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Prosocial behavior on testing and quarantine in an epidemic disease.

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Title: Prosocial behavior on testing and quarantine in an epidemic disease.
Authors: Khatun, Khadija1,2 (AUTHOR) khadija.apm@du.ac.bd, Khan, Md Mamun-Ur-Rashid1,3 (AUTHOR), Tanimoto, Jun1,4 (AUTHOR) tanimoto@cm.kyushu-u.ac.jp
Source: Applied Mathematics & Computation. Jun2026, Vol. 519, pN.PAG-N.PAG. 1p.
Subjects: Prosocial behavior, Epidemics, Quarantine, Ethical problems, Evaluation methodology, Public health, Disease progression, Economic impact
Abstract: • Thoroughly revised the introduction to provide a more comprehensive and cohesive literature review that clearly establishes the research gap and improves readability. • Quantification of nontrivial dynamical behaviors and estimation of the sensitivity of disease control parameters. • Revised conclusion to broaden future direction. Effective management of disease outbreaks requires a comprehensive understanding of the complex interplay between individual decision-making, disease dynamics, and societal objectives. We incorporate a mathematical disease model coupling with behavior-driven testing and quarantining to mitigate disease and capture the social dilemma behind the dynamics using social efficiency deficit. The results obtained from the numerical finite difference method indicate that a behavior-driven approach is more effective in controlling outbreaks and limiting disease spread compared to a constant strategy. The social dilemma reaches its peak at a critical transmission rate threshold, wherein either the proportion of symptomatic infectious individuals attains its maximum value or the rate of waning immunity surpasses a specific threshold. Furthermore, the social dilemma culminates when both the economic cost associated with the disease and the cost of quarantining symptomatic individuals reach their respective maxima, giving rise to a convergence of conflicting objectives between individual and societal interests. These findings underscore the complexity of disease management strategies and the importance of carefully balancing economic considerations with public health imperatives. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:• Thoroughly revised the introduction to provide a more comprehensive and cohesive literature review that clearly establishes the research gap and improves readability. • Quantification of nontrivial dynamical behaviors and estimation of the sensitivity of disease control parameters. • Revised conclusion to broaden future direction. Effective management of disease outbreaks requires a comprehensive understanding of the complex interplay between individual decision-making, disease dynamics, and societal objectives. We incorporate a mathematical disease model coupling with behavior-driven testing and quarantining to mitigate disease and capture the social dilemma behind the dynamics using social efficiency deficit. The results obtained from the numerical finite difference method indicate that a behavior-driven approach is more effective in controlling outbreaks and limiting disease spread compared to a constant strategy. The social dilemma reaches its peak at a critical transmission rate threshold, wherein either the proportion of symptomatic infectious individuals attains its maximum value or the rate of waning immunity surpasses a specific threshold. Furthermore, the social dilemma culminates when both the economic cost associated with the disease and the cost of quarantining symptomatic individuals reach their respective maxima, giving rise to a convergence of conflicting objectives between individual and societal interests. These findings underscore the complexity of disease management strategies and the importance of carefully balancing economic considerations with public health imperatives. [ABSTRACT FROM AUTHOR]
ISSN:00963003
DOI:10.1016/j.amc.2026.129949