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Record Nr. |
UNINA9910300102603321 |
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Autore |
Bocharov Gennady |
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Titolo |
Mathematical Immunology of Virus Infections / / by Gennady Bocharov, Vitaly Volpert, Burkhard Ludewig, Andreas Meyerhans |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XV, 245 p.) |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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