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

Jiao Xue; Takao Terano; Hiroshi Deguchi; Manabu Ichikawa

doi:10.1109/BESC.2016.7804489

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 proceeding › Conference contribution

2 Citations (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 language	English
Title of host publication	IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509061648
DOIs	https://doi.org/10.1109/BESC.2016.7804489
Publication status	Published - 2017 Jan 3
Externally published	Yes
Event	IEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016 - Durham, United States Duration: 2016 Nov 11 → 2016 Nov 13

Other

Other	IEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016
Country/Territory	United States
City	Durham
Period	16/11/11 → 16/11/13

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

Access to Document

10.1109/BESC.2016.7804489

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

Simulation analysis of immunization policy diffusion in social network with ABM approach. / Xue, Jiao; Terano, Takao; Deguchi, Hiroshi; Ichikawa, Manabu.

IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing. Institute of Electrical and Electronics Engineers Inc., 2017. 7804489.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., IEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016, Durham, United States, 16/11/11. https://doi.org/10.1109/BESC.2016.7804489

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title = "Simulation analysis of immunization policy diffusion in social network with ABM approach",

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.",

keywords = "Agent-based Modeling, Immunization Policy Diffusion, Pandemic Immunization Simulation, Social Network Interaction, Vaccination Decision-making",

author = "Jiao Xue and Takao Terano and Hiroshi Deguchi and Manabu Ichikawa",

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AB - 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.

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

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