Optimal timing of one-shot interventions for epidemic control FD Lauro, IZ Kiss, JC Miller PLoS Computational Biology 17 (3), 1-24, 2021 | 82 | 2021 |
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 | 38 | 2020 |
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 | 23 | 2022 |
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 | 20 | 2021 |
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 | 19 | 2021 |
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 | 19 | 2020 |
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 | 16 | 2022 |
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 | 11 | 2022 |
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 | 10 | 2024 |
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 | 8 | 2022 |
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 | 7 | 2023 |
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 | 4 | 2020 |
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 | 2 | 2022 |
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 |
PDE limits of stochastic SIS epidemics on networks F Di Lauro, JC Croix, L Berthouze, I Kiss University of Sussex, 2020 | | 2020 |
The timing of one-shot interventions for epidemic control (preprint) F Di Lauro, IZ Kiss, J Miller | | 2020 |