Bocharov G., Volpert V., Ludewig B., Meyerhans A. Mathematical Immunology of Virus Infections

Springer, 2018. — 256 p. — ISBN: 3319723162.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.
Modeling of Experimental Infections.
Modeling of Human Infections.
Spatial Modeling Using Reaction–Diffusion Systems.
Multi-scale and Integrative Modeling Approaches.
Current Challenges.