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New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet
Giulia Bertaglia, Andrea Bondesan, Diletta Burini, Raluca Eftimie, Lorenzo Pareschi and Giuseppe Toscani Mathematical Models and Methods in Applied Sciences 34(11) 1995 (2024) https://doi.org/10.1142/S0218202524500301
Mathematical Models for the Large Spread of a Contact-Based Infection: A Statistical Mechanics Approach
Intransigent vs. volatile opinions in a kinetic epidemic model with imitation game dynamics
Rossella Della Marca, Nadia Loy and Marco Menale Mathematical Medicine and Biology: A Journal of the IMA 40(2) 111 (2023) https://doi.org/10.1093/imammb/dqac018
Modeling blood flow in networks of viscoelastic vessels with the 1-D augmented fluid–structure interaction system
Francesco Piccioli, Giulia Bertaglia, Alessandro Valiani and Valerio Caleffi Journal of Computational Physics 464 111364 (2022) https://doi.org/10.1016/j.jcp.2022.111364
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties
Giulia Bertaglia, Liu Liu, Lorenzo Pareschi and Xueyu Zhu Networks and Heterogeneous Media 17(3) 401 (2022) https://doi.org/10.3934/nhm.2022013
Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems
Alex Viguerie, Gabriel F. Barros, Malú Grave, Alessandro Reali and Alvaro L.G.A. Coutinho Computer Methods in Applied Mechanics and Engineering 391 114600 (2022) https://doi.org/10.1016/j.cma.2022.114600
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs
Predicting Pandemics in a Globally Connected World, Volume 1
Mohamed Zagour Modeling and Simulation in Science, Engineering and Technology, Predicting Pandemics in a Globally Connected World, Volume 1 285 (2022) https://doi.org/10.1007/978-3-030-96562-4_10
Predicting Pandemics in a Globally Connected World, Volume 1
Giacomo Albi, Giulia Bertaglia, Walter Boscheri, et al. Modeling and Simulation in Science, Engineering and Technology, Predicting Pandemics in a Globally Connected World, Volume 1 43 (2022) https://doi.org/10.1007/978-3-030-96562-4_3
Analytical Decomposition of Transition Flux to Cycle Durations via Integration of Transition Times
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread
Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi and Xueyu Zhu Mathematical Models and Methods in Applied Sciences 32(10) 1949 (2022) https://doi.org/10.1142/S0218202522500452
Delay differential equations for the spatially resolved simulation of epidemics with specific application to COVID‐19
Nicola Guglielmi, Elisa Iacomini and Alex Viguerie Mathematical Methods in the Applied Sciences 45(8) 4752 (2022) https://doi.org/10.1002/mma.8068
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty
Giulia Bertaglia, Walter Boscheri, Giacomo Dimarco and Lorenzo Pareschi Mathematical Biosciences and Engineering 18(5) 7028 (2021) https://doi.org/10.3934/mbe.2021350
Hyperbolic compartmental models for epidemic spread on networks with uncertain data: Application to the emergence of COVID-19 in Italy