7 citations · 7 across the 1 of their papers we have counts for
5 papers
Beyond COVID-19: Network science and sustainable exit strategies
James Bell, Ginestra Bianconi, David Butler +11
On May and , a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists wi…
Covid-19 and Flattening the Curve: a Feedback Control Perspective
Francesco Di Lauro, István Z. Kiss, Daniela Rus +1
Many of the control policies that were put into place during the Covid-19 pandemic had a common goal: to flatten the curve of the number of infected people so that its peak remains…
The impact of network properties and mixing on control measures and disease-induced herd immunity in epidemic models: a mean-field model perspective
Francesco Di Lauro, Luc Berthouze, Matthew D. Dorey +2
The contact structure of a population plays an important role in transmission of infection. Many ``structured models'' capture aspects of the contact structure through an underlyin…
PDE-limits of stochastic SIS epidemics on networks
Francesco Di Lauro, Jean-Charles Croix, Luc Berthouze +1
Stochastic epidemic models on networks are inherently high-dimensional and the resulting exact models are intractable numerically even for modest network sizes. Mean-field models p…
Network Inference from Population-Level Observation of Epidemics
F. Di Lauro, J. -C. Croix, M. Dashti +2
Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data i…