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A new fractional mathematical modelling of COVID-19 with the availability of vaccine
The most dangerous disease of this decade novel coronavirus or COVID-19 is yet not over. The whole world is facing this threat and trying to stand together to defeat this pandemic. Many countries have defeated this virus by their strong control strategies and many are still trying to do so. To date,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057057/ https://www.ncbi.nlm.nih.gov/pubmed/33898210 http://dx.doi.org/10.1016/j.rinp.2021.104213 |
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author | Kumar, Pushpendra Erturk, Vedat Suat Murillo-Arcila, Marina |
author_facet | Kumar, Pushpendra Erturk, Vedat Suat Murillo-Arcila, Marina |
author_sort | Kumar, Pushpendra |
collection | PubMed |
description | The most dangerous disease of this decade novel coronavirus or COVID-19 is yet not over. The whole world is facing this threat and trying to stand together to defeat this pandemic. Many countries have defeated this virus by their strong control strategies and many are still trying to do so. To date, some countries have prepared a vaccine against this virus but not in an enough amount. In this research article, we proposed a new SEIRS dynamical model by including the vaccine rate. First we formulate the model with integer order and after that we generalize it in Atangana–Baleanu derivative sense. The high motivation to apply Atangana–Baleanu fractional derivative on our model is to explore the dynamics of the model more clearly. We provide the analysis of the existence of solution for the given fractional SEIRS model. We use the famous Predictor–Corrector algorithm to derive the solution of the model. Also, the analysis for the stability of the given algorithm is established. We simulate number of graphs to see the role of vaccine on the dynamics of the population. For practical simulations, we use the parameter values which are based on real data of Spain. The main motivation or aim of this research study is to justify the role of vaccine in this tough time of COVID-19. A clear role of vaccine at this crucial time can be realized by this study. |
format | Online Article Text |
id | pubmed-8057057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80570572021-04-21 A new fractional mathematical modelling of COVID-19 with the availability of vaccine Kumar, Pushpendra Erturk, Vedat Suat Murillo-Arcila, Marina Results Phys Article The most dangerous disease of this decade novel coronavirus or COVID-19 is yet not over. The whole world is facing this threat and trying to stand together to defeat this pandemic. Many countries have defeated this virus by their strong control strategies and many are still trying to do so. To date, some countries have prepared a vaccine against this virus but not in an enough amount. In this research article, we proposed a new SEIRS dynamical model by including the vaccine rate. First we formulate the model with integer order and after that we generalize it in Atangana–Baleanu derivative sense. The high motivation to apply Atangana–Baleanu fractional derivative on our model is to explore the dynamics of the model more clearly. We provide the analysis of the existence of solution for the given fractional SEIRS model. We use the famous Predictor–Corrector algorithm to derive the solution of the model. Also, the analysis for the stability of the given algorithm is established. We simulate number of graphs to see the role of vaccine on the dynamics of the population. For practical simulations, we use the parameter values which are based on real data of Spain. The main motivation or aim of this research study is to justify the role of vaccine in this tough time of COVID-19. A clear role of vaccine at this crucial time can be realized by this study. The Authors. Published by Elsevier B.V. 2021-05 2021-04-20 /pmc/articles/PMC8057057/ /pubmed/33898210 http://dx.doi.org/10.1016/j.rinp.2021.104213 Text en © 2021 The Authors 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 Kumar, Pushpendra Erturk, Vedat Suat Murillo-Arcila, Marina A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title | A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title_full | A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title_fullStr | A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title_full_unstemmed | A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title_short | A new fractional mathematical modelling of COVID-19 with the availability of vaccine |
title_sort | new fractional mathematical modelling of covid-19 with the availability of vaccine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057057/ https://www.ncbi.nlm.nih.gov/pubmed/33898210 http://dx.doi.org/10.1016/j.rinp.2021.104213 |
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