Impact of imperfect vaccination and defense against contagion on vaccination behavior in complex networks

Kazuki Kuga, Jun Tanimoto

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

We explore a mathematical framework of the vaccination game taking into account spatial structure, say, and degree distribution amid individuals. The framework presumes SIR/V dynamics in a season, which is followed by a strategy update process that estimates whether an individual will take a protecting measure, considering imperfect vaccination or defense against contagion. The numerical result based on multi-agent simulations (MAS) validates our theory, suggesting that a more heterogeneous spatial structure is vulnerable to an epidemic. This conclusion is consistent with the qualitative knowledge that a pandemic arises more easily in a scale-free network than in homogeneous networks because of the negative contribution of hub agents acting as super spreaders. Highlights - A new theoretical model is established for the vaccination game with a SIR/V model and either imperfect vaccination or intermediate measures. - The model considers degree distribution amid individuals, which significantly influences disease spreading. - The model is validated by simulation results. - The results prove that a more heterogeneous network is disadvantageous to prevent disease spreading.

Original languageEnglish
Article number113402
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2018
Issue number11
DOIs
Publication statusPublished - Nov 15 2018

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Contagion
Vaccination
Imperfect
Complex Networks
games
Spatial Structure
Degree Distribution
Game
Multi-agent Simulation
hubs
Heterogeneous Networks
Scale-free Networks
Theoretical Model
simulation
Update
Model
Numerical Results
Complex networks
estimates
Estimate

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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