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.
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)
Authors and Affiliations
Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Gennady Bocharov
Institut Camille Jordan, UMR 5208 CNRS, Centre National de la Recherche Scientifique (CNRS), Villeurbanne, France
Vitaly Volpert
Institute of Immunobiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
Burkhard Ludewig
Parc de Recerca Biomedica Barcelona, ICREA and Universitat Pompeu Fabra, Barcelona, Spain
Andreas Meyerhans
Bibliographic Information
Book Title: Mathematical Immunology of Virus Infections
Authors: Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans
