This monograph concisely but thoroughly introduces the reader to mathematical immunology. The book covers the basic principles of formulating a mathematical model and an outline of 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 to mathematical immunology.
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Discover the concise yet comprehensive introduction to mathematical immunology, perfect for researchers and graduate students in mathematical biology.
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