Fuzzy fractional-order model of the novel coronavirus

In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo’s sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structure...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmad, S., Ullah, A., Shah, K., Salahshour, S., Ahmadian, A., Ciano, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474331/
https://www.ncbi.nlm.nih.gov/pubmed/32922446
http://dx.doi.org/10.1186/s13662-020-02934-0
_version_ 1783579317537603584
author Ahmad, S.
Ullah, A.
Shah, K.
Salahshour, S.
Ahmadian, A.
Ciano, T.
author_facet Ahmad, S.
Ullah, A.
Shah, K.
Salahshour, S.
Ahmadian, A.
Ciano, T.
author_sort Ahmad, S.
collection PubMed
description In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo’s sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation.
format Online
Article
Text
id pubmed-7474331
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-74743312020-09-08 Fuzzy fractional-order model of the novel coronavirus Ahmad, S. Ullah, A. Shah, K. Salahshour, S. Ahmadian, A. Ciano, T. Adv Differ Equ Research In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo’s sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation. Springer International Publishing 2020-09-05 2020 /pmc/articles/PMC7474331/ /pubmed/32922446 http://dx.doi.org/10.1186/s13662-020-02934-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Ahmad, S.
Ullah, A.
Shah, K.
Salahshour, S.
Ahmadian, A.
Ciano, T.
Fuzzy fractional-order model of the novel coronavirus
title Fuzzy fractional-order model of the novel coronavirus
title_full Fuzzy fractional-order model of the novel coronavirus
title_fullStr Fuzzy fractional-order model of the novel coronavirus
title_full_unstemmed Fuzzy fractional-order model of the novel coronavirus
title_short Fuzzy fractional-order model of the novel coronavirus
title_sort fuzzy fractional-order model of the novel coronavirus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474331/
https://www.ncbi.nlm.nih.gov/pubmed/32922446
http://dx.doi.org/10.1186/s13662-020-02934-0
work_keys_str_mv AT ahmads fuzzyfractionalordermodelofthenovelcoronavirus
AT ullaha fuzzyfractionalordermodelofthenovelcoronavirus
AT shahk fuzzyfractionalordermodelofthenovelcoronavirus
AT salahshours fuzzyfractionalordermodelofthenovelcoronavirus
AT ahmadiana fuzzyfractionalordermodelofthenovelcoronavirus
AT cianot fuzzyfractionalordermodelofthenovelcoronavirus

Ejemplares similares