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Intransigent vs. volatile opinions in a kinetic epidemic model with imitation game dynamics.
Della Marca, Rossella; Loy, Nadia; Menale, Marco.
Afiliación
  • Della Marca R; Mathematics Area, SISSA - International School for Advanced Studies, via Bonomea 265, I-34136 Trieste, Italy.
  • Loy N; Department of Mathematical, Physical and Computer Sciences, University of Parma, Parco Area delle Scienze 53/A, 43124 Parma, Italy.
  • Menale M; Department of Mathematics and Physics, University of Campania 'L. Vanvitelli', viale Lincoln 5, 81100 Caserta, Italy.
Math Med Biol ; 40(2): 111-140, 2023 06 14.
Article en En | MEDLINE | ID: mdl-36482506
In the mathematical epidemiology community, there is an increasing interest in shaping the complex interplay between human behaviour and disease spreading. We give a contribution in this direction by illustrating a method to derive behavioural change epidemic models from a stochastic particle description by the means of kinetic equations. We consider a susceptible-infected-removed-like model where contact rates depend on the behavioural patterns adopted across the population. The selection of the social behaviour happens during the interactions between individuals adopting alternative strategies and it is driven by an imitation game dynamics. Agents have a double microscopic state: a discrete label, which denotes the epidemiological compartment to which they belong, and the degree of flexibility of opinion, i.e. a measure of the personal attitude to change opinion and, hence, to switch between the alternative social contact patterns. We derive kinetic evolution equations for the distribution functions of the degree of flexibility of opinion of the individuals for each compartment, whence we obtain macroscopic equations for the densities and average flexibilities of opinion. After providing the basic properties of the macroscopic model, we numerically investigate it by focusing on the impact of the flexibility of opinion on the epidemic course and on the consequent behavioural responses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epidemias / Conducta Imitativa Límite: Humans Idioma: En Revista: Math Med Biol Asunto de la revista: BIOLOGIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Epidemias / Conducta Imitativa Límite: Humans Idioma: En Revista: Math Med Biol Asunto de la revista: BIOLOGIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Reino Unido