Abstract
Vaccination subsidy is one of the major types of public health services. In order to evaluate the efficiency of the subsidy, this research carries out an Agent-Based Simulation approach. By leading strategies with different levels of subsidy into the social system and simulating the spread of influenza infection on a layout based on the daily life of every agent, the research constructs an immunization model depending on decision making of each agent. As a result, the model suggests that vaccination subsidy tend to take a positive role and gives decision support to assess the relative impact of public health services for influenza control.
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Acknowledgments
My deepest gratitude goes foremost to foundation for the FOST (Fusion Of Science and Technology), thanks for their financial support.
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Xue, J., Ichikawa, M., Deguchi, H. (2015). Simulation Analysis of Vaccination Subsidy with ABM Approach. In: Nakai, Y., Koyama, Y., Terano, T. (eds) Agent-Based Approaches in Economic and Social Complex Systems VIII. Agent-Based Social Systems, vol 13. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55236-9_8
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DOI: https://doi.org/10.1007/978-4-431-55236-9_8
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55235-2
Online ISBN: 978-4-431-55236-9
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