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© 2018

Mathematical Immunology of Virus Infections

Benefits

  • Introduces the reader to the field of mathematical immunology

  • Covers the modeling of experimental and human infections

  • Addresses both researchers and graduate students in the field of mathematical biology

Book

Table of contents

  1. Front Matter
    Pages i-xv
  2. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 1-14
  3. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 15-34
  4. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 35-95
  5. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 97-152
  6. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 153-194
  7. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 195-219
  8. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 221-242
  9. Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
    Pages 243-245

About this book

Introduction

This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology. 

Keywords

Infection immunology Modeling of experimental infections Modeling of human infections Data-driven parameter estimation Control of infection deseases

Authors and affiliations

  1. 1.Marchuk Institute of Numerical MathematicsRussian Academy of SciencesMoscowRussia
  2. 2.Institut Camille Jordan, UMR 5208 CNRSCentre National de la Recherche Scientifique (CNRS)VilleurbanneFrance
  3. 3.Institute of ImmunobiologyKantonsspital St. GallenSt. GallenSwitzerland
  4. 4.Parc de Recerca Biomedica BarcelonaICREA and Universitat Pompeu FabraBarcelonaSpain

Bibliographic information

Reviews

“This book on the whole provides a nice guide for applied mathematicians who are interested in understanding immunology of virus infections and also for biologists who are seeking rigorous modeling methods for issues raised in immune systems.” (Yilun Shang, zbMATH 1401.92002, 2019)