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Predicting Pandemics in a Globally Connected World, Volume 1

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Cover of 'Predicting Pandemics in a Globally Connected World, Volume 1'

Table of Contents

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    Book Overview
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    Chapter 1 Modelling, Simulations, and Social Impact of Evolutionary Virus Pandemics
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    Chapter 2 Understanding COVID-19 Epidemics: A Multi-Scale Modeling Approach
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    Chapter 3 Kinetic Modelling of Epidemic Dynamics: Social Contacts, Control with Uncertain Data, and Multiscale Spatial Dynamics
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    Chapter 4 The COVID-19 Pandemic Evolution in Hawai‘i and New Jersey: A Lesson on Infection Transmissibility and the Role of Human Behavior
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    Chapter 5 A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process
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    Chapter 6 Multiscale Aspects of Virus Dynamics
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    Chapter 7 Productivity in Times of Covid-19: An Agent-Based Model Approach
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    Chapter 8 Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community
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    Chapter 9 A 2D Kinetic Model for Crowd Dynamics with Disease Contagion
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    Chapter 10 Multiscale Derivation of a Time-Dependent SEIRD Reaction–Diffusion System for COVID-19
Attention for Chapter 9: A 2D Kinetic Model for Crowd Dynamics with Disease Contagion
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Citations

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Chapter title
A 2D Kinetic Model for Crowd Dynamics with Disease Contagion
Chapter number 9
Book title
Predicting Pandemics in a Globally Connected World, Volume 1
Published by
Birkhäuser, Cham, February 2022
DOI 10.1007/978-3-030-96562-4_9
Book ISBNs
978-3-03-096561-7, 978-3-03-096562-4
Authors

Kim, Daewa, Quaini, Annalisa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%

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