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A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel

In this paper, a compartmental mathematical model has been utilized to gain a better insight about the future dynamics of COVID-19. The total human population is divided into eight various compartments including susceptible, exposed, pre-asymptomatic, asymptomatic, symptomatic, quarantined, hospital...

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Autores principales: Ahmad, Zubair, El-Kafrawy, Sherif A., Alandijany, Thamir A., Giannino, Francesco, Mirza, Ahmed A., El-Daly, Mai M., Faizo, Arwa A., Bajrai, Leena H., Kamal, Mohammad Amjad, Azhar, Esam I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857780/
https://www.ncbi.nlm.nih.gov/pubmed/35276575
http://dx.doi.org/10.1016/j.compbiolchem.2022.107645
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author Ahmad, Zubair
El-Kafrawy, Sherif A.
Alandijany, Thamir A.
Giannino, Francesco
Mirza, Ahmed A.
El-Daly, Mai M.
Faizo, Arwa A.
Bajrai, Leena H.
Kamal, Mohammad Amjad
Azhar, Esam I.
author_facet Ahmad, Zubair
El-Kafrawy, Sherif A.
Alandijany, Thamir A.
Giannino, Francesco
Mirza, Ahmed A.
El-Daly, Mai M.
Faizo, Arwa A.
Bajrai, Leena H.
Kamal, Mohammad Amjad
Azhar, Esam I.
author_sort Ahmad, Zubair
collection PubMed
description In this paper, a compartmental mathematical model has been utilized to gain a better insight about the future dynamics of COVID-19. The total human population is divided into eight various compartments including susceptible, exposed, pre-asymptomatic, asymptomatic, symptomatic, quarantined, hospitalized and recovered or removed individuals. The problem was modeled in terms of highly nonlinear coupled system of classical order ordinary differential equations (ODEs) which was further generalized with the Atangana-Balaeanu (ABC) fractional derivative in Caputo sense with nonlocal kernel. Furthermore, some theoretical analyses have been done such as boundedness, positivity, existence and uniqueness of the considered. Disease-free and endemic equilibrium points were also assessed. The basic reproduction was calculated through next generation technique. Due to high risk of infection, in the present study, we have considered the reported cases from three continents namely Americas, Europe, and south-east Asia. The reported cases were considered between 1st May 2021 and 31st July 2021 and on the basis of this data, the spread of infection is predicted for the next 200 days. The graphical solution of the considered nonlinear fractional model was obtained via numerical scheme by implementing the MATLAB software. Based on the fitted values of parameters, the basic reproduction number [Formula: see text] for the case of America, Asia and Europe were calculated as [Formula: see text] , [Formula: see text] and [Formula: see text] respectively. It is also observed that the spread of infection in America is comparatively high followed by Asia and Europe. Moreover, the effect of fractional parameter is shown on the dynamics of spread of infection among different classes. Additionally, the effect of quarantined and treatment of infected individuals is also shown graphically. From the present analysis it is observed that awareness of being quarantine and proper treatment can reduce the infection rate dramatically and a minimal variation in quarantine and treatment rates of infected individuals can lead us to decrease the rate of infection.
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spelling pubmed-88577802022-02-22 A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel Ahmad, Zubair El-Kafrawy, Sherif A. Alandijany, Thamir A. Giannino, Francesco Mirza, Ahmed A. El-Daly, Mai M. Faizo, Arwa A. Bajrai, Leena H. Kamal, Mohammad Amjad Azhar, Esam I. Comput Biol Chem Article In this paper, a compartmental mathematical model has been utilized to gain a better insight about the future dynamics of COVID-19. The total human population is divided into eight various compartments including susceptible, exposed, pre-asymptomatic, asymptomatic, symptomatic, quarantined, hospitalized and recovered or removed individuals. The problem was modeled in terms of highly nonlinear coupled system of classical order ordinary differential equations (ODEs) which was further generalized with the Atangana-Balaeanu (ABC) fractional derivative in Caputo sense with nonlocal kernel. Furthermore, some theoretical analyses have been done such as boundedness, positivity, existence and uniqueness of the considered. Disease-free and endemic equilibrium points were also assessed. The basic reproduction was calculated through next generation technique. Due to high risk of infection, in the present study, we have considered the reported cases from three continents namely Americas, Europe, and south-east Asia. The reported cases were considered between 1st May 2021 and 31st July 2021 and on the basis of this data, the spread of infection is predicted for the next 200 days. The graphical solution of the considered nonlinear fractional model was obtained via numerical scheme by implementing the MATLAB software. Based on the fitted values of parameters, the basic reproduction number [Formula: see text] for the case of America, Asia and Europe were calculated as [Formula: see text] , [Formula: see text] and [Formula: see text] respectively. It is also observed that the spread of infection in America is comparatively high followed by Asia and Europe. Moreover, the effect of fractional parameter is shown on the dynamics of spread of infection among different classes. Additionally, the effect of quarantined and treatment of infected individuals is also shown graphically. From the present analysis it is observed that awareness of being quarantine and proper treatment can reduce the infection rate dramatically and a minimal variation in quarantine and treatment rates of infected individuals can lead us to decrease the rate of infection. Elsevier Ltd. 2022-06 2022-02-19 /pmc/articles/PMC8857780/ /pubmed/35276575 http://dx.doi.org/10.1016/j.compbiolchem.2022.107645 Text en © 2022 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
Ahmad, Zubair
El-Kafrawy, Sherif A.
Alandijany, Thamir A.
Giannino, Francesco
Mirza, Ahmed A.
El-Daly, Mai M.
Faizo, Arwa A.
Bajrai, Leena H.
Kamal, Mohammad Amjad
Azhar, Esam I.
A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title_full A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title_fullStr A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title_full_unstemmed A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title_short A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel
title_sort global report on the dynamics of covid-19 with quarantine and hospitalization: a fractional order model with non-local kernel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857780/
https://www.ncbi.nlm.nih.gov/pubmed/35276575
http://dx.doi.org/10.1016/j.compbiolchem.2022.107645
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