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Chaos in a nonautonomous eco-epidemiological model with delay
In this paper, we propose and analyze a nonautonomous predator-prey model with disease in prey, and a discrete time delay for the incubation period in disease transmission. Employing the theory of differential inequalities, we find sufficient conditions for the permanence of the system. Further, we...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116913/ https://www.ncbi.nlm.nih.gov/pubmed/32287943 http://dx.doi.org/10.1016/j.apm.2019.11.006 |
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author | Samanta, Sudip Tiwari, Pankaj Kumar Alzahrani, Abdullah K. Alshomrani, Ali Saleh |
author_facet | Samanta, Sudip Tiwari, Pankaj Kumar Alzahrani, Abdullah K. Alshomrani, Ali Saleh |
author_sort | Samanta, Sudip |
collection | PubMed |
description | In this paper, we propose and analyze a nonautonomous predator-prey model with disease in prey, and a discrete time delay for the incubation period in disease transmission. Employing the theory of differential inequalities, we find sufficient conditions for the permanence of the system. Further, we use Lyapunov’s functional method to obtain sufficient conditions for global asymptotic stability of the system. We observe that the permanence of the system is unaffected due to presence of incubation delay. However, incubation delay affects the global stability of the positive periodic solution of the system. To reinforce the analytical results and to get more insight into the system’s behavior, we perform some numerical simulations of the autonomous and nonautonomous systems with and without time delay. We observe that for the gradual increase in the magnitude of incubation delay, the autonomous system develops limit cycle oscillation through a Hopf-bifurcation while the corresponding nonautonomous system shows chaotic dynamics through quasi-periodic oscillations. We apply basic tools of non-linear dynamics such as Poincaré section and maximum Lyapunov exponent to confirm the chaotic behavior of the system. |
format | Online Article Text |
id | pubmed-7116913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71169132020-04-02 Chaos in a nonautonomous eco-epidemiological model with delay Samanta, Sudip Tiwari, Pankaj Kumar Alzahrani, Abdullah K. Alshomrani, Ali Saleh Appl Math Model Article In this paper, we propose and analyze a nonautonomous predator-prey model with disease in prey, and a discrete time delay for the incubation period in disease transmission. Employing the theory of differential inequalities, we find sufficient conditions for the permanence of the system. Further, we use Lyapunov’s functional method to obtain sufficient conditions for global asymptotic stability of the system. We observe that the permanence of the system is unaffected due to presence of incubation delay. However, incubation delay affects the global stability of the positive periodic solution of the system. To reinforce the analytical results and to get more insight into the system’s behavior, we perform some numerical simulations of the autonomous and nonautonomous systems with and without time delay. We observe that for the gradual increase in the magnitude of incubation delay, the autonomous system develops limit cycle oscillation through a Hopf-bifurcation while the corresponding nonautonomous system shows chaotic dynamics through quasi-periodic oscillations. We apply basic tools of non-linear dynamics such as Poincaré section and maximum Lyapunov exponent to confirm the chaotic behavior of the system. Elsevier Inc. 2020-03 2019-11-08 /pmc/articles/PMC7116913/ /pubmed/32287943 http://dx.doi.org/10.1016/j.apm.2019.11.006 Text en © 2019 Elsevier Inc. 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 Samanta, Sudip Tiwari, Pankaj Kumar Alzahrani, Abdullah K. Alshomrani, Ali Saleh Chaos in a nonautonomous eco-epidemiological model with delay |
title | Chaos in a nonautonomous eco-epidemiological model with delay |
title_full | Chaos in a nonautonomous eco-epidemiological model with delay |
title_fullStr | Chaos in a nonautonomous eco-epidemiological model with delay |
title_full_unstemmed | Chaos in a nonautonomous eco-epidemiological model with delay |
title_short | Chaos in a nonautonomous eco-epidemiological model with delay |
title_sort | chaos in a nonautonomous eco-epidemiological model with delay |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116913/ https://www.ncbi.nlm.nih.gov/pubmed/32287943 http://dx.doi.org/10.1016/j.apm.2019.11.006 |
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