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Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic()
In view of the spread of corona virus disease 2019 (COVID-19), this paper proposes a fractional-order generalized SEIR model. The non-negativity of the solution of the model is discussed. Based on the established threshold [Formula: see text] , the existence of the disease-free equilibrium and endem...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293902/ http://dx.doi.org/10.1016/j.amc.2023.128210 |
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author | Xu, Conghui Yu, Yongguang Ren, Guojian Sun, Yuqin Si, Xinhui |
author_facet | Xu, Conghui Yu, Yongguang Ren, Guojian Sun, Yuqin Si, Xinhui |
author_sort | Xu, Conghui |
collection | PubMed |
description | In view of the spread of corona virus disease 2019 (COVID-19), this paper proposes a fractional-order generalized SEIR model. The non-negativity of the solution of the model is discussed. Based on the established threshold [Formula: see text] , the existence of the disease-free equilibrium and endemic equilibrium is analyzed. Then, sufficient conditions are established to ensure the local asymptotic stability of the equilibria. The parameters of the model are identified based on the statistical data of COVID-19 cases. Furthermore, the validity of the model for describing the COVID-19 outbreak is verified. Meanwhile, the accuracy of the relevant theoretical results are also verified. Considering the relevant strategies of COVID-19 prevention and control, the fractional optimal control problem (FOCP) is proposed. Numerical schemes for Riemann-Liouville (R-L) fractional-order adjoint system with transversal conditions is presented. Based on the relevant statistical data, the corresponding FOCP is numerically solved, and the control effect of the COVID-19 outbreak under the optimal control strategy is discussed. |
format | Online Article Text |
id | pubmed-10293902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102939022023-06-27 Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() Xu, Conghui Yu, Yongguang Ren, Guojian Sun, Yuqin Si, Xinhui Appl Math Comput Article In view of the spread of corona virus disease 2019 (COVID-19), this paper proposes a fractional-order generalized SEIR model. The non-negativity of the solution of the model is discussed. Based on the established threshold [Formula: see text] , the existence of the disease-free equilibrium and endemic equilibrium is analyzed. Then, sufficient conditions are established to ensure the local asymptotic stability of the equilibria. The parameters of the model are identified based on the statistical data of COVID-19 cases. Furthermore, the validity of the model for describing the COVID-19 outbreak is verified. Meanwhile, the accuracy of the relevant theoretical results are also verified. Considering the relevant strategies of COVID-19 prevention and control, the fractional optimal control problem (FOCP) is proposed. Numerical schemes for Riemann-Liouville (R-L) fractional-order adjoint system with transversal conditions is presented. Based on the relevant statistical data, the corresponding FOCP is numerically solved, and the control effect of the COVID-19 outbreak under the optimal control strategy is discussed. Elsevier Inc. 2023-06-27 /pmc/articles/PMC10293902/ http://dx.doi.org/10.1016/j.amc.2023.128210 Text en © 2023 Elsevier Inc. All rights reserved. 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 Xu, Conghui Yu, Yongguang Ren, Guojian Sun, Yuqin Si, Xinhui Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title | Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title_full | Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title_fullStr | Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title_full_unstemmed | Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title_short | Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic() |
title_sort | stability analysis and optimal control of a fractional-order generalized seir model for the covid-19 pandemic() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293902/ http://dx.doi.org/10.1016/j.amc.2023.128210 |
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