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An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19
COVID-19 has become a world wide pandemic since its first appearance at the end of the year 2019. Although some vaccines have already been announced, a new mutant version has been reported in UK. We certainly should be more careful and make further investigations to the virus spread and dynamics. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205281/ https://www.ncbi.nlm.nih.gov/pubmed/34150484 http://dx.doi.org/10.1016/j.rinp.2021.104432 |
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author | Mohammed, Wael W. Aly, E.S. Matouk, A.E. Albosaily, S. Elabbasy, E.M. |
author_facet | Mohammed, Wael W. Aly, E.S. Matouk, A.E. Albosaily, S. Elabbasy, E.M. |
author_sort | Mohammed, Wael W. |
collection | PubMed |
description | COVID-19 has become a world wide pandemic since its first appearance at the end of the year 2019. Although some vaccines have already been announced, a new mutant version has been reported in UK. We certainly should be more careful and make further investigations to the virus spread and dynamics. This work investigates dynamics in Lotka-Volterra based Models of COVID-19. The proposed models involve fractional derivatives which provide more adequacy and realistic description of the natural phenomena arising from such models. Existence and boundedness of non-negative solution of the fractional model is proved. Local stability is also discussed based on Matignon’s stability conditions. Numerical results show that the fractional parameter has effect on flattening the curves of the coexistence steady state. This interesting foundation might be used among the public health strategies to control the spread of COVID-19 and its mutated versions. |
format | Online Article Text |
id | pubmed-8205281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82052812021-06-16 An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 Mohammed, Wael W. Aly, E.S. Matouk, A.E. Albosaily, S. Elabbasy, E.M. Results Phys Article COVID-19 has become a world wide pandemic since its first appearance at the end of the year 2019. Although some vaccines have already been announced, a new mutant version has been reported in UK. We certainly should be more careful and make further investigations to the virus spread and dynamics. This work investigates dynamics in Lotka-Volterra based Models of COVID-19. The proposed models involve fractional derivatives which provide more adequacy and realistic description of the natural phenomena arising from such models. Existence and boundedness of non-negative solution of the fractional model is proved. Local stability is also discussed based on Matignon’s stability conditions. Numerical results show that the fractional parameter has effect on flattening the curves of the coexistence steady state. This interesting foundation might be used among the public health strategies to control the spread of COVID-19 and its mutated versions. The Author(s). Published by Elsevier B.V. 2021-07 2021-06-15 /pmc/articles/PMC8205281/ /pubmed/34150484 http://dx.doi.org/10.1016/j.rinp.2021.104432 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mohammed, Wael W. Aly, E.S. Matouk, A.E. Albosaily, S. Elabbasy, E.M. An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title | An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title_full | An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title_fullStr | An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title_full_unstemmed | An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title_short | An analytical study of the dynamic behavior of Lotka-Volterra based models of COVID-19 |
title_sort | analytical study of the dynamic behavior of lotka-volterra based models of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205281/ https://www.ncbi.nlm.nih.gov/pubmed/34150484 http://dx.doi.org/10.1016/j.rinp.2021.104432 |
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