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dc.contributor.authorFrieswijk, K.
dc.contributor.authorZino, L.
dc.contributor.authorYe, Mengbin
dc.contributor.authorRizzo, A.
dc.contributor.authorCao, M.
dc.identifier.citationFrieswijk, K. and Zino, L. and Ye, M. and Rizzo, A. and Cao, M. 2022. A Mean-Field Analysis of a Network Behavioral-Epidemic Model. IEEE Control Systems Letters. 6: pp. 2533-2538.

The spread of an epidemic disease and the population's collective behavioral response are deeply intertwined, influencing each other's evolution. Such a co-evolution typically has been overlooked in mathematical models, limiting their real-world applicability. To address this gap, we propose and analyse a behavioral-epidemic model, in which a susceptible-infected-susceptible epidemic model and an evolutionary game-theoretic decision-making mechanism concerning the use of self-protective measures are coupled. Through a mean-field approach, we characterize the asymptotic behavior of the system, deriving conditions for global convergence to a disease-free equilibrium and characterizing the endemic equilibria of the system and their (local) stability properties. Interestingly, for a certain range of the model parameters, we prove global convergence to a limit cycle, characterized by periodic epidemic outbreaks and collective behavioral response.

dc.titleA Mean-Field Analysis of a Network Behavioral-Epidemic Model
dc.typeJournal Article
dcterms.source.titleIEEE Control Systems Letters

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curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidYe, Mengbin [0000-0003-1698-0173]
curtin.contributor.scopusauthoridYe, Mengbin [56203529600]

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