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Constrained optimal control applied to vaccination for influenza

Identifieur interne : 000986 ( Pmc/Curation ); précédent : 000985; suivant : 000987

Constrained optimal control applied to vaccination for influenza

Auteurs : Jungeun Kim [Corée du Sud] ; Hee-Dae Kwon [Corée du Sud] ; Jeehyun Lee [Corée du Sud]

Source :

RBID : PMC:7125829

Abstract

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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DOI: 10.1016/j.camwa.2015.12.044
PubMed: NONE
PubMed Central: 7125829

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PMC:7125829

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Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Republic of Korea</aff>
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Department of Mathematics, Inha University, Incheon 402-751, Republic of Korea</aff>
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Corresponding author.
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<abstract id="a000005">
<p>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.</p>
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<title>Keywords</title>
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