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http://hdl.handle.net/10397/94220
Title: | A multi-criterion approach to optimal vaccination planning : method and solution | Authors: | Ng, CT Cheng, TCE Tsadikovich, D Levner, E Elalouf, A Hovav, S |
Issue Date: | Dec-2018 | Source: | Computers and industrial engineering, Dec. 2018, v. 126, p. 637-649 | 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. | Keywords: | Influenza vaccination Optimal vaccination strategy Targeted vaccination Vaccine supply chain |
Publisher: | Pergamon Press | Journal: | Computers and industrial engineering | ISSN: | 0360-8352 | EISSN: | 1879-0550 | DOI: | 10.1016/j.cie.2018.10.018 | Rights: | © 2018 Elsevier Ltd. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ The following publication Ng, C. T., Cheng, T. C. E., Tsadikovich, D., Levner, E., Elalouf, A., & Hovav, S. (2018). A multi-criterion approach to optimal vaccination planning: Method and solution. Computers & Industrial Engineering, 126, 637-649 is available at https://doi.org/10.1016/j.cie.2018.10.018. |
Appears in Collections: | Journal/Magazine Article |
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