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From cyber space opinion leaders and the diffusion of anti-vaccine extremism to physical space disease outbreaks

  • George Mason University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Measles is one of the leading causes of death among young children. In many developed countries with high measles, mumps, and rubella (MMR) vaccine coverage, measles outbreaks still happen each year. Previous research has demonstrated that what underlies the paradox of high vaccination coverage and measles outbreaks is the ineffectiveness of “herd immunity”, which has the false assumption that people are mixing randomly and there’s equal distribution of vaccinated population. In reality, the unvaccinated population is often clustered instead of not equally distributed. Meanwhile, the Internet has been one of the dominant information sources to gain vaccination knowledge and thus has also been the locus of the “anti-vaccine movement”. In this paper, we propose an agent-based model that explores sentiment diffusion and how this process creates anti-vaccination opinion clusters that leads to larger scale disease outbreaks. The model separates cyber space (where information diffuses) and physical space (where both information diffuses and diseases transmit). The results show that cyber space anti-vaccine opinion leaders have such an influence on anti-vaccine sentiments diffusion in the information network that even if the model starts with the majority of the population being pro-vaccine, the degree of disease outbreaks increases significantly.

Original languageEnglish
Title of host publicationSocial, Cultural, and Behavioral Modeling - 10th International Conference, SBP-BRiMS 2017, Proceedings
EditorsNathaniel Osgood, Dongwon Lee, Robert Thomson, Yu-Ru Lin
PublisherSpringer Verlag
Pages114-119
Number of pages6
ISBN (Print)9783319602394
DOIs
StatePublished - 2017
Event10th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2017 - Washington, United States
Duration: Jul 5 2017Jul 8 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10354 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2017
Country/TerritoryUnited States
CityWashington
Period07/5/1707/8/17

Keywords

  • Agent-based modelling
  • Infectious disease transmission
  • Information networks

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