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Predicting pandemics in a globally connected world.Volume 1,Toward a multiscale, multidisciplinary framework through modeling and simulation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting pandemics in a globally connected world.edited by Nicola Bellomo, Mark A. J. Chaplain.
remainder title:	Toward a multiscale, multidisciplinary framework through modeling and simulation
other author:	Bellomo, N.
Published:	Cham :Springer International Publishing :2022.
Description:	viii, 306 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	EpidemicsMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-96562-4
ISBN:	9783030965624$q(electronic bk.)

Predicting pandemics in a globally connected world.Volume 1,Toward a multiscale, multidisciplinary framework through modeling and simulation
Predicting pandemics in a globally connected world.Volume 1,Toward a multiscale, multidisciplinary framework through modeling and simulation[electronic resource] /Toward a multiscale, multidisciplinary framework through modeling and simulationedited by Nicola Bellomo, Mark A. J. Chaplain. - Cham :Springer International Publishing :2022. - viii, 306 p. :ill. (chiefly color), digital ;24 cm. - Modeling and simulation in science, engineering and technology,2164-3725. - Modeling and simulation in science, engineering and technology..

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)

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.

ISBN: 9783030965624$q(electronic bk.)

Standard No.: 10.1007/978-3-030-96562-4doiSubjects--Topical Terms:

869350
Epidemics
--Mathematical models.

LC Class. No.: RA652 / .P74 2022

Dewey Class. No.: 614.4015118

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505 0 $a 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)
520 $a 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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