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.
| Original language | English |
|---|---|
| Pages (from-to) | 2313-2329 |
| Number of pages | 17 |
| Journal | Computers and Mathematics with Applications |
| Volume | 71 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2016 Jun 1 |
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All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Computational Theory and Mathematics
- Computational Mathematics
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Constrained optimal control applied to vaccination for influenza. / Kim, Jungeun; Kwon, Hee Dae; Lee, Jeehyun.
In: Computers and Mathematics with Applications, Vol. 71, No. 11, 01.06.2016, p. 2313-2329.Research output: Contribution to journal › Article
TY - JOUR
T1 - Constrained optimal control applied to vaccination for influenza
AU - Kim, Jungeun
AU - Kwon, Hee Dae
AU - Lee, Jeehyun
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=84955514773&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2015.12.044
DO - 10.1016/j.camwa.2015.12.044
M3 - Article
AN - SCOPUS:84955514773
VL - 71
SP - 2313
EP - 2329
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
SN - 0898-1221
IS - 11
ER -