Constrained optimal control applied to vaccination for influenza.
Identifieur interne : 000524 ( PubMed/Checkpoint ); précédent : 000523; suivant : 000525Constrained 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 :
- Computers & mathematics with applications (Oxford, England : 1987) [ 0898-1221 ] ; 2016.
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
Affiliations:
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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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