Mathematical Prediction to Combat COVID-19 in Bangladesh by Minimizing the Movement Tendency

Kabir, MH; Gani, MO; Mandal, S; Biswas, MHA

Mathematical Prediction to Combat COVID-19 in Bangladesh by Minimizing the Movement Tendency

Kabir, MH Gani, MO Mandal, S

Biswas, MHA

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Publisher:: L & H SCIENTIFIC PUBLISHING, LLC
Publication Type:: Journal Article
Citation:: Journal of Applied Nonlinear Dynamics, 2023, 12, (2), pp. 297-312
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Kabir, MH
dc.contributor.author	Gani, MO
dc.contributor.author	Mandal, S https://orcid.org/0000-0002-2448-2636
dc.contributor.author	Biswas, MHA
dc.date.accessioned	2024-05-22T01:43:02Z
dc.date.available	2024-05-22T01:43:02Z
dc.date.issued	2023-01-01
dc.identifier.citation	Journal of Applied Nonlinear Dynamics, 2023, 12, (2), pp. 297-312
dc.identifier.issn	2164-6457
dc.identifier.issn	2164-6473
dc.identifier.uri	http://hdl.handle.net/10453/179104
dc.description.abstract	In this paper, we propose a seven compartmental model based on ordinary differential equations (ODEs) to understand the importance of non-pharmaceutical interventions and pharmaceutical protocols. The boundedness and non-negativity of solutions of the model are discussed to ensure the feasibility of solutions of the model. To classify epidemic and endemic cases of the model, we determine the basic reproduction number. Local stability analysis of the non-negative equilibria is performed to gather a dependency of all compartmental populations on time. It is inspected that social awareness parameter controls the symptomatic and asymptomatic populations. It is also found that restrictions on public gathering reduce the transmission of novel coronavirus effectively. Furthermore, the recovery of the COVID-19 infected people is significantly increased when proper medication and adequate clinical support are arranged immediately. Finally, numerical results demonstrate that transmission of novel coronavirus can be prevented and regulated in a densely populated country like Bangladesh when COVID-19 health rules are strictly followed and movement of infected people is minimized as non-pharmaceutical strategies. Apart from non-pharmaceutical interference, medication during quarantine and sufficient clinical support play a pivotal role to minimize the demise of COVID-19 infected people once they are infected
dc.language	English
dc.publisher	L & H SCIENTIFIC PUBLISHING, LLC
dc.relation.ispartof	Journal of Applied Nonlinear Dynamics
dc.relation.isbasedon	10.5890/JAND.2023.06.008
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Mathematical Prediction to Combat COVID-19 in Bangladesh by Minimizing the Movement Tendency
dc.type	Journal Article
utslib.citation.volume	12
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-22T01:42:58Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	12
utslib.citation.issue	2

Abstract:

In this paper, we propose a seven compartmental model based on ordinary differential equations (ODEs) to understand the importance of non-pharmaceutical interventions and pharmaceutical protocols. The boundedness and non-negativity of solutions of the model are discussed to ensure the feasibility of solutions of the model. To classify epidemic and endemic cases of the model, we determine the basic reproduction number. Local stability analysis of the non-negative equilibria is performed to gather a dependency of all compartmental populations on time. It is inspected that social awareness parameter controls the symptomatic and asymptomatic populations. It is also found that restrictions on public gathering reduce the transmission of novel coronavirus effectively. Furthermore, the recovery of the COVID-19 infected people is significantly increased when proper medication and adequate clinical support are arranged immediately. Finally, numerical results demonstrate that transmission of novel coronavirus can be prevented and regulated in a densely populated country like Bangladesh when COVID-19 health rules are strictly followed and movement of infected people is minimized as non-pharmaceutical strategies. Apart from non-pharmaceutical interference, medication during quarantine and sufficient clinical support play a pivotal role to minimize the demise of COVID-19 infected people once they are infected

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http://hdl.handle.net/10453/179104