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Description
This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.
Table of Contents
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).
