Is subsidizing vaccination with hub agent priority policy really meaningful to suppress disease spreading?

Masaki Tanaka, Jun Tanimoto

研究成果: Contribution to journalArticle査読

8 被引用数 (Scopus)

抄録

A Multi Agent Simulation (MAS) model that joins evolutionary game theory with epidemiological dynamics is established. Various subsidy policies that encourage vaccination are evaluated quantitatively with the model. The underlying social network topology is based on a scale-free network. Individual subsidies for vaccinations can be directed to hub agents with priority, to efficiently suppress the overall social cost of a vaccination program. These hub agents are more likely to spread both knowledge about vaccination and the disease in question. Our comprehensive simulations showed that this intuitively appealing strategy cannot be effective if the vaccination cost is low and the vaccination budget is small. Thus, we find that the hub agent priority strategy is not always effective.

本文言語英語
論文番号110059
ジャーナルJournal of Theoretical Biology
486
DOI
出版ステータス出版済み - 2 7 2020

All Science Journal Classification (ASJC) codes

  • 統計学および確率
  • モデリングとシミュレーション
  • 生化学、遺伝学、分子生物学(全般)
  • 免疫学および微生物学(全般)
  • 農業および生物科学(全般)
  • 応用数学

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