Predicting pandemics in a globally connected world. Volume 1, Toward a multiscale, multidisciplinary framework through modeling and simulation / Nicola Bellomo, Mark A.J. Chaplain, editors.
Bellomo, N., editor.; Chaplain, M. A. J., editor.
2022
RA652
Available Online

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Title
Predicting pandemics in a globally connected world. Volume 1, Toward a multiscale, multidisciplinary framework through modeling and simulation / Nicola Bellomo, Mark A.J. Chaplain, editors.
ISBN
9783030965624 (electronic bk.)
3030965627 (electronic bk.)
9783030965617
3030965619
DOI
https://doi.org/10.1007/978-3-030-96562-4
Published
Cham : Birkhäuser, [2022]
Copyright
©2022
Language
English
Description
1 online resource (viii, 306 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-030-96562-4 doi
Call Number
RA652
Dewey Decimal Classification
614.401/5118
Summary
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.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Bellomo, N., editor.
Chaplain, M. A. J., editor.
Series
Modeling and simulation in science, engineering & technology.
Available in Other Form
Predicting pandemics in a globally connected world : Volume 1.
Linked Resources
Online Access
Record Appears in
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All Resources
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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