Mathematical Immunology of Virus Infections

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. 

Sommario

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.

Riassunto

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. 

Testo aggiuntivo

“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)

Relazione

"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)

Dettagli sul prodotto

• Autori: Gennad Bocharov, Gennady Bocharov, Burkhar Ludewig, Burkhard Ludewig, Andreas Meyerhans, Vital Volpert, Vitaly Volpert
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2018
• EAN: 9783030101855
• ISBN: 978-3-0-3010185-5
• Pagine: 245
• Dimensioni: 155 mm x 14 mm x 235 mm
• Peso: 409 g
• Illustrazioni: XV, 245 p.
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Altro; B, Epidemiology & medical statistics, Immunology, Statistics, biotechnology, Mathematics and Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Probability & statistics, Statistics in Life Sciences, Medicine, Health Sciences, Biomedical engineering, Mathematical modelling, Biomedical Engineering/Biotechnology, Neural networks (Computer science), Biomathematics, Mathematical and Computational Biology, Physiological, Cellular and Medical Topics