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

Jiao Xue, Takao Terano, Hiroshi Deguchi, Manabu Ichikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509061648
DOIs
Publication statusPublished - 2017 Jan 3
Externally publishedYes
EventIEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016 - Durham, United States
Duration: 2016 Nov 112016 Nov 13

Other

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

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Keywords

  • Agent-based Modeling
  • Immunization Policy Diffusion
  • Pandemic Immunization Simulation
  • Social Network Interaction
  • Vaccination Decision-making

ASJC Scopus subject areas

  • Artificial Intelligence
  • Economics, Econometrics and Finance (miscellaneous)
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Modelling and Simulation
  • Sociology and Political Science
  • Cultural Studies

Cite this

Xue, J., Terano, T., Deguchi, H., & Ichikawa, M. (2017). Simulation analysis of immunization policy diffusion in social network with ABM approach. In IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing [7804489] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BESC.2016.7804489