Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique

In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical resu...

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Detalles Bibliográficos
Autores principales: Gao, Wei, Veeresha, P., Prakasha, D. G., Baskonus, Haci Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325572/
https://www.ncbi.nlm.nih.gov/pubmed/32455617
http://dx.doi.org/10.3390/biology9050107
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author Gao, Wei
Veeresha, P.
Prakasha, D. G.
Baskonus, Haci Mehmet
author_facet Gao, Wei
Veeresha, P.
Prakasha, D. G.
Baskonus, Haci Mehmet
author_sort Gao, Wei
collection PubMed
description In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical results were obtained to better understand the dynamical structures of the physical behavior of 2019-nCoV. Such behaviors observe the general properties of the mathematical model of 2019-nCoV. This mathematical model is composed of data reported from the city of Wuhan, China.
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spelling pubmed-73255722020-07-14 Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique Gao, Wei Veeresha, P. Prakasha, D. G. Baskonus, Haci Mehmet Biology (Basel) Article In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical results were obtained to better understand the dynamical structures of the physical behavior of 2019-nCoV. Such behaviors observe the general properties of the mathematical model of 2019-nCoV. This mathematical model is composed of data reported from the city of Wuhan, China. MDPI 2020-05-21 /pmc/articles/PMC7325572/ /pubmed/32455617 http://dx.doi.org/10.3390/biology9050107 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gao, Wei
Veeresha, P.
Prakasha, D. G.
Baskonus, Haci Mehmet
Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title_full Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title_fullStr Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title_full_unstemmed Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title_short Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
title_sort novel dynamic structures of 2019-ncov with nonlocal operator via powerful computational technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325572/
https://www.ncbi.nlm.nih.gov/pubmed/32455617
http://dx.doi.org/10.3390/biology9050107
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