Epidemic Threshold in Continuous-Time Evolving Networks


Current understanding of the critical outbreak condition on temporal networks relies on approximations (time scale separation, discretization) that may bias the results. We propose a theoretical framework to compute the epidemic threshold in continuous time through the infection propagator approach. We introduce the weak commutation condition allowing the interpretation of annealed networks, activity-driven networks, and time scale separation into one formalism. Our work provides a coherent connection between discrete and continuous time representations applicable to realistic scenarios.

In Physical Review Letters
Eugenio Valdano
Eugenio Valdano
Researcher (Chargé de recherche)

I study infectious disease epidemiology using data-rich mathematical models.