This is a timely book, which provides analytical tools for research of in-host disease dynamics and also disease control. It is addressed to professionals from both STEM and Life Sciences, since it has leverage sections in concepts such as immunology and virology, as well as others containing principles of mathematical modeling and parameter estimation. Importantly, those fundamentals are accompanied by code (in R or MATLAB), which allows the reader to follow the book in a hands-on fashion.
Organized in three parts, "Modeling and Control..." starts with fundamentals which leverage the readers according to their previous training. The second part provides several real-world examples of host infection modeling, including influenza and HIV. Finally, the third part deals with more advanced techniques of control theory, which can be used for therapy scheduling.
In summary, I recommend this book as either an introductory text on mathematical modeling of biological systems or as a reference for selected topics of host infection modeling and therapy scheduling; at either case, this book would prime the reader to follow the state-of-the-art literature in this field.