Imitation and memory-based self-organizing behaviors under voluntary vaccination

Guangliang Liu, Hongjun Qiu, Benyun SHI*, Zhen Wang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Understanding human voluntary vaccinating behaviors plays essential roles in designing incentive-based vaccination programs for public health authorities to eliminate or eradicate an vaccine-preventable disease. Usually, individuals make vaccinating decisions by weighing the cost of vaccination and infection, which can be perceived based on their vaccinating experiences. However, in reality, an individual's decision can also be influenced by others. Along this line, in this paper, we present an imitation and memory-based self-organization mechanism to investigate human voluntary vaccinating behaviors, which takes into consideration both individuals' historical experiences and the impact of social influence. Through carrying out simulations on flu-like seasonal diseases, we evaluate the combined effects of both imitation and memory on the final vaccine coverage level with respect to different relative cost of vaccination and infection. Simulation results show that the imitation-based behavior has a greater impact on public vaccine coverage level than the memory-based rational behavior under voluntary vaccination, which emphasizes the importance of social guidance in disease intervention and control.

Original languageEnglish
Title of host publication2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages491-496
Number of pages6
ISBN (Electronic)9781538630167
DOIs
Publication statusPublished - 27 Feb 2018
Event2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017 - Shenzhen, China
Duration: 15 Dec 201717 Dec 2017

Publication series

Name2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Volume2018-January

Conference

Conference2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Country/TerritoryChina
CityShenzhen
Period15/12/1717/12/17

Scopus Subject Areas

  • Safety, Risk, Reliability and Quality
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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