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Francesco Di Lauro
Francesco Di Lauro
Postdoctoral Researcher, Big Data Institute, Nuffield Department of Medicine, University of Oxford
Verified email at ndm.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Optimal timing of one-shot interventions for epidemic control
FD Lauro, IZ Kiss, JC Miller
PLoS Computational Biology 17 (3), 1-24, 2021
802021
Covid-19 and flattening the curve: A feedback control perspective
F Di Lauro, IZ Kiss, D Rus, C Della Santina
IEEE Control Systems Letters 5 (4), 1435-1440, 2020
362020
Estimating the state of epidemics spreading with graph neural networks
A Tomy, M Razzanelli, F Di Lauro, D Rus, C Della Santina
Nonlinear Dynamics 109 (1), 249-263, 2022
222022
The impact of contact structure and mixing on control measures and disease-induced herd immunity in epidemic models: A mean-field model perspective
F Di Lauro, L Berthouze, MD Dorey, JC Miller, IZ Kiss
Bulletin of Mathematical Biology 83, 1-25, 2021
202021
Beyond COVID-19: network science and sustainable exit strategies
J Bell, G Bianconi, D Butler, J Crowcroft, PCW Davies, C Hicks, H Kim, ...
Journal of Physics: Complexity 2 (2), 021001, 2021
192021
Network inference from population-level observation of epidemics
F Di Lauro, JC Croix, M Dashti, L Berthouze, IZ Kiss
Scientific Reports 10 (1), 18779, 2020
192020
Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions
J Panovska-Griffiths, B Swallow, R Hinch, J Cohen, K Rosenfeld, ...
Philosophical Transactions of the Royal Society A 380 (2233), 20210315, 2022
162022
Dynamic survival analysis for non-Markovian epidemic models
F Di Lauro, WR KhudaBukhsh, IZ Kiss, E Kenah, M Jensen, GA Rempała
Journal of The Royal Society Interface 19 (191), 20220124, 2022
112022
Estimating SARS-CoV-2 variant fitness and the impact of interventions in England using statistical and geo-spatial agent-based models
R Hinch, J Panovska-Griffiths, WJM Probert, L Ferretti, C Wymant, ...
Philosophical Transactions of the Royal Society A 380 (2233), 20210304, 2022
82022
Enhancing global preparedness during an ongoing pandemic from partial and noisy data
PP Klamser, V d’Andrea, F Di Lauro, A Zachariae, S Bontorin, A Di Nardo, ...
PNAS nexus 2 (6), pgad192, 2023
72023
Digital measurement of SARS-CoV-2 transmission risk from 7 million contacts
L Ferretti, C Wymant, J Petrie, D Tsallis, M Kendall, A Ledda, F Di Lauro, ...
Nature 626 (7997), 145-150, 2024
62024
PDE limits of stochastic SIS epidemics on networks
F Di Lauro, JC Croix, L Berthouze, IZ Kiss
Journal of Complex Networks 8 (4), cnaa043, 2020
42020
Probabilistic predictions of SIS epidemics on networks based on population-level observations
T Zerenner, F Di Lauro, M Dashti, L Berthouze, IZ Kiss
Mathematical Biosciences 350, 108854, 2022
22022
Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates
A Blenkinsop, L Sofocleous, F di Lauro, EG Kostaki, A van Sighem, ...
arXiv preprint arXiv:2304.06353, 2023
2023
Enhancing global preparedness during an ongoing pandemic from partial and noisy data (preprint)
PP Klamser, V d'Andrea, F Di Lauro, A Zachariae, S Bontorin, A di Nardo, ...
2022
Dynamic Survival Analysis for non-Markovian Epidemic Models (preprint)
F Di Lauro, WR KhudaBukhsh, IZ Kiss, E Kenah, M Jensen, GA Rempala
2022
Mean-field Models in Network Inference and Epidemic Control
F Di Lauro
University of Sussex, 2021
2021
Estimating the State of Epidemics Spreading with Graph Neural Networks (preprint)
A Tomy, M Razzanelli, F Di Lauro, D Rus, C Della Santina
2021
The timing of one-shot interventions for epidemic control (preprint)
F Di Lauro, IZ Kiss, J Miller
2020
Beyond COVID-19: Network science and sustainable exit strategies (preprint)
J Bell, G Bianconi, D Butler, J Crowcroft, PCW Davies, C Hicks, H Kim, ...
2020
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