A mean-field analysis of a network behavioural-epidemic model

The spread of an epidemic disease and the population's collective behavioural 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 behavioural-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 characterise the asymptotic behaviour of the system, deriving conditions for global convergence to a disease-free equilibrium and characterising the endemic equilibria of the system and their (local) stability. Interestingly, for a certain range of the model parameters, we prove global convergence to a limit cycle, characterised by periodic epidemic outbreaks..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

arXiv.org - (2022) vom: 08. März Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Frieswijk, Kathinka [VerfasserIn]
Zino, Lorenzo [VerfasserIn]
Ye, Mengbin [VerfasserIn]
Rizzo, Alessandro [VerfasserIn]
Cao, Ming [VerfasserIn]

Links:

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doi:

10.1109/LCSYS.2022.3168260

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XAR035435909