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 | |
| 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 | United States |
| City | Durham |
| Period | 16/11/11 → 16/11/13 |
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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
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
}
TY - GEN
T1 - Simulation analysis of immunization policy diffusion in social network with ABM approach
AU - Xue, Jiao
AU - Terano, Takao
AU - Deguchi, Hiroshi
AU - Ichikawa, Manabu
PY - 2017/1/3
Y1 - 2017/1/3
N2 - 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.
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.
KW - Agent-based Modeling
KW - Immunization Policy Diffusion
KW - Pandemic Immunization Simulation
KW - Social Network Interaction
KW - Vaccination Decision-making
UR - http://www.scopus.com/inward/record.url?scp=85014083352&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014083352&partnerID=8YFLogxK
U2 - 10.1109/BESC.2016.7804489
DO - 10.1109/BESC.2016.7804489
M3 - Conference contribution
AN - SCOPUS:85014083352
BT - IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
PB - Institute of Electrical and Electronics Engineers Inc.
ER -