View in EDS

Prosocial behavior on testing and quarantine in an epidemic disease.

Saved in:
Bibliographic Details
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]
Copyright of Applied Mathematics & Computation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 191167818
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Prosocial behavior on testing and quarantine in an epidemic disease.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Khatun%2C+Khadija%22">Khatun, Khadija</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> khadija.apm@du.ac.bd</i><br /><searchLink fieldCode="AR" term="%22Khan%2C+Md+Mamun-Ur-Rashid%22">Khan, Md Mamun-Ur-Rashid</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanimoto%2C+Jun%22">Tanimoto, Jun</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> tanimoto@cm.kyushu-u.ac.jp</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Mathematics+%26+Computation%22">Applied Mathematics & Computation</searchLink>. Jun2026, Vol. 519, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prosocial+behavior%22">Prosocial behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Quarantine%22">Quarantine</searchLink><br /><searchLink fieldCode="DE" term="%22Ethical+problems%22">Ethical problems</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+progression%22">Disease progression</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+impact%22">Economic impact</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Mathematics & Computation is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191167818
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.amc.2026.129949
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Prosocial behavior
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Quarantine
        Type: general
      – SubjectFull: Ethical problems
        Type: general
      – SubjectFull: Evaluation methodology
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Disease progression
        Type: general
      – SubjectFull: Economic impact
        Type: general
    Titles:
      – TitleFull: Prosocial behavior on testing and quarantine in an epidemic disease.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khatun, Khadija
      – PersonEntity:
          Name:
            NameFull: Khan, Md Mamun-Ur-Rashid
      – PersonEntity:
          Name:
            NameFull: Tanimoto, Jun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00963003
          Numbering:
            – Type: volume
              Value: 519
          Titles:
            – TitleFull: Applied Mathematics & Computation
              Type: main
ResultId 1