Analysis and Monte Carlo simulations of a model for the spread of infectious diseases in heterogeneous metapopulations.
We present a study of the continuous-time equations governing the dynamics of a susceptible-infected-susceptible model on heterogeneous metapopulations. These equations have been recently proposed as an alternative formulation for the spread of infectious diseases in metapopulations in a continuous-time framework. Individual-based Monte Carlo simulations of epidemic spread in uncorrelated networks are also performed revealing a good agreement with analytical predictions under the assumption of simultaneous transmission or recovery and migration processes.
Juher
David
D
Departament d'Informàtica i Matemàtica Aplicada, Universitat de Girona, 17071 Girona, Spain. juher@ima.udg.edu
Ripoll
Jordi
J
Saldaña
Joan
J
D003141:Communicable Diseases / Q000453:epidemiology / Q000635:transmission*; D004058:Diffusion; D004196:Disease Outbreaks; D019353:Endemic Diseases; D008954:Models, Biological; D009010:Monte Carlo Method