PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 21, 2026Physica D Nonlinear Phenomena0 citationsOpen Access

Irrational behaviour-induced suppression, enhancement and oscillations of voluntary vaccination: a stochastic model with delays

View Full Paper
LCLorenzo CabrielCBChris T. BauchFAFabio AnselmiUniversity of Trieste

Key Points

  • The aim is to explore the effects of human irrationality and memory on vaccination behaviors in the absence of disease.
  • Developed a deterministic imitation game framework to derive an analytical solution.
  • Introduced stochasticity through white noise to model rapid changes in public sentiment.
  • Conducted numerical simulations to observe interactions between delays, noise, and vaccination patterns.
  • Analyzed the influence of Cauchy noise on vaccination dynamics and fixation probabilities.
  • Finite-population stochasticity can lead to vaccine-free or full-coverage states.
  • Increased noise intensity causes transitions between disease-free and full-coverage regimes.
  • Discovered stochastic bistability similar to phase transitions under strong noise.
  • Heavy-tailed fluctuations significantly raise the chance of hitting vaccine-free or full coverage states.
  • Effective public health campaigns must exceed certain noise-dependent thresholds to stabilize vaccination coverage.

Abstract

We investigate how human irrationality and memory shapes voluntary vaccine uptake in the absence of disease. Building on a deterministic imitation game framework, after providing its analytical solution, we show that finite-population stochasticity alone produces either vaccine-free or full-coverage states, but with fixation times so long that the mean-field ODE model remains valid for large population sizes. To capture rapid irrational swings in public sentiment, we model them using white noise, deriving an SDE whose stationary density undergoes noise-induced transitions as noise intensity crosses critical thresholds. Larger noise can switch the population to either disease-free or full-coverage regimes, and very strong noise yields stochastic bistability reminiscent of phase transitions. Numerical simulations reveal very slow transients and rich behaviors when delays and noise interact. In particular, noise-induced quasi-cycles can onset. Generalizing to fat-tailed Cauchy noise, we find that heavy-tailed fluctuations increase the probability of fixation at zero or full coverage. Fluctuations in the imitation rate parameter produce large amplitude cycle distortions, occasionally destroying cyclic patterns. Finally, we show that a public health campaign term with ‘intensity’ exceeding a noise-dependent threshold eliminates the vaccine-free attractor and stabilizes full coverage.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Cabriel et al. (2026) studied this question.

synapsesocial.com/papers/69994bdd873532290d01fdd1https://doi.org/10.1016/j.physd.2026.135143
Ask AI
Helpful
Bookmark
Share
View Full Paper