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Complex behavior of COVID-19’s mathematical model

It is almost more than a year that earth has faced a severe worldwide problem called COVID-19. In December 2019, the origin of the epidemic was found in China. After that, this contagious virus was reported almost all over the world with different variants. Besides all the healthcare system attempts...

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Autores principales: Wang, Zhen, Jamal, Sajjad Shaukat, Yang, Baonan, Pham, Viet-Thanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595961/
https://www.ncbi.nlm.nih.gov/pubmed/34804378
http://dx.doi.org/10.1140/epjs/s11734-021-00309-4
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author Wang, Zhen
Jamal, Sajjad Shaukat
Yang, Baonan
Pham, Viet-Thanh
author_facet Wang, Zhen
Jamal, Sajjad Shaukat
Yang, Baonan
Pham, Viet-Thanh
author_sort Wang, Zhen
collection PubMed
description It is almost more than a year that earth has faced a severe worldwide problem called COVID-19. In December 2019, the origin of the epidemic was found in China. After that, this contagious virus was reported almost all over the world with different variants. Besides all the healthcare system attempts, quarantine, and vaccination, it is needed to study the dynamical behavior of this disease specifically. One of the practical tools that may help scientists analyze the dynamical behavior of epidemic disease is mathematical models. Accordingly, here, a novel mathematical system is introduced. Also, the complex behavior of this model is investigated considering different dynamical analyses. The results represent that some range of parameters may lead the model to chaotic behavior. Moreover, comparing the two same bifurcation diagrams with different initial conditions reveals that the model has multi-stability.
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spelling pubmed-85959612021-11-17 Complex behavior of COVID-19’s mathematical model Wang, Zhen Jamal, Sajjad Shaukat Yang, Baonan Pham, Viet-Thanh Eur Phys J Spec Top Regular Article It is almost more than a year that earth has faced a severe worldwide problem called COVID-19. In December 2019, the origin of the epidemic was found in China. After that, this contagious virus was reported almost all over the world with different variants. Besides all the healthcare system attempts, quarantine, and vaccination, it is needed to study the dynamical behavior of this disease specifically. One of the practical tools that may help scientists analyze the dynamical behavior of epidemic disease is mathematical models. Accordingly, here, a novel mathematical system is introduced. Also, the complex behavior of this model is investigated considering different dynamical analyses. The results represent that some range of parameters may lead the model to chaotic behavior. Moreover, comparing the two same bifurcation diagrams with different initial conditions reveals that the model has multi-stability. Springer Berlin Heidelberg 2021-11-17 2022 /pmc/articles/PMC8595961/ /pubmed/34804378 http://dx.doi.org/10.1140/epjs/s11734-021-00309-4 Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Article
Wang, Zhen
Jamal, Sajjad Shaukat
Yang, Baonan
Pham, Viet-Thanh
Complex behavior of COVID-19’s mathematical model
title Complex behavior of COVID-19’s mathematical model
title_full Complex behavior of COVID-19’s mathematical model
title_fullStr Complex behavior of COVID-19’s mathematical model
title_full_unstemmed Complex behavior of COVID-19’s mathematical model
title_short Complex behavior of COVID-19’s mathematical model
title_sort complex behavior of covid-19’s mathematical model
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595961/
https://www.ncbi.nlm.nih.gov/pubmed/34804378
http://dx.doi.org/10.1140/epjs/s11734-021-00309-4
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