In this paper, we explore the probability of a full-fledged epidemic in stochastic compartmental models, focusing on the Reed-Frost model. Using Monte Carlo simulations, we estimate such a probability in various scenarios. Drawing on historical examples from science, we demonstrate that our findings apply to innovation diffusion, suggesting that multiple independent introductions may be necessary for an innovation to succeed.
Innovations and Their Diffusion: An Application of the Reed-Frost Model / Rapallo, Fabio; Scalas, Enrico. - (2025), pp. 26-32. (Intervento presentato al convegno SIS-2025: Statistics for innovation tenutosi a Genova) [10.1007/s13253-024-00663-5].
Innovations and Their Diffusion: An Application of the Reed-Frost Model
Enrico ScalasMembro del Collaboration Group
2025
Abstract
In this paper, we explore the probability of a full-fledged epidemic in stochastic compartmental models, focusing on the Reed-Frost model. Using Monte Carlo simulations, we estimate such a probability in various scenarios. Drawing on historical examples from science, we demonstrate that our findings apply to innovation diffusion, suggesting that multiple independent introductions may be necessary for an innovation to succeed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
