Simulation analysis of immunization policy diffusion in social network with ABM approach

Jiao Xue, Takao Terano, Hiroshi Deguchi, Manabu Ichikawa

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Immunization policy strives to promote vaccination coverage in population-wide social network of community by encouraging vaccination for a group of vulnerable population and accelerating health awareness diffusion in the personal networks of vaccinators. In order to determine the relative prognostic importance of the various factors predisposing to vaccination decision-making of individual and analyze diffusion of innovation in immunization policy adoption on overall social network architecture, this paper carries out an agent-based modeling (ABM) approach to construct a pandemic immunization simulation model for providing insights into immunization behavior modification of individual during social interaction in community. Simulation results give decision support to assess the relative impact of healthcare services for pandemic control and suggest that reasonable immunization policies tend to promote individual immunization behavior. Moreover, propagation path of immunization awareness inside the community can be reviewed in depth in the simulation result.

本文言語English
ホスト出版物のタイトルIEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509061648
DOI
出版ステータスPublished - 2017 1月 3
外部発表はい
イベントIEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016 - Durham, United States
継続期間: 2016 11月 112016 11月 13

Other

OtherIEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016
国/地域United States
CityDurham
Period16/11/1116/11/13

ASJC Scopus subject areas

  • 人工知能
  • 経済学、計量経済学および金融学(その他)
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用
  • モデリングとシミュレーション
  • 社会学および政治科学
  • カルチュラル スタディーズ

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