A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic
In this work, we emphasise the dynamical study of spreading COVID-19 in Bangladesh. Considering the uncertainty caused by the limited coronavirus (COVID-19) information, we have taken the modified Susceptible-Asymptomatic-Infectious-Hospitalised-Recovered (SAIHR) compartmental model in a Caputo frac...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/57353 |
| Acceso en línea: | http://hdl.handle.net/10810/57353 |
| Access Level: | acceso abierto |
| Palabra clave: | Caputo fractional differential equation COVID-19 SAIHR compartmental model stability sensitivity index |
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A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 PandemicDas, MeghadriSamanta, GuruprasadDe la Sen Parte, ManuelCaputo fractional differential equationCOVID-19SAIHR compartmental modelstabilitysensitivity indexIn this work, we emphasise the dynamical study of spreading COVID-19 in Bangladesh. Considering the uncertainty caused by the limited coronavirus (COVID-19) information, we have taken the modified Susceptible-Asymptomatic-Infectious-Hospitalised-Recovered (SAIHR) compartmental model in a Caputo fractional order system. We have also introduced public behavioural and government policy dynamics in our model. The dynamical nature of the solutions of the system is analysed and we have also calculated the sensitivity index of different parameters. It has been observed that public behaviour and government measures play an important role in controlling the pandemic situation. The government measures (social distance, vaccination, hospitalisation, awareness programme) are more helpful than only public responses to the eradication of the COVID-19 pandemic.This research was funded by the Spanish Government for its support through grant RTI2018-094336-B-100 (MCIU/AEI/FEDER, UE) and to the Basque Government for its support through grant IT1555-22.MDPI2022202220222022info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/57353reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/MICIU/RTI2018-094336-B-100/https://www.mdpi.com/2227-7390/10/16/3020info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/© 2022 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:10810/573532026-06-18T09:23:17Z |
| dc.title.none.fl_str_mv |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| title |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| spellingShingle |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic Das, Meghadri Caputo fractional differential equation COVID-19 SAIHR compartmental model stability sensitivity index |
| title_short |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| title_full |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| title_fullStr |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| title_full_unstemmed |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| title_sort |
A Fractional Order Model to Study the Effectiveness of Government Measures and Public Behaviours in COVID-19 Pandemic |
| 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 SAIHR compartmental model stability sensitivity index |
| topic |
Caputo fractional differential equation COVID-19 SAIHR compartmental model stability sensitivity index |
| description |
In this work, we emphasise the dynamical study of spreading COVID-19 in Bangladesh. Considering the uncertainty caused by the limited coronavirus (COVID-19) information, we have taken the modified Susceptible-Asymptomatic-Infectious-Hospitalised-Recovered (SAIHR) compartmental model in a Caputo fractional order system. We have also introduced public behavioural and government policy dynamics in our model. The dynamical nature of the solutions of the system is analysed and we have also calculated the sensitivity index of different parameters. It has been observed that public behaviour and government measures play an important role in controlling the pandemic situation. The government measures (social distance, vaccination, hospitalisation, awareness programme) are more helpful than only public responses to the eradication of the COVID-19 pandemic. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2022 2022 2022 |
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info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10810/57353 |
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http://hdl.handle.net/10810/57353 |
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Inglés |
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Inglés |
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info:eu-repo/grantAgreement/MICIU/RTI2018-094336-B-100/ https://www.mdpi.com/2227-7390/10/16/3020 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
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MDPI |
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MDPI |
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reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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