ArticleChaos, solitons, and fractals2022
A study on prosocial behavior of wearing a mask and self-quarantining to prevent the spread of diseases underpinned by evolutionary game theory.
Article in Chaos, solitons, and fractals, 2022. 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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Who cites it
10 citing papers in PubMed.
- Revealing the complex dynamics of monkeypox epidemics in heterogeneous networks by the evolutionary game theory.Scientific reports · 2025Article
- Strategic competition in informal risk-sharing mechanisms versus collective index insurance.Journal of the Royal Society, Interface · 2025Article
- Evolution of trust in theJournal of the Royal Society, Interface · 2025Article
- Influence of waning immunity on vaccination decision-making: A multi-strain epidemic model with an evolutionary approach analyzing cost and efficacy.Infectious Disease Modelling · 2024Article
- An innovative fractional-order evolutionary game theoretical study of personal protection, quarantine, and isolation policies for combating epidemic diseases.Scientific reports · 2024Article
- Heterogeneous risk tolerance, in-groups, and epidemic waves.Frontiers in applied mathematics and statistics · 2024Article
- Individual preferences, government policy, and COVID-19: A game-theoretic epidemiological analysis.Applied mathematical modelling · 2023Article
- Time delay of the appearance of a new strain can affect vaccination behavior and disease dynamics: An evolutionary explanation.Infectious Disease Modelling · 2023Article
- Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic.Chaos, solitons, and fractals · 2023Article
- Investigating the trade-off between self-quarantine and forced quarantine provisions to control an epidemic: An evolutionary approach.Applied mathematics and computation · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
In the wake of COVID-19, mask-wearing practice and self-quarantine is thought to be the most effective means of controlling disease spread. The current study develops an epidemiological model based on the SEIR process that takes into account dynamic human behavior toward those two preventive measures. In terms of quantifying the effect of wearing a mask, our model distinguishes itself by accounting for the effect of self-protection as well as the effect of reducing a potential risk to other individuals in different formulations. Each of the two measures derived from the so-called behavior model has a dynamical equation that takes into account the delicate balance between the cost of wearing a mask/self-quarantine and the risk of infection. The dynamical system as a whole contains a social dilemma structure because of whether to commit to preventing measures or seek the possibility of infection-free without paying anything. The numerical result was delivered along the social efficiency deficit, quantifying the extent to which Nash equilibrium has been improved to a social optimal state.
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