A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination

The primary goal of this research is to investigate COVID-19 transmission patterns in West Bengal, India in 2021; the first Coronavirus illness (COVID-19) in West Bengal was revealed on 17 March 2020. We employed the modified Susceptible-Asymptomatic-Vaccinated-Comorbidity-Infectious-Recovered (SAVI...

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Autores principales: Meghadri Das, Guruprasad Samanta, Manuel De la Sen
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/d36e5888875d4e1bbffa0497643909b4
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spelling oai:doaj.org-article:d36e5888875d4e1bbffa0497643909b42021-11-11T18:20:19ZA Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination10.3390/math92128062227-7390https://doaj.org/article/d36e5888875d4e1bbffa0497643909b42021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2806https://doaj.org/toc/2227-7390The primary goal of this research is to investigate COVID-19 transmission patterns in West Bengal, India in 2021; the first Coronavirus illness (COVID-19) in West Bengal was revealed on 17 March 2020. We employed the modified Susceptible-Asymptomatic-Vaccinated-Comorbidity-Infectious-Recovered (SAVICR) compartmental model as part of fractional orders because of the uncertainty created by the limited Coronavirus (COVID-19) information. In this article, two sub-compartments (Normal Infected and Infected with Co-morbidity) has been considered with vaccinated class, which is relevant in the present situation. We have studied the dynamical analysis of the system and also studied sensitivity of the parameters for West Bengal framework. We have also considered an optimal control problem taking social distancing (non-pharmaceutical treatments) as a control parameter along with vaccination.Meghadri DasGuruprasad SamantaManuel De la SenMDPI AGarticleCaputo fractional differential equationCOVID-19stabilitysensitivity indexcontrolMathematicsQA1-939ENMathematics, Vol 9, Iss 2806, p 2806 (2021)
institution DOAJ
collection DOAJ
language EN
topic Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
Mathematics
QA1-939
spellingShingle Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
Mathematics
QA1-939
Meghadri Das
Guruprasad Samanta
Manuel De la Sen
A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
description The primary goal of this research is to investigate COVID-19 transmission patterns in West Bengal, India in 2021; the first Coronavirus illness (COVID-19) in West Bengal was revealed on 17 March 2020. We employed the modified Susceptible-Asymptomatic-Vaccinated-Comorbidity-Infectious-Recovered (SAVICR) compartmental model as part of fractional orders because of the uncertainty created by the limited Coronavirus (COVID-19) information. In this article, two sub-compartments (Normal Infected and Infected with Co-morbidity) has been considered with vaccinated class, which is relevant in the present situation. We have studied the dynamical analysis of the system and also studied sensitivity of the parameters for West Bengal framework. We have also considered an optimal control problem taking social distancing (non-pharmaceutical treatments) as a control parameter along with vaccination.
format article
author Meghadri Das
Guruprasad Samanta
Manuel De la Sen
author_facet Meghadri Das
Guruprasad Samanta
Manuel De la Sen
author_sort Meghadri Das
title A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title_short A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title_full A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title_fullStr A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title_full_unstemmed A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title_sort fractional ordered covid-19 model incorporating comorbidity and vaccination
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d36e5888875d4e1bbffa0497643909b4
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