Your browser doesn't support javascript.
loading
Clusters in an Epidemic Model with Long-Range Dispersal.
Cao, Xiangyu; Le Doussal, Pierre; Rosso, Alberto.
Afiliación
  • Cao X; Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France.
  • Le Doussal P; Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France.
  • Rosso A; Université Paris-Saclay, CNRS, LPTMS, 91405 Orsay, France.
Phys Rev Lett ; 129(10): 108301, 2022 Sep 02.
Article en En | MEDLINE | ID: mdl-36112459
ABSTRACT
In the presence of long-range dispersal, epidemics spread in spatially disconnected regions known as clusters. Here, we characterize exactly their statistical properties in a solvable model, in both the supercritical (outbreak) and critical regimes. We identify two diverging length scales, corresponding to the bulk and the outskirt of the epidemic. We reveal a nontrivial critical exponent that governs the cluster number and the distribution of their sizes and of the distances between them. We also discuss applications to depinning avalanches with long-range elasticity.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias Idioma: En Revista: Phys Rev Lett Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias Idioma: En Revista: Phys Rev Lett Año: 2022 Tipo del documento: Article País de afiliación: Francia