Modeling and Control of Infectious Diseases in the Host

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.

Autorentext
Dr. Esteban A. Hernandez-Vargas is a Professor at the Frankfurt Institute for Advanced Studies, Germany, and a research group leader and principal investigator at the Institute of Mathematics (UNAM, Mexico). He obtained his Ph.D. in Mathematics from the Hamilton Institute at the National University of Ireland. In July 2014, he founded the pioneering research group of Systems Medicine of Infectious Diseases at the Helmholtz Centre for Infection Research (HZI). He is a member of the Society of Mathematical Biology, the European Society of Virology, and the Mexican Research Council (CONACYT). Additionally, he is an Editorial Board member of Plos One, Journal of Franklin Institute, as well as a Research Topic Editor at Frontiers of Microbiology and Frontiers of Immunology.

Klappentext

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

Zusammenfassung
"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

Inhalt

Part 1. Theoretical Biology Principles1. Introduction2. Mathematical Modeling Principles3. Model Parameter Estimation

Part 2. Modeling Host Infectious Diseases4. Modeling Influenza Virus Infection5. Modeling Ebola Virus Infection6. Modeling HIV Infection7. HIV Evolution During Treatment

Part 3. Advanced Topics in Control Theory8. Optimal Therapy Scheduling9. Suboptimal Therapy Scheduling10. PK/PD-based Impulsive Control