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A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event

In 2020 the world faced with a pandemic spread that affected almost everything of humans’ social and health life. Regulations to decrease the epidemiological spread and studies to produce the vaccine of SARS-CoV-2 were on one side a hope to return back to the regular life, but on the other side ther...

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Autores principales: Bilgil, Halis, Yousef, Ali, Erciyes, Ayhan, Erdinç, Ümmügülsüm, Öztürk, Zafer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773742/
https://www.ncbi.nlm.nih.gov/pubmed/36573128
http://dx.doi.org/10.1016/j.cam.2022.115015
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author Bilgil, Halis
Yousef, Ali
Erciyes, Ayhan
Erdinç, Ümmügülsüm
Öztürk, Zafer
author_facet Bilgil, Halis
Yousef, Ali
Erciyes, Ayhan
Erdinç, Ümmügülsüm
Öztürk, Zafer
author_sort Bilgil, Halis
collection PubMed
description In 2020 the world faced with a pandemic spread that affected almost everything of humans’ social and health life. Regulations to decrease the epidemiological spread and studies to produce the vaccine of SARS-CoV-2 were on one side a hope to return back to the regular life, but on the other side there were also notable criticism about the vaccines itself. In this study, we established a fractional order differential equations system incorporating the vaccinated and re-infected compartments to a [Formula: see text] frame to consider the expanded and detailed form as an [Formula: see text] model. We considered in the model some essential parameters, such as the protection rate of the vaccines, the vaccination rate, and the vaccine’s lost efficacy after a certain period. We obtained the local stability of the disease-free and co-existing equilibrium points under specific conditions using the Routh–Hurwitz Criterion and the global stability in using a suitable Lyapunov function. For the numerical solutions we applied the Euler’s method. The data for the simulations were taken from the World Health Organization (WHO) to illustrate numerically some scenarios that happened.
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spelling pubmed-97737422022-12-22 A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event Bilgil, Halis Yousef, Ali Erciyes, Ayhan Erdinç, Ümmügülsüm Öztürk, Zafer J Comput Appl Math Article In 2020 the world faced with a pandemic spread that affected almost everything of humans’ social and health life. Regulations to decrease the epidemiological spread and studies to produce the vaccine of SARS-CoV-2 were on one side a hope to return back to the regular life, but on the other side there were also notable criticism about the vaccines itself. In this study, we established a fractional order differential equations system incorporating the vaccinated and re-infected compartments to a [Formula: see text] frame to consider the expanded and detailed form as an [Formula: see text] model. We considered in the model some essential parameters, such as the protection rate of the vaccines, the vaccination rate, and the vaccine’s lost efficacy after a certain period. We obtained the local stability of the disease-free and co-existing equilibrium points under specific conditions using the Routh–Hurwitz Criterion and the global stability in using a suitable Lyapunov function. For the numerical solutions we applied the Euler’s method. The data for the simulations were taken from the World Health Organization (WHO) to illustrate numerically some scenarios that happened. Elsevier B.V. 2023-06 2022-12-22 /pmc/articles/PMC9773742/ /pubmed/36573128 http://dx.doi.org/10.1016/j.cam.2022.115015 Text en © 2022 Elsevier B.V. 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
Bilgil, Halis
Yousef, Ali
Erciyes, Ayhan
Erdinç, Ümmügülsüm
Öztürk, Zafer
A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title_full A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title_fullStr A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title_full_unstemmed A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title_short A fractional-order mathematical model based on vaccinated and infected compartments of SARS-CoV-2 with a real case study during the last stages of the epidemiological event
title_sort fractional-order mathematical model based on vaccinated and infected compartments of sars-cov-2 with a real case study during the last stages of the epidemiological event
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773742/
https://www.ncbi.nlm.nih.gov/pubmed/36573128
http://dx.doi.org/10.1016/j.cam.2022.115015
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