Mathematical Immunology of Virus Infections

• Main Authors: Bocharov, Gennady (Author, http://id.loc.gov/vocabulary/relators/aut), Volpert, Vitaly (http://id.loc.gov/vocabulary/relators/aut), Ludewig, Burkhard (http://id.loc.gov/vocabulary/relators/aut), Meyerhans, Andreas (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Biomathematics.; Immunology.; Biomedical engineering.; Statistics .; Neural networks (Computer science) .; Physiological, Cellular and Medical Topics.; Biomedical Engineering/Biotechnology.; Statistics for Life Sciences, Medicine, Health Sciences.; Mathematical Models of Cognitive Processes and Neural Networks.

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 experi...

Table of Contents:

• 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.