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Bellomo, N.

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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.
[NT 15003449]:	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)
Contained By:	Springer Nature eBook
Subject:	Epidemics - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-96562-4
ISBN:	9783030965624

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

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

3521727
Epidemics
--Mathematical models.

LC Class. No.: RA652 / .P74 2022

Dewey Class. No.: 614.4015118

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245 0 0 $a Predicting pandemics in a globally connected world. $n Volume 1, $p Toward a multiscale, multidisciplinary framework through modeling and simulation $h [electronic resource] / $c edited by Nicola Bellomo, Mark A. J. Chaplain.
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260 $a Cham : $b Springer International Publishing : $b Imprint: Birkhäuser, $c 2022.
300 $a viii, 306 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Modeling and simulation in science, engineering and technology, $x 2164-3725
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.
650 0 $a Epidemics $x Mathematical models. $3 3521727
650 0 $a Epidemiology $x Mathematical models. $3 660489
650 0 $a COVID-19 (Disease) $x Mathematical models. $3 3590810
650 1 4 $a Mathematical and Computational Biology. $3 1566274
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
700 1 $a Bellomo, N. $3 730289
700 1 $a Chaplain, M. A. J. $3 3606363
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856 4 0 $u https://doi.org/10.1007/978-3-030-96562-4
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