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dc.contributor.authorYe, Mengbin
dc.contributor.authorAnderson, B.D.O.
dc.date.accessioned2022-10-05T08:55:44Z
dc.date.available2022-10-05T08:55:44Z
dc.date.issued2022
dc.identifier.citationYe, M. and Anderson, B.D.O. 2022. Competitive epidemic spreading over networks. IEEE Control Systems Letters. 7: pp. 545-552.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/89413
dc.identifier.doi10.1109/LCSYS.2022.3199165
dc.description.abstract

In this letter, we consider an epidemic model for two competitive viruses spreading over a metapopulation network, termed the ‘bivirus model’ for convenience. The dynamics are described by a networked continuoustime dynamical system, with each node representing a population and edges representing infection pathways for the viruses.We survey existing results on the bivirus model beginning with the nature of the equilibria, including whether they are isolated, and where they exist within the state space with the corresponding interpretation in the context of epidemics. We identify key convergence results, including the conclusion that for generic system parameters, global convergence occurs for almost all initial conditions. Conditions relating to the stability properties of various equilibria are also presented. In presenting these results, we also recall some of the key tools and theories used to secure them. We conclude by discussing the various open problems, ranging from control and network optimization, to further characterization of equilibria, and finally extensions such as modeling three or more viruses.

dc.titleCompetitive epidemic spreading over networks
dc.typeJournal Article
dcterms.source.titleIEEE Control Systems Letters
dc.date.updated2022-10-05T08:55:43Z
curtin.note

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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]
dcterms.source.eissn2475-1456
curtin.contributor.scopusauthoridYe, Mengbin [56203529600]


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