Mathematical Immunology of Virus Infections [Hardcover]

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. Principles of virus-host interaction.- Basic principles of building a mathematical model of immune response.- Parameter estimation and model selection.- Modelling of experimental infections.- Modelling of human infections.- Spatial modelling using reaction-diffusion systems.- Multi-scale and integrative modelling approaches.- Current challenges.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)Introduces the reader to the field of mathematical immunology