A multi-criterion approach to optimal vaccination planning: Method and solution

C. T. Ng, T. C.E. Cheng, Dmitry Tsadikovich, Eugene Levner, Amir Elalouf, Sharon Hovav

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)637-649
Number of pages13
JournalComputers and Industrial Engineering
Volume126
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Influenza vaccination
  • Optimal vaccination strategy
  • Targeted vaccination
  • Vaccine supply chain

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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