ArticleScientific reports2014
Effects of behavioral response and vaccination policy on epidemic spreading--an approach based on evolutionary-game dynamics.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.
- Behavioural change models for infectious disease transmission: a systematic review (2010-2015).Journal of the Royal Society, Interface · 2016Pooled it
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- Modelling the mitigation of anti-vaccine opinion propagation to suppress epidemic spread: A computational approach.PloS one · 2025Article
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- Risk perception and subsidy policy-based voluntary vaccination driven by multiple information sources.PloS one · 2022Article
- How disease risk awareness modulates transmission: coupling infectious disease models with behavioural dynamics.Royal Society open science · 2022Article
- Multi-agent simulation model for the evaluation of COVID-19 transmission.Computers in biology and medicine · 2021Article
- Analysis of epidemic vaccination strategies on heterogeneous networks: Based on SEIRV model and evolutionary game.Applied mathematics and computation · 2021Article
- Study on Multi-Agent Evolutionary Game of Emergency Management of Public Health Emergencies Based on Dynamic Rewards and Punishments.International journal of environmental research and public health · 2021Article
- Pair approximation model for the vaccination game: predicting the dynamic process of epidemic spread and individual actions against contagion.Proceedings. Mathematical, physical, and engineering sciences · 2021Article
- Decisions and disease: a mechanism for the evolution of cooperation.Scientific reports · 2020Article
- Towards a data-driven characterization of behavioral changes induced by the seasonal flu.PLoS computational biology · 2020Article
- The effect of behavior of wearing masks on epidemic dynamics.Nonlinear dynamics · 2020Article
- Role of vaccine efficacy in the vaccination behavior under myopic update rule on complex networks.Chaos, solitons, and fractals · 2020Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
- The impact of rare but severe vaccine adverse events on behaviour-disease dynamics: a network model.Scientific reports · 2019Article
- Epidemic prevalence information on social networks can mediate emergent collective outcomes in voluntary vaccine schemes.PLoS computational biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How effective are governmental incentives to achieve widespread vaccination coverage so as to prevent epidemic outbreak? The answer largely depends on the complex interplay among the type of incentive, individual behavioral responses, and the intrinsic epidemic dynamics. By incorporating evolutionary games into epidemic dynamics, we investigate the effects of two types of incentives strategies: partial-subsidy policy in which certain fraction of the cost of vaccination is offset, and free-subsidy policy in which donees are randomly selected and vaccinated at no cost. Through mean-field analysis and computations, we find that, under the partial-subsidy policy, the vaccination coverage depends monotonically on the sensitivity of individuals to payoff difference, but the dependence is non-monotonous for the free-subsidy policy. Due to the role models of the donees for relatively irrational individuals and the unchanged strategies of the donees for rational individuals, the free-subsidy policy can in general lead to higher vaccination coverage. Our findings indicate that any disease-control policy should be exercised with extreme care: its success depends on the complex interplay among the intrinsic mathematical rules of epidemic spreading, governmental policies, and behavioral responses of individuals.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.