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Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic

In the present paper, a mathematical model using the non-linear differential equations depicting the impact of Covid-19 on unemployment is discussed. The stability of the system is studied and model is reformulated as an optimal control problem. To assess the impact of unemployment on human populati...

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Detalles Bibliográficos
Autores principales: Arora, Charu, Yadav, Sudhakar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214358/
http://dx.doi.org/10.1007/s40995-023-01469-9
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author Arora, Charu
Yadav, Sudhakar
author_facet Arora, Charu
Yadav, Sudhakar
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collection PubMed
description In the present paper, a mathematical model using the non-linear differential equations depicting the impact of Covid-19 on unemployment is discussed. The stability of the system is studied and model is reformulated as an optimal control problem. To assess the impact of unemployment on human population, two time-dependent controls are used. Providing education and training of job-oriented persons act as first control and campaigning about the awareness of coronavirus disease and self-employment business is the second control. Necessary conditions for optimal control are derived by Pontryagins maximum principle. Further, the results are illustrated by numerical simulation.
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spelling pubmed-102143582023-05-30 Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic Arora, Charu Yadav, Sudhakar Iran J Sci Research Paper In the present paper, a mathematical model using the non-linear differential equations depicting the impact of Covid-19 on unemployment is discussed. The stability of the system is studied and model is reformulated as an optimal control problem. To assess the impact of unemployment on human population, two time-dependent controls are used. Providing education and training of job-oriented persons act as first control and campaigning about the awareness of coronavirus disease and self-employment business is the second control. Necessary conditions for optimal control are derived by Pontryagins maximum principle. Further, the results are illustrated by numerical simulation. Springer International Publishing 2023-05-26 /pmc/articles/PMC10214358/ http://dx.doi.org/10.1007/s40995-023-01469-9 Text en © The Author(s), under exclusive licence to Shiraz University 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Paper
Arora, Charu
Yadav, Sudhakar
Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title_full Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title_fullStr Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title_full_unstemmed Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title_short Optimal Control Strategies to Cope with Unemployment During the Covid-19 Pandemic
title_sort optimal control strategies to cope with unemployment during the covid-19 pandemic
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214358/
http://dx.doi.org/10.1007/s40995-023-01469-9
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