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Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls

The purpose of the present research is to improve our understanding of how coronavirus infection spreads by creating an epidemic model that incorporates isolation and quarantine measures. The dynamics of this viral spread are represented using the Caputo?Fabrizio operator. By analyzing the equilibri...

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Main Authors: Guirao J.L.G., Jan R., Baleanu D., Mohammed P.O., Abdullah F.A., Chorfi N.
Other Authors: 6603257448
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2025
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spelling my.uniten.dspace-370322025-03-03T15:46:47Z Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls Guirao J.L.G. Jan R. Baleanu D. Mohammed P.O. Abdullah F.A. Chorfi N. 6603257448 57205596279 7005872966 57192416276 57915424500 56019340900 The purpose of the present research is to improve our understanding of how coronavirus infection spreads by creating an epidemic model that incorporates isolation and quarantine measures. The dynamics of this viral spread are represented using the Caputo?Fabrizio operator. By analyzing the equilibria of the model and utilizing the next-generation matrix method, we determine the endemic indicator, R0. The main findings demonstrate that the equilibrium without infection is locally stable when R0 is less than one and unstable otherwise. Also, we demonstrate the existence and uniqueness of the solution of our recommended model. In addition to this, we interrogate the solution pathways of the system by varying different factors, aiming to comprehend the intricate transmission of COVID-19 and visualize the crucial factors of the system that can aid public health officials in the control of the spread of infection. ? The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Article in press 2025-03-03T07:46:47Z 2025-03-03T07:46:47Z 2024 Article 10.1140/epjs/s11734-024-01197-0 2-s2.0-85196310056 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196310056&doi=10.1140%2fepjs%2fs11734-024-01197-0&partnerID=40&md5=593aa938afc2104c8461b17ceb97aa4b https://irepository.uniten.edu.my/handle/123456789/37032 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The purpose of the present research is to improve our understanding of how coronavirus infection spreads by creating an epidemic model that incorporates isolation and quarantine measures. The dynamics of this viral spread are represented using the Caputo?Fabrizio operator. By analyzing the equilibria of the model and utilizing the next-generation matrix method, we determine the endemic indicator, R0. The main findings demonstrate that the equilibrium without infection is locally stable when R0 is less than one and unstable otherwise. Also, we demonstrate the existence and uniqueness of the solution of our recommended model. In addition to this, we interrogate the solution pathways of the system by varying different factors, aiming to comprehend the intricate transmission of COVID-19 and visualize the crucial factors of the system that can aid public health officials in the control of the spread of infection. ? The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024.
author2 6603257448
author_facet 6603257448
Guirao J.L.G.
Jan R.
Baleanu D.
Mohammed P.O.
Abdullah F.A.
Chorfi N.
format Article
author Guirao J.L.G.
Jan R.
Baleanu D.
Mohammed P.O.
Abdullah F.A.
Chorfi N.
spellingShingle Guirao J.L.G.
Jan R.
Baleanu D.
Mohammed P.O.
Abdullah F.A.
Chorfi N.
Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
author_sort Guirao J.L.G.
title Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
title_short Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
title_full Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
title_fullStr Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
title_full_unstemmed Some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
title_sort some fractional-order modeling and analysis of the transmission dynamics together with prevention controls
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2025
_version_ 1826077474472067072
score 13.244413

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