A study on prosocial behavior of wearing a mask and self-quarantining to prevent the spread of diseases underpinned by evolutionary game theory

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 measure...

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Bibliographic Details
Published in:Chaos, solitons and fractals Vol. 158; p. 112030
Main Authors: Tori, Risa, Tanimoto, Jun
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.05.2022
Subjects:
Behavioral dynamics
Mask benefit
Mask wearing
Social efficiency deficit
Mask wearing
Social efficiency deficit
Mask benefit
Behavioral dynamics
ISSN:0960-0779, 1873-2887, 0960-0779
Online Access:Get full text
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Summary: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. PACS numbers Theory and modeling; computer simulation, 87.15.Aa; Dynamics of evolution, 87.23.Kg
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ISSN:0960-0779
1873-2887
0960-0779
DOI:10.1016/j.chaos.2022.112030