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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2021
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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) |
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Caputo fractional differential equation COVID-19 stability sensitivity index control Mathematics QA1-939 |
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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 |
work_keys_str_mv |
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_version_ |
1718431912989556736 |