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A fractional complex network model for novel corona virus in China
As is well known the novel coronavirus (COVID-19) is a zoonotic virus and our model is concerned with the effect of the zoonotic source of the coronavirus during the outbreak in China. We present a SEIS complex network epidemic model for the novel coronavirus. Our model is presented in fractional fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785402/ https://www.ncbi.nlm.nih.gov/pubmed/33424956 http://dx.doi.org/10.1186/s13662-020-03182-y |
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author | El-Saka, H. A. A. Obaya, I. Agiza, H. N. |
author_facet | El-Saka, H. A. A. Obaya, I. Agiza, H. N. |
author_sort | El-Saka, H. A. A. |
collection | PubMed |
description | As is well known the novel coronavirus (COVID-19) is a zoonotic virus and our model is concerned with the effect of the zoonotic source of the coronavirus during the outbreak in China. We present a SEIS complex network epidemic model for the novel coronavirus. Our model is presented in fractional form and with varying population. The steady states and the basic reproductive number are calculated. We also present some numerical examples and the sensitivity analysis of the basic reproductive number for the parameters. |
format | Online Article Text |
id | pubmed-7785402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-77854022021-01-06 A fractional complex network model for novel corona virus in China El-Saka, H. A. A. Obaya, I. Agiza, H. N. Adv Differ Equ Research As is well known the novel coronavirus (COVID-19) is a zoonotic virus and our model is concerned with the effect of the zoonotic source of the coronavirus during the outbreak in China. We present a SEIS complex network epidemic model for the novel coronavirus. Our model is presented in fractional form and with varying population. The steady states and the basic reproductive number are calculated. We also present some numerical examples and the sensitivity analysis of the basic reproductive number for the parameters. Springer International Publishing 2021-01-06 2021 /pmc/articles/PMC7785402/ /pubmed/33424956 http://dx.doi.org/10.1186/s13662-020-03182-y Text en © The Author(s) 2021 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 El-Saka, H. A. A. Obaya, I. Agiza, H. N. A fractional complex network model for novel corona virus in China |
title | A fractional complex network model for novel corona virus in China |
title_full | A fractional complex network model for novel corona virus in China |
title_fullStr | A fractional complex network model for novel corona virus in China |
title_full_unstemmed | A fractional complex network model for novel corona virus in China |
title_short | A fractional complex network model for novel corona virus in China |
title_sort | fractional complex network model for novel corona virus in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785402/ https://www.ncbi.nlm.nih.gov/pubmed/33424956 http://dx.doi.org/10.1186/s13662-020-03182-y |
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