PandemieGrippaleV1, PubMed, Corpus, bibRecord, 000526

Constrained optimal control applied to vaccination for influenza.

Identifieur interne : 000526 ( PubMed/Corpus ); précédent : 000525; suivant : 000527

Constrained optimal control applied to vaccination for influenza.

Auteurs : Jungeun Kim ; Hee-Dae Kwon ; Jeehyun Lee

Source :

Computers & mathematics with applications (Oxford, England : 1987) [ 0898-1221 ] ; 2016.

RBID : pubmed:32288204

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.

DOI: 10.1016/j.camwa.2015.12.044
PubMed: 32288204

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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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Constrained optimal control applied to vaccination for influenza.

Constrained optimal control applied to vaccination for influenza.

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