Predicting Pandemics in a Globally Connected World, Volume 1

Predicting Pandemics in a Globally Connected World, Volume 1

Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation

Bellomo, Nicola; Chaplain, Mark A. J.

Springer Nature Switzerland AG

09/2022

306

Dura

Inglês

9783030965617

15 a 20 dias

621

Descrição não disponível.
Modeling, Simulations and Social Impact of Evolutionary Virus Pandemics (Bellomo).- Understanding COVID-19 epidemics: a multi-scale modeling approach (Knopoff).- Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics (Pareschi).- The COVID-19 pandemic evolution in Hawai and New Jersey: a lesson on infection transmissibility and the role of human behavior (Piccoli).- A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process (Bertozzi).- Multiscale aspects of virus dynamics (Flandoli).- Productivity in times of Covid-19: an agent-based model approach (Fontanari).- Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community (Gao).- A 2D kinetic model for crowd dynamics with disease contagion (Quaini).- Multiscale derivation of a time-dependent SEIRD reaction-diffusion system for COVID-19 (Zagour).
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Multiscale Modeling of Pandemics;Immune Dynamics COVID-19;Multiscale Modeling of Virus Dynamics;Control Problems in Virus Dynamics;Agent-Based Modeling COVID-19