Search Results for author: Francesco Di Lauro

Found 5 papers, 1 papers with code

Probabilistic predictions of SIS epidemics on networks based on population-level observations

no code implementations9 Nov 2021 Tanja Zerenner, Francesco Di Lauro, Masoumeh Dashti, Luc Berthouze, Istvan Z. Kiss

To exploit this in a prediction framework, the exact high-dimensional stochastic model of an SIS epidemic on a network is approximated by a lower-dimensional surrogate model.

Prediction Intervals

Estimating the State of Epidemics Spreading with Graph Neural Networks

no code implementations10 May 2021 Abhishek Tomy, Matteo Razzanelli, Francesco Di Lauro, Daniela Rus, Cosimo Della Santina

When an epidemic spreads into a population, it is often unpractical or impossible to have a continuous monitoring of all subjects involved.

Beyond COVID-19: Network science and sustainable exit strategies

no code implementations27 Sep 2020 James Bell, Ginestra Bianconi, David Butler, Jon Crowcroft, Paul C. W Davies, Chris Hicks, Hyunju Kim, Istvan Z. Kiss, Francesco Di Lauro, Carsten Maple, Ayan Paul, Mikhail Prokopenko, Philip Tee, Sara I. Walker

On May $28^{th}$ and $29^{th}$, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc.

Physics and Society

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