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] |
---|
Links: |
---|
doi: |
10.1109/LCSYS.2022.3168260 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
XAR035435909 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | XAR035435909 | ||
003 | DE-627 | ||
005 | 20230429064028.0 | ||
007 | cr uuu---uuuuu | ||
008 | 220309s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1109/LCSYS.2022.3168260 |2 doi | |
035 | |a (DE-627)XAR035435909 | ||
035 | |a (arXiv)2203.04016 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 510 |q DE-84 | |
100 | 1 | |a Frieswijk, Kathinka |e verfasserin |4 aut | |
245 | 1 | 0 | |a A mean-field analysis of a network behavioural-epidemic model |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a 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. | ||
700 | 1 | |a Zino, Lorenzo |e verfasserin |4 aut | |
700 | 1 | |a Ye, Mengbin |e verfasserin |4 aut | |
700 | 1 | |a Rizzo, Alessandro |e verfasserin |4 aut | |
700 | 1 | |a Cao, Ming |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t arXiv.org |g (2022) vom: 08. März |
773 | 1 | 8 | |g year:2022 |g day:08 |g month:03 |
856 | 4 | 0 | |u http://dx.doi.org/10.1109/LCSYS.2022.3168260 |z lizenzpflichtig |3 Volltext |
856 | 4 | 0 | |u https://arxiv.org/abs/2203.04016 |z kostenfrei |3 Volltext |
912 | |a GBV_XAR | ||
912 | |a SSG-OLC-PHA | ||
951 | |a AR | ||
952 | |j 2022 |b 08 |c 03 | ||
953 | |2 045F |a 510 |