Identifying optimal vaccination strategies via economic and epidemiological modeling

Henry Zhao, Zhilan Feng

Research output: Contribution to journalArticlepeer-review


Vaccination is among the most effective means of preventing and controlling infectious disease outbreaks. Mathematical models can be used to identify the optimal allocation of vaccine among various groups when host populations are heterogeneous. Population heterogeneity may affect individual decision-making and government policy. We show that mixing among sub-populations can profoundly influence the optimal vaccination allocation. Centralized and decentralized programs are examined, accounting for individual behavior and economic constraints. We also compare approaches to modeling transitions between epidemiological classes by epidemiological and economic modelers, and identify key differences.

Original languageEnglish (US)
Pages (from-to)423-446
Number of pages24
JournalJournal of Biological Systems
Issue number4
StatePublished - Dec 1 2019

All Science Journal Classification (ASJC) codes

  • Ecology
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics


  • Assortative Interaction
  • Epidemiological Models
  • Optimal Vaccine Allocation
  • Preferential Mixing
  • Stable Game Equilibrium


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