Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Imitation dynamics predict vaccinating behaviour.

Chris T Bauch1

  • 1Department of Mathematics and Statistics, University of Guelph Guelph, Ontario, Canada N1G 2W1. cbauch@uoguelph.ca

Proceedings. Biological Sciences
|August 10, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Implications of regional variations in climate change vulnerability and mitigation behaviour for social-climate dynamics.

Nature communications·2026
Same author

When simple is enough: Binary models capture social complexity in coupled human-environment systems.

Mathematical biosciences·2026
Same author

Prejudice and objectivity, not social influence, determine long-term outcomes in coupled opinion-environment dynamics in polarized populations.

Journal of theoretical biology·2026
Same author

Homophily in a multi-group vaccination game and its impact on disease dynamics.

Proceedings. Biological sciences·2026
Same author

Forecasting infectious disease outbreak risks from vaccine sentiments on social media: A data-driven dynamical systems approach.

Mathematical biosciences and engineering : MBE·2025
Same author

"Early, rapid, aggressive": when strategic interactions between governments, opposition, and lobbies can hinder effective responses to epidemics.

Frontiers in epidemiology·2025
Same journal

Chronic limb loading results in remarkable load carriage economy in growing fowl.

Proceedings. Biological sciences·2026
Same journal

Motion-from-structure in face perception: expectations of natural face motion depend on face shape.

Proceedings. Biological sciences·2026
Same journal

Unification and generalization of models of zygote survival.

Proceedings. Biological sciences·2026
Same journal

Phenological type- and diameter-dependent effects of individual light availability and interannual climate variation on tree growth.

Proceedings. Biological sciences·2026
Same journal

Interaction range of common goods shapes Black Queen dynamics beyond the cheater-cooperator narrative.

Proceedings. Biological sciences·2026
Same journal

Stingray spine diversity reflects performance trade-offs linked to puncture and breakability.

Proceedings. Biological sciences·2026
See all related articles

Understanding vaccine uptake dynamics is key. Game theory models show that imitation and sensitivity to disease prevalence can cause vaccine uptake oscillations, especially with high perceived vaccine risks.

Area of Science:

  • Epidemiology
  • Game Theory
  • Behavioral Science

Background:

  • Vaccine coverage, disease prevalence, and individual vaccination decisions are interconnected.
  • Herd immunity creates strategic interactions influencing vaccination choices due to shared risk.
  • Understanding these dynamics is crucial for public health interventions.

Purpose of the Study:

  • To develop a game dynamic model analyzing the interplay between vaccination behavior, disease prevalence, and herd immunity.
  • To investigate factors influencing oscillations in vaccine uptake.
  • To assess the feasibility of game theoretical models for predicting and managing vaccination dynamics.

Main Methods:

  • Developed a game dynamic model incorporating imitation dynamics (learning) for strategy adoption.

Related Experiment Videos

  • Modeled vaccination decisions based on disease prevalence and perceived risks of vaccines and disease.
  • Validated the model against historical data from the 1970s pertussis vaccine scare in England and Wales.
  • Main Results:

    • Oscillations in vaccine uptake are more probable with higher imitation rates or greater sensitivity to disease prevalence.
    • Increased perceived risk of vaccines also correlates with a higher likelihood of uptake oscillations.
    • The model successfully replicated key features of vaccine uptake and disease prevalence changes during the pertussis vaccine scare.

    Conclusions:

    • Game theoretical models offer a viable approach to understanding and potentially managing population-level vaccination behavior.
    • Factors like social imitation and risk perception significantly impact vaccine uptake stability.
    • The study highlights the complex, dynamic nature of vaccination decisions within a population context.