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Predicting pandemics in a globally c...

Bellomo, N.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predicting pandemics in a globally connected world./ edited by Nicola Bellomo, Mark A. J. Chaplain.
其他題名:	Toward a multiscale, multidisciplinary framework through modeling and simulation
其他作者:	Bellomo, N.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	viii, 306 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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
標題:	Epidemics - Mathematical models. -
電子資源:	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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