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

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	https://doi.org/10.1109/BESC.2016.7804489
出版ステータス	Published - 2017 1 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 11 → 2016 11 13

Other

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

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

文献へのアクセス

10.1109/BESC.2016.7804489

フィンガープリント「Simulation analysis of immunization policy diffusion in social network with ABM approach」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

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.

研究成果: 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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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.",

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