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Analysis and control of an SEIR epidemic system with nonlinear transmission rate
In this paper, the dynamical behaviors of an SEIR epidemic system governed by differential and algebraic equations with seasonal forcing in transmission rate are studied. The cases of only one varying parameter, two varying parameters and three varying parameters are considered to analyze the dynami...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125841/ https://www.ncbi.nlm.nih.gov/pubmed/32288203 http://dx.doi.org/10.1016/j.mcm.2009.07.014 |
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author | Yi, Na Zhang, Qingling Mao, Kun Yang, Dongmei Li, Qin |
author_facet | Yi, Na Zhang, Qingling Mao, Kun Yang, Dongmei Li, Qin |
author_sort | Yi, Na |
collection | PubMed |
description | In this paper, the dynamical behaviors of an SEIR epidemic system governed by differential and algebraic equations with seasonal forcing in transmission rate are studied. The cases of only one varying parameter, two varying parameters and three varying parameters are considered to analyze the dynamical behaviors of the system. For the case of one varying parameter, the periodic, chaotic and hyperchaotic dynamical behaviors are investigated via the bifurcation diagrams, Lyapunov exponent spectrum diagram and Poincare section. For the cases of two and three varying parameters, a Lyapunov diagram is applied. A tracking controller is designed to eliminate the hyperchaotic dynamical behavior of the system, such that the disease gradually disappears. In particular, the stability and bifurcation of the system for the case which is the degree of seasonality [Formula: see text] are considered. Then taking isolation control, the aim of elimination of the disease can be reached. Finally, numerical simulations are given to illustrate the validity of the proposed results. |
format | Online Article Text |
id | pubmed-7125841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71258412020-04-08 Analysis and control of an SEIR epidemic system with nonlinear transmission rate Yi, Na Zhang, Qingling Mao, Kun Yang, Dongmei Li, Qin Math Comput Model Article In this paper, the dynamical behaviors of an SEIR epidemic system governed by differential and algebraic equations with seasonal forcing in transmission rate are studied. The cases of only one varying parameter, two varying parameters and three varying parameters are considered to analyze the dynamical behaviors of the system. For the case of one varying parameter, the periodic, chaotic and hyperchaotic dynamical behaviors are investigated via the bifurcation diagrams, Lyapunov exponent spectrum diagram and Poincare section. For the cases of two and three varying parameters, a Lyapunov diagram is applied. A tracking controller is designed to eliminate the hyperchaotic dynamical behavior of the system, such that the disease gradually disappears. In particular, the stability and bifurcation of the system for the case which is the degree of seasonality [Formula: see text] are considered. Then taking isolation control, the aim of elimination of the disease can be reached. Finally, numerical simulations are given to illustrate the validity of the proposed results. Elsevier Ltd. 2009-11 2009-08-28 /pmc/articles/PMC7125841/ /pubmed/32288203 http://dx.doi.org/10.1016/j.mcm.2009.07.014 Text en Copyright © 2009 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yi, Na Zhang, Qingling Mao, Kun Yang, Dongmei Li, Qin Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title | Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title_full | Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title_fullStr | Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title_full_unstemmed | Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title_short | Analysis and control of an SEIR epidemic system with nonlinear transmission rate |
title_sort | analysis and control of an seir epidemic system with nonlinear transmission rate |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125841/ https://www.ncbi.nlm.nih.gov/pubmed/32288203 http://dx.doi.org/10.1016/j.mcm.2009.07.014 |
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