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Modelling and control of a fractional-order epidemic model with fear effect

In this paper, we formulate and study a new fractional-order SIS epidemic model with fear effect of an infectious disease and treatment control. The existence and uniqueness, nonnegativity and finiteness of the system solutions for the proposed model have been analysed. All equilibria of the model s...

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Detalles Bibliográficos
Autores principales: Mandal, Manotosh, Jana, Soovoojeet, Nandi, Swapan Kumar, Kar, T. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519706/
https://www.ncbi.nlm.nih.gov/pubmed/33015321
http://dx.doi.org/10.1007/s40974-020-00192-0
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author Mandal, Manotosh
Jana, Soovoojeet
Nandi, Swapan Kumar
Kar, T. K.
author_facet Mandal, Manotosh
Jana, Soovoojeet
Nandi, Swapan Kumar
Kar, T. K.
author_sort Mandal, Manotosh
collection PubMed
description In this paper, we formulate and study a new fractional-order SIS epidemic model with fear effect of an infectious disease and treatment control. The existence and uniqueness, nonnegativity and finiteness of the system solutions for the proposed model have been analysed. All equilibria of the model system are found, and their local and also global stability analyses are examined. Conditions for fractional backward and fractional Hopf bifurcation are also analysed. We study how the disease control parameter, level of fear and fractional order play a role in the stability of equilibria and Hopf bifurcation. Further, we have established our analytical results through several numerical simulations.
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spelling pubmed-75197062020-09-28 Modelling and control of a fractional-order epidemic model with fear effect Mandal, Manotosh Jana, Soovoojeet Nandi, Swapan Kumar Kar, T. K. Energy Ecol Environ Original Article In this paper, we formulate and study a new fractional-order SIS epidemic model with fear effect of an infectious disease and treatment control. The existence and uniqueness, nonnegativity and finiteness of the system solutions for the proposed model have been analysed. All equilibria of the model system are found, and their local and also global stability analyses are examined. Conditions for fractional backward and fractional Hopf bifurcation are also analysed. We study how the disease control parameter, level of fear and fractional order play a role in the stability of equilibria and Hopf bifurcation. Further, we have established our analytical results through several numerical simulations. Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University 2020-09-26 2020 /pmc/articles/PMC7519706/ /pubmed/33015321 http://dx.doi.org/10.1007/s40974-020-00192-0 Text en © The Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University 2020 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 Original Article
Mandal, Manotosh
Jana, Soovoojeet
Nandi, Swapan Kumar
Kar, T. K.
Modelling and control of a fractional-order epidemic model with fear effect
title Modelling and control of a fractional-order epidemic model with fear effect
title_full Modelling and control of a fractional-order epidemic model with fear effect
title_fullStr Modelling and control of a fractional-order epidemic model with fear effect
title_full_unstemmed Modelling and control of a fractional-order epidemic model with fear effect
title_short Modelling and control of a fractional-order epidemic model with fear effect
title_sort modelling and control of a fractional-order epidemic model with fear effect
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519706/
https://www.ncbi.nlm.nih.gov/pubmed/33015321
http://dx.doi.org/10.1007/s40974-020-00192-0
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