activity
20142026
most citedAnalytical computation of the epidemic threshold on temporal networks

182 citations · 490 across the 13 of their papers we have counts for

collaborators

14 papers

physics.soc-ph2026

Synthetic populations for epidemic, demographic and mobility modeling

Davide Torre, Miguel Artigues, Benjamin Faucher +7

Synthetic populations are essential for individual-based simulations, such as agent-based models, enabling the evaluation of policy interventions for epidemic control, demographic…

q-bio.PE2024

Limited data on infectious disease distribution exposes ambiguity in epidemic modeling choices

Laura Di Domenico, Eugenio Valdano, Vittoria Colizza

Traditional disease transmission models assume that the infectious period is exponentially distributed with a recovery rate fixed in time and across individuals. This assumption pr…

physics.soc-ph2023★ 20 cited

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…

physics.soc-ph2021

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…

physics.soc-ph2019★ 1 cited

Evaluating the impact of PrEP on HIV and gonorrhea on a networked population of female sex workers

Alba Bernini, Elodie Blouzard, Alberto Bracci +6

Sexual contacts are the main spreading route of HIV. This puts sex workers at higher risk of infection even in populations where HIV prevalence is moderate or low. Alongside condom…

physics.soc-ph2018★ 2 cited

Exact rank-reduction of network models

Eugenio Valdano, Alex Arenas

With the advent of the big data era, generative models of complex networks are becoming elusive from direct computational simulation. We present an exact, linear-algebraic reductio…