@unitn.it organization: Università degli Studi di Trento, Italy |
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SubjectTerms | Bifurcation analysis Entry–exit function Epidemic model Fast–slow system Non-standard form Numerical continuation |
Title | A geometric analysis of the SIR, SIRS and SIRWS epidemiological models |
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