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A study on fractional HBV model through singular and non-singular derivatives
The current study’s aim is to evaluate the dynamics of a Hepatitis B virus (HBV) model with the class of asymptomatic carriers using two different numerical algorithms and various values of the fractional-order parameter. We considered the model with two different fractional-order derivatives, namel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889534/ https://www.ncbi.nlm.nih.gov/pubmed/35251498 http://dx.doi.org/10.1140/epjs/s11734-022-00460-6 |
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author | Kumar, Sunil Chauhan, R. P. Aly, Ayman A. Momani, Shaher Hadid, Samir |
author_facet | Kumar, Sunil Chauhan, R. P. Aly, Ayman A. Momani, Shaher Hadid, Samir |
author_sort | Kumar, Sunil |
collection | PubMed |
description | The current study’s aim is to evaluate the dynamics of a Hepatitis B virus (HBV) model with the class of asymptomatic carriers using two different numerical algorithms and various values of the fractional-order parameter. We considered the model with two different fractional-order derivatives, namely the Caputo derivative and Atangana–Baleanu derivative in the Caputo sense (ABC). The considered derivatives are the most widely used fractional operators in modeling. We present some mathematical analysis of the fractional ABC model. The fixed-point theory is used to determine the existence and uniqueness of the solutions to the considered fractional model. For numerical results, we show a generalized Adams–Bashforth–Moulton (ABM) method for Caputo derivative and an Adams type predictor-corrector (PC) algorithm for Atangana–Baleanu derivatives. Finally, the models are numerically solved using computational techniques and obtained results graphically illustrated with a wide range of fractional-order values. We compare the numerical results for Caputo and ABC derivatives graphically. In addition, a new variable-order fractional network of the HBV model is proposed. Considering the fact that most communities interact with each other, and the rate of disease spread is affected by this factor, the proposed network can provide more accurate insight for the modeling of the disease. |
format | Online Article Text |
id | pubmed-8889534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88895342022-03-02 A study on fractional HBV model through singular and non-singular derivatives Kumar, Sunil Chauhan, R. P. Aly, Ayman A. Momani, Shaher Hadid, Samir Eur Phys J Spec Top Regular Article The current study’s aim is to evaluate the dynamics of a Hepatitis B virus (HBV) model with the class of asymptomatic carriers using two different numerical algorithms and various values of the fractional-order parameter. We considered the model with two different fractional-order derivatives, namely the Caputo derivative and Atangana–Baleanu derivative in the Caputo sense (ABC). The considered derivatives are the most widely used fractional operators in modeling. We present some mathematical analysis of the fractional ABC model. The fixed-point theory is used to determine the existence and uniqueness of the solutions to the considered fractional model. For numerical results, we show a generalized Adams–Bashforth–Moulton (ABM) method for Caputo derivative and an Adams type predictor-corrector (PC) algorithm for Atangana–Baleanu derivatives. Finally, the models are numerically solved using computational techniques and obtained results graphically illustrated with a wide range of fractional-order values. We compare the numerical results for Caputo and ABC derivatives graphically. In addition, a new variable-order fractional network of the HBV model is proposed. Considering the fact that most communities interact with each other, and the rate of disease spread is affected by this factor, the proposed network can provide more accurate insight for the modeling of the disease. Springer Berlin Heidelberg 2022-03-02 2022 /pmc/articles/PMC8889534/ /pubmed/35251498 http://dx.doi.org/10.1140/epjs/s11734-022-00460-6 Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022 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 Kumar, Sunil Chauhan, R. P. Aly, Ayman A. Momani, Shaher Hadid, Samir A study on fractional HBV model through singular and non-singular derivatives |
title | A study on fractional HBV model through singular and non-singular derivatives |
title_full | A study on fractional HBV model through singular and non-singular derivatives |
title_fullStr | A study on fractional HBV model through singular and non-singular derivatives |
title_full_unstemmed | A study on fractional HBV model through singular and non-singular derivatives |
title_short | A study on fractional HBV model through singular and non-singular derivatives |
title_sort | study on fractional hbv model through singular and non-singular derivatives |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889534/ https://www.ncbi.nlm.nih.gov/pubmed/35251498 http://dx.doi.org/10.1140/epjs/s11734-022-00460-6 |
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