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
N1 - Publisher Copyright:
© 2016 IEEE.
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
T3 - IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
BT - IEEE/ACM BESC 2016 - Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE/ACM International Conference on Behavioral, Economic, Socio - Cultural Computing, BESC 2016
Y2 - 11 November 2016 through 13 November 2016
ER -