Abstract
Seasonal influenza is a serious public health concern, against which vaccination is one of the most effective ways to protect people. However, the effect of vaccination on containing influenza spread critically depends on the immunization programme adopted. Therefore, the problem of finding the optimal combination of vaccination strategies, with a view to decreasing the programme cost, enhancing vaccination efficiency, and improving societal benefits, is of great theoretical and practical importance. We develop a multiple criteria mathematical programming model to address the problem, analyze the model, and derive the structural properties of the optimal solution. Conducting extensive numerical studies to assess the merit of the model, we find that an integrated strategy embracing early-stage indiscriminate mass vaccination with late-stage targeted vaccination outperforms other strategies in cost and efficacy.
Original language | English |
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Pages (from-to) | 637-649 |
Number of pages | 13 |
Journal | Computers and Industrial Engineering |
Volume | 126 |
DOIs | |
State | Published - Dec 2018 |
Bibliographical note
Publisher Copyright:© 2018
Funding
We wish to thank the Editor and anonymous reviewers for their constructive and very useful suggestions. The work was supported in part by the University Grant Council under grant number PolyU 152629/16E .
Funders | Funder number |
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University Grant Council | PolyU 152629/16E |
Keywords
- Influenza vaccination
- Optimal vaccination strategy
- Targeted vaccination
- Vaccine supply chain