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Optimal control for SIRC epidemic outbreak

In this paper the mathematical SIRC epidemic model is considered. It efficiently describes diseases in which a cross immune class (C) is present, along with the susceptible (S), the infected (I) and the removed (R) ones. Controlling epidemic diseases corresponds to the introduction of vaccination, q...

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Detalles Bibliográficos
Autores principales: Iacoviello, Daniela, Stasio, Nicolino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ireland Ltd. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126881/
https://www.ncbi.nlm.nih.gov/pubmed/23399104
http://dx.doi.org/10.1016/j.cmpb.2013.01.006
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author Iacoviello, Daniela
Stasio, Nicolino
author_facet Iacoviello, Daniela
Stasio, Nicolino
author_sort Iacoviello, Daniela
collection PubMed
description In this paper the mathematical SIRC epidemic model is considered. It efficiently describes diseases in which a cross immune class (C) is present, along with the susceptible (S), the infected (I) and the removed (R) ones. Controlling epidemic diseases corresponds to the introduction of vaccination, quarantine and treatment strategies; generally only one of these actions is considered. In this paper the possibility of optimal controls both over the susceptible and the infected subjects is assumed, taking into account also limitations of resources. A suitable cost index is introduced and via the Pontryagin's Minimum Principle the optimal control strategy is determined and the existence of the optimal solution is assessed. Numerical results are developed analyzing the effects of different control strategies.
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spelling pubmed-71268812020-04-08 Optimal control for SIRC epidemic outbreak Iacoviello, Daniela Stasio, Nicolino Comput Methods Programs Biomed Article In this paper the mathematical SIRC epidemic model is considered. It efficiently describes diseases in which a cross immune class (C) is present, along with the susceptible (S), the infected (I) and the removed (R) ones. Controlling epidemic diseases corresponds to the introduction of vaccination, quarantine and treatment strategies; generally only one of these actions is considered. In this paper the possibility of optimal controls both over the susceptible and the infected subjects is assumed, taking into account also limitations of resources. A suitable cost index is introduced and via the Pontryagin's Minimum Principle the optimal control strategy is determined and the existence of the optimal solution is assessed. Numerical results are developed analyzing the effects of different control strategies. Elsevier Ireland Ltd. 2013-06 2013-02-08 /pmc/articles/PMC7126881/ /pubmed/23399104 http://dx.doi.org/10.1016/j.cmpb.2013.01.006 Text en Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Iacoviello, Daniela
Stasio, Nicolino
Optimal control for SIRC epidemic outbreak
title Optimal control for SIRC epidemic outbreak
title_full Optimal control for SIRC epidemic outbreak
title_fullStr Optimal control for SIRC epidemic outbreak
title_full_unstemmed Optimal control for SIRC epidemic outbreak
title_short Optimal control for SIRC epidemic outbreak
title_sort optimal control for sirc epidemic outbreak
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126881/
https://www.ncbi.nlm.nih.gov/pubmed/23399104
http://dx.doi.org/10.1016/j.cmpb.2013.01.006
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