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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.
Modelling, Simulations, and Social Impact of Evolutionary Virus Pandemics
Nicola Bellomo, Diletta Burini, Mark A. J. Chaplain, and Nisrine Outada
Understanding COVID-19 Epidemics: A Multi-Scale Modeling Approach
Kinetic Modelling of Epidemic Dynamics: Social Contacts, Control with Uncertain Data, and Multiscale Spatial Dynamics
The COVID-19 Pandemic Evolution in Hawai‘i and New Jersey: A Lesson on Infection Transmissibility and the Role of Human
A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process
Multiscale Aspects of Virus Dynamics
Productivity in Times of Covid-19: An Agent-Based Model Approach
Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community
A 2D Kinetic Model for Crowd Dynamics with Disease Contagion
Multiscale Derivation of a Time-Dependent SEIRD Reaction–Diffusion System for COVID-19