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Bursting endemic bubbles in an adaptive network
journal contribution
posted on 2023-06-09, 12:50 authored by Neil Sherborne, Konstantin BlyussKonstantin Blyuss, Istvan KissThe spread of an infectious disease is known to change people’s behavior, which in turn affects the spread of disease. Adaptive network models that account for both epidemic and behavioral change have found oscillations, but in an extremely narrow region of the parameter space, which contrasts with intuition and available data. In this paper we propose a simple susceptible-infected-susceptible epidemic model on an adaptive network with time-delayed rewiring, and show that oscillatory solutions are now present in a wide region of the parameter space. Altering the transmission or rewiring rates reveals the presence of an endemic bubble - an enclosed region of the parameter space where oscillations are observed.
Funding
EPSRC; EP/M506667/1
History
Publication status
- Published
File Version
- Published version
Journal
Physical Review E (PRE)ISSN
2470-0045Publisher
American Physical SocietyExternal DOI
Issue
4Volume
97Page range
042306Department affiliated with
- Mathematics Publications
Research groups affiliated with
- Mathematics Applied to Biology Research Group Publications
Full text available
- Yes
Peer reviewed?
- Yes