On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021

The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great influence on the health and lives of people all over the world. The spread principle is still unclear. This paper considers a novel evolution model of COVID-19 in terms of an integral–differential equation, involving vaccin...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Liyan, Zhang, Qiang, Liu, Jijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570462/
https://www.ncbi.nlm.nih.gov/pubmed/34776608
http://dx.doi.org/10.1016/j.aml.2021.107783
_version_ 1784594844831711232
author Wang, Liyan
Zhang, Qiang
Liu, Jijun
author_facet Wang, Liyan
Zhang, Qiang
Liu, Jijun
author_sort Wang, Liyan
collection PubMed
description The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great influence on the health and lives of people all over the world. The spread principle is still unclear. This paper considers a novel evolution model of COVID-19 in terms of an integral–differential equation, involving vaccination effect and the incubation of COVID-19. The proposed mathematical model is rigorously analyzed on its asymptotic behavior with new probability functions, showing the final spread tendency. Moreover, our model is also verified numerically by the practical epidemic data of COVID-19 in Yangzhou from July to August 2021.
format Online
Article
Text
id pubmed-8570462
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-85704622021-11-08 On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021 Wang, Liyan Zhang, Qiang Liu, Jijun Appl Math Lett Article The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great influence on the health and lives of people all over the world. The spread principle is still unclear. This paper considers a novel evolution model of COVID-19 in terms of an integral–differential equation, involving vaccination effect and the incubation of COVID-19. The proposed mathematical model is rigorously analyzed on its asymptotic behavior with new probability functions, showing the final spread tendency. Moreover, our model is also verified numerically by the practical epidemic data of COVID-19 in Yangzhou from July to August 2021. Elsevier Ltd. 2022-03 2021-11-05 /pmc/articles/PMC8570462/ /pubmed/34776608 http://dx.doi.org/10.1016/j.aml.2021.107783 Text en © 2021 Elsevier Ltd. 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
Wang, Liyan
Zhang, Qiang
Liu, Jijun
On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title_full On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title_fullStr On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title_full_unstemmed On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title_short On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021
title_sort on the dynamical model for covid-19 with vaccination and time-delay effects: a model analysis supported by yangzhou epidemic in 2021
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570462/
https://www.ncbi.nlm.nih.gov/pubmed/34776608
http://dx.doi.org/10.1016/j.aml.2021.107783
work_keys_str_mv AT wangliyan onthedynamicalmodelforcovid19withvaccinationandtimedelayeffectsamodelanalysissupportedbyyangzhouepidemicin2021
AT zhangqiang onthedynamicalmodelforcovid19withvaccinationandtimedelayeffectsamodelanalysissupportedbyyangzhouepidemicin2021
AT liujijun onthedynamicalmodelforcovid19withvaccinationandtimedelayeffectsamodelanalysissupportedbyyangzhouepidemicin2021

Ejemplares similares