ArticleInternational journal of environmental research and public health2019
The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 35 citations in OpenAlex.
- Emergence of shield immunity during spatial contagions.Npj complexity · 2025Article
- Bounded risk disposition explains Turing patterns and tipping points during spatial contagions.Royal Society open science · 2024Article
- Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing.PLOS global public health · 2023Article
- Voluntary vaccination may not stop monkeypox outbreak: A game-theoretic model.PLoS neglected tropical diseases · 2022Article
- A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures.Scientific reports · 2022Article
- Vaccination intentions generate racial disparities in the societal persistence of COVID-19.Scientific reports · 2021Article
- A novel compartmental model to capture the nonlinear trend of COVID-19.Computers in biology and medicine · 2021Article
- Optimal governance and implementation of vaccination programmes to contain the COVID-19 pandemic.Royal Society open science · 2021Article
- Interfering with influenza: nonlinear coupling of reactive and static mitigation strategies.Journal of the Royal Society, Interface · 2020Article
- Phase Transitions in Spatial Connectivity during Influenza Pandemics.Entropy (Basel, Switzerland) · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
We present a series of SIR-network models, extended with a game-theoretic treatment of imitation dynamics which result from regular population mobility across residential and work areas and the ensuing interactions. Each considered SIR-network model captures a class of vaccination behaviours influenced by epidemic characteristics, interaction topology, and imitation dynamics. Our focus is the resultant vaccination coverage, produced under voluntary vaccination schemes, in response to these varying factors. Using the next generation matrix method, we analytically derive and compare expressions for the basic reproduction number R 0 for the proposed SIR-network models. Furthermore, we simulate the epidemic dynamics over time for the considered models, and show that if individuals are sufficiently responsive towards the changes in the disease prevalence, then the more expansive travelling patterns encourage convergence to the endemic, mixed equilibria. On the contrary, if individuals are insensitive to changes in the disease prevalence, we find that they tend to remain unvaccinated. Our results concur with earlier studies in showing that residents from highly connected residential areas are more likely to get vaccinated. We also show that the existence of the individuals committed to receiving vaccination reduces R 0 and delays the disease prevalence, and thus is essential to containing epidemics.
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