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Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network
In this paper, we present a new fractional epidemiological model on a heterogeneous network to investigate Middle East respiratory syndrome (MERS-CoV), which is caused by a virus in the coronavirus family. We also consider the development of equations for the camel population, given that it is the p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713123/ https://www.ncbi.nlm.nih.gov/pubmed/36456670 http://dx.doi.org/10.1038/s41598-022-24814-1 |
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author | El-Saka, H. A. A. Obaya, Ibrahim Lee, Seyeon Jang, Bongsoo |
author_facet | El-Saka, H. A. A. Obaya, Ibrahim Lee, Seyeon Jang, Bongsoo |
author_sort | El-Saka, H. A. A. |
collection | PubMed |
description | In this paper, we present a new fractional epidemiological model on a heterogeneous network to investigate Middle East respiratory syndrome (MERS-CoV), which is caused by a virus in the coronavirus family. We also consider the development of equations for the camel population, given that it is the primary animal source of the virus, as well as direct human interaction with this population. The model is configured in an SIS form for both the human population and the camel population. We study the equilibrium positions of the system and the conditions for the existence of each of them, as well as the local stability of each equilibrium position. Then, we provide some numerical examples that compare real data and numerical results. |
format | Online Article Text |
id | pubmed-9713123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97131232022-12-01 Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network El-Saka, H. A. A. Obaya, Ibrahim Lee, Seyeon Jang, Bongsoo Sci Rep Article In this paper, we present a new fractional epidemiological model on a heterogeneous network to investigate Middle East respiratory syndrome (MERS-CoV), which is caused by a virus in the coronavirus family. We also consider the development of equations for the camel population, given that it is the primary animal source of the virus, as well as direct human interaction with this population. The model is configured in an SIS form for both the human population and the camel population. We study the equilibrium positions of the system and the conditions for the existence of each of them, as well as the local stability of each equilibrium position. Then, we provide some numerical examples that compare real data and numerical results. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9713123/ /pubmed/36456670 http://dx.doi.org/10.1038/s41598-022-24814-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article El-Saka, H. A. A. Obaya, Ibrahim Lee, Seyeon Jang, Bongsoo Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title | Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title_full | Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title_fullStr | Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title_full_unstemmed | Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title_short | Fractional model for Middle East respiratory syndrome coronavirus on a complex heterogeneous network |
title_sort | fractional model for middle east respiratory syndrome coronavirus on a complex heterogeneous network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713123/ https://www.ncbi.nlm.nih.gov/pubmed/36456670 http://dx.doi.org/10.1038/s41598-022-24814-1 |
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