1.5k citations · 10.6k across the 42 of their papers we have counts for
21 papers · 1 filter
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…
Preserving system activity while controlling epidemic spreading in adaptive temporal networks
Marco Mancastroppa, Alessandro Vezzani, Vittoria Colizza +1
Human behaviour strongly influences the spread of infectious diseases: understanding the interplay between epidemic dynamics and adaptive behaviours is essential to improve respons…
Estimates of the reproduction ratio from epidemic surveillance may be biased in spatially structured populations
Piero Birello, Michele Re Fiorentin, Boxuan Wang +2
Accurate estimates of the reproduction ratio are crucial to project infectious disease epidemic evolution and guide public health response. Here, we prove that estimates of the rep…
The effect of delayed awareness and fatigue on the efficacy of self-isolation in epidemic control
Giulia de Meijere, Vittoria Colizza, Eugenio Valdano +1
The isolation of infectious individuals is a key measure of public health for the control of communicable diseases. However, involving a strong perturbation of daily life, it often…
Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza +1
We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By usin…
Epidemic Threshold in Continuous-Time Evolving Networks
Eugenio Valdano, Michele Re Fiorentin, Chiara Poletto +1
Current understanding of the critical outbreak condition on temporal networks relies on approximations (time scale separation, discretization) that may bias the results. We propose…