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...

ver descrição completa

Detalhes bibliográficos
Autores: Das, Meghadri, Samanta, Guruprasad, De la Sen Parte, Manuel
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universidad del País Vasco
Repositório:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/54070
Acesso em linha:http://hdl.handle.net/10810/54070
Access Level:Acceso aberto
Palavra-chave:Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
id ES_e2feb63b2e95bd348e30924105e635d3
oai_identifier_str oai:addi.ehu.eus:10810/54070
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Fractional Ordered COVID-19 Model Incorporating Comorbidity and VaccinationDas, MeghadriSamanta, GuruprasadDe la Sen Parte, ManuelCaputo fractional differential equationCOVID-19stabilitysensitivity indexcontrolThe 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.This research was funded by the Spanish Government for its support through grant RTI2018-094336-B-I00 (MCIU/AEI/FEDER, UE) and to the Basque Government for its support through grant IT1207-19.MDPI2021202120212021info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/54070reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MCIU/RTI2018-094336-B-I00/https://www.mdpi.com/2227-7390/9/21/2806/htminfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/es/2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).oai:addi.ehu.eus:10810/540702026-06-18T09:23:17Z
dc.title.none.fl_str_mv A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
title A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
spellingShingle A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
Das, Meghadri
Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
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 A Fractional Ordered COVID-19 Model Incorporating Comorbidity and Vaccination
dc.creator.none.fl_str_mv Das, Meghadri
Samanta, Guruprasad
De la Sen Parte, Manuel
author Das, Meghadri
author_facet Das, Meghadri
Samanta, Guruprasad
De la Sen Parte, Manuel
author_role author
author2 Samanta, Guruprasad
De la Sen Parte, Manuel
author2_role author
author
dc.subject.none.fl_str_mv Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
topic Caputo fractional differential equation
COVID-19
stability
sensitivity index
control
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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/54070
url http://hdl.handle.net/10810/54070
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MCIU/RTI2018-094336-B-I00/
https://www.mdpi.com/2227-7390/9/21/2806/htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422461177561088
score 15.300719

Registros relacionados