Modeling and Control of Infectious Diseases in the Host: With MATLAB and R provides a holistic understanding of health and disease by presenting topics on quantitative decision-making that influence the development of drugs. The book presents modeling advances in different viral infections, dissecting detailed contributions of key players, along with their respective interactions. By combining tailored in vivo experiments and mathematical modeling approaches, the book clarifies the relative contributions of different underlying mechanisms within hosts of the most lethal viral infections, including HIV, influenza and Ebola. Illustrative examples for parameter fitting, modeling and control applications are explained using MATLAB and R.
Provides a multi-scale framework to link within-host infection dynamics (individual level) to between-host transmission fitness (epidemiological level) in viral infectious diseases Includes PK/PD modeling and simulation approaches to improve efficiency and decision-making at preclinical development phases Presents a theoretic approach to schedule drug treatments
Provides a multi-scale framework to link within-host infection dynamics (individual level) to between-host transmission fitness (epidemiological level) in viral infectious diseases Includes PK/PD modeling and simulation approaches to improve efficiency and decision-making at preclinical development phases Presents a theoretic approach to schedule drug treatments
"Given the still very limited number of textbooks covering within-host modeling, this new volume is a welcome addition. It is written in a fairly technical style. Therefore,immunologists, virologists, and other bench scientists, who might have limited training in differential equations and coding, might not find this the most accessible way of learning the topic. However, for individuals with a strong quantitative background, this publication provides a nice introduction to the subject of within-host modeling. After working through the book, readers will have gained a solid introduction to the field and should be ready to proceed to the primary research literature and, if desired, can start to contribute to this area of research themselves." --The Quarterly Review of Biology