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Constrained optimal control applied to vaccination for influenza

The efficient time schedule and prioritization of vaccine supplies are important in mitigating impact of an influenza pandemic. In practice, there are restrictions associated with limited vaccination coverage and the maximum daily vaccine administration. We extend previous work on optimal control fo...

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Detalles Bibliográficos
Autores principales: Kim, Jungeun, Kwon, Hee-Dae, Lee, Jeehyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125829/
https://www.ncbi.nlm.nih.gov/pubmed/32288204
http://dx.doi.org/10.1016/j.camwa.2015.12.044
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author Kim, Jungeun
Kwon, Hee-Dae
Lee, Jeehyun
author_facet Kim, Jungeun
Kwon, Hee-Dae
Lee, Jeehyun
author_sort Kim, Jungeun
collection PubMed
description The efficient time schedule and prioritization of vaccine supplies are important in mitigating impact of an influenza pandemic. In practice, there are restrictions associated with limited vaccination coverage and the maximum daily vaccine administration. We extend previous work on optimal control for influenza to reflect these realistic restrictions using mixed constraints on state and control variables. An optimal control problem is formulated with the aim of minimizing the number of infected individuals while considering intervention costs. Time-dependent vaccination is computed and analysed using a model incorporating heterogeneity in population structure under different settings of transmissibility levels, vaccine coverages, and time delays.
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spelling pubmed-71258292020-04-08 Constrained optimal control applied to vaccination for influenza Kim, Jungeun Kwon, Hee-Dae Lee, Jeehyun Comput Math Appl Article The efficient time schedule and prioritization of vaccine supplies are important in mitigating impact of an influenza pandemic. In practice, there are restrictions associated with limited vaccination coverage and the maximum daily vaccine administration. We extend previous work on optimal control for influenza to reflect these realistic restrictions using mixed constraints on state and control variables. An optimal control problem is formulated with the aim of minimizing the number of infected individuals while considering intervention costs. Time-dependent vaccination is computed and analysed using a model incorporating heterogeneity in population structure under different settings of transmissibility levels, vaccine coverages, and time delays. Elsevier Ltd. 2016-06 2016-01-21 /pmc/articles/PMC7125829/ /pubmed/32288204 http://dx.doi.org/10.1016/j.camwa.2015.12.044 Text en © 2016 Elsevier 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
Kim, Jungeun
Kwon, Hee-Dae
Lee, Jeehyun
Constrained optimal control applied to vaccination for influenza
title Constrained optimal control applied to vaccination for influenza
title_full Constrained optimal control applied to vaccination for influenza
title_fullStr Constrained optimal control applied to vaccination for influenza
title_full_unstemmed Constrained optimal control applied to vaccination for influenza
title_short Constrained optimal control applied to vaccination for influenza
title_sort constrained optimal control applied to vaccination for influenza
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125829/
https://www.ncbi.nlm.nih.gov/pubmed/32288204
http://dx.doi.org/10.1016/j.camwa.2015.12.044
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