ArticleProceedings. Mathematical, physical, and engineering sciences2021
Pair approximation model for the vaccination game: predicting the dynamic process of epidemic spread and individual actions against contagion.
Article in Proceedings. Mathematical, physical, and engineering sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Social dilemma of nonpharmaceutical interventions: Determinants of dynamic compliance and behavioral shifts.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Stochasticity of disease spreading derived from the microscopic simulation approach for various physical contact networks.Applied mathematics and computation · 2022Article
- Tracing and testing multiple generations of contacts to COVID-19 cases: cost-benefit trade-offs.Royal Society open science · 2022Article
- Effects of void nodes on epidemic spreads in networks.Scientific reports · 2022Article
- Social distancing is a social dilemma game played by every individual against his/her population.PloS one · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We successfully establish a theoretical framework of pairwise approximation for the vaccination game in which both the dynamic process of epidemic spread and individual actions in helping prevent social behaviours are quantitatively evaluated. In contrast with mean-field approximation, our model captures higher-order effects from neighbours by using an underlying network that shows how the disease spreads and how individual decisions evolve over time. This model considers not only imperfect vaccination but also intermediate protective measures other than vaccines. Our analytical predictions are validated by multi-agent simulation results that estimate random regular graphs at varying degrees.
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Registered trials
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