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Nicola Bellomo - Predicting Pandemics in a Globally Connected World, Volume 1: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation ... in Science, Engineering and Technology)

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Nicola Bellomo Predicting Pandemics in a Globally Connected World, Volume 1: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation ... in Science, Engineering and Technology)
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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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Book cover of Predicting Pandemics in a Globally Connected World Volume 1 - photo 1
Book cover of Predicting Pandemics in a Globally Connected World, Volume 1
Modeling and Simulation in Science, Engineering and Technology
Series Editors
Nicola Bellomo
Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy
Tayfun E. Tezduyar
Department of Mechanical Engineering, Rice University, Houston, TX, USA
Editorial Board
Kazuo Aoki
National Taiwan University, Taipei, Taiwan
Yuri Bazilevs
School of Engineering, Brown University, Providence, RI, USA
Mark Chaplain
School of Mathematics and Statistics, University of St. Andrews, St. Andrews, UK
Pierre Degond
Department of Mathematics, Imperial College London, London, UK
Andreas Deutsch
Center for Information Services and High-Performance Computing, Technische Universitt Dresden, Dresden, Sachsen, Germany
Livio Gibelli
Institute for Multiscale Thermofluids, University of Edinburgh, Edinburgh, UK
Miguel ngel Herrero
Departamento de Matemtica Aplicada, Universidad Complutense de Madrid, Madrid, Spain
Thomas J. R. Hughes
Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA
Petros Koumoutsakos
Computational Science and Engineering Laboratory, ETH Zrich, Zrich, Switzerland
Andrea Prosperetti
Cullen School of Engineering, University of Houston, Houston, TX, USA
K. R. Rajagopal
Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA
Kenji Takizawa
Department of Modern Mechanical Engineering, Waseda University, Tokyo, Japan
Youshan Tao
Department of Applied Mathematics, Donghua University, Shanghai, China
Harald van Brummelen
Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

The MSSET series publishes advanced textbooks, expository monographs, problem-solving guides, handbooks, and general references. Books focus on modeling and simulation in applied sciences, engineering, and technology. The goal is to create a bridge between applied mathematicians, scientists, and engineers utilizing modeling and simulation methods and tools for complex-problem solving. The general framework is that of applied and industrial mathematics, computational analysis, and computational engineering.

The series provides science and engineering readers with the essential (and practical) information on modeling and simulation methods and guidelines for formulating and solving complex problems.

Key Topics and Focus Areas:
  • Mathematical modeling and computational analysis in applied sciences, engineering, economics, applied physics, biology, chemistry, medicine, life sciences

  • Algorithms for scientific computations of practical utility and methods for recovering both qualitative and quantitative information

  • Dynamical systems models and methods

  • Computational methods in applied sciences and engineering

  • Modeling applications with ODEs and PDEs

  • Fluid mechanics, solid mechanics, and fluid-structure interaction

  • Multiscale methods and computational analysis

Readership

The series targets graduate students, researchers, and practicing scientists and engineers, working in all disciplines of applied sciences and engineering. It strives for an accessible presentation style that provides the necessary technical background to a diverse, interdisciplinary readership.

Indexing

All titles published in the series are indexed by Scopus. In the past 10 years, 18 titles from the series have been selected for indexing in Web of Science.

Series Editors

Nicola Bellomo, Politecnico di Torino and Collegio Carlo Alberto, Torino, ItalyTayfun E. Tezduyar, Department of Mechanical Engineering, Rice University, Houston, TX, USA and Waseda University, Tokyo, Japan

Editorial Advisory Board

Kazuo Aoki, National Taiwan University, Taipei, TaiwanYuri Bazilevs, Brown University, Providence, RI, USAMark Chaplain, St. Andrews University, St. Andrews, Scotland, UKPierre Degond, Imperial College of London, UKAndreas Deutsch, Technische Universitt Dresden, GermanyLivio Gibelli, University of Edinburgh, Scotland, UKMiguel Angel Herrero, Universidad Complutense de Madrid, SpainThomas J.R. Hughes, University of Texas at Austin, TX, USAPetros Koumoutsakos, ETH, Zrich, SwitzerlandAndrea Prosperetti, Cullen School of Engineering, University of Houston, TX, USAK.R. Rajagopal, Texas A&M University, College Station, TX, USAKenji Takizawa, Waseda University, Tokyo, JapanYoushan Tao, Dong Hua University, Shanghai, ChinaHarald van Brummelen, Eindhoven University of Technology, Eindhoven, The Netherlands

Editors
Nicola Bellomo and Mark A. J. Chaplain
Predicting Pandemics in a Globally Connected World, Volume 1
Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation
Logo of the publisher Editors Nicola Bellomo Department of Mathematical - photo 2
Logo of the publisher
Editors
Nicola Bellomo
Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy
Mark A. J. Chaplain
School of Mathematics and Statistics, University of St. Andrews, St. Andrews, UK
ISSN 2164-3679 e-ISSN 2164-3725
Modeling and Simulation in Science, Engineering and Technology
ISBN 978-3-030-96561-7 e-ISBN 978-3-030-96562-4
https://doi.org/10.1007/978-3-030-96562-4
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This book is published under the imprint Birkhuser, www.birkhauser-science.com by the registered company Springer Nature Switzerland AGThis book is published under the imprint Birkhuser, www.birkhauser-science.com by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

The onset of the SARSCoV2 virus, responsible for the initial

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