An Introduction to Mathematical Epidemiology [Paperback]

The book is a?comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model?building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.

Introduction.- Introduction to Epidemic Modeling.- The SIR Model with Demography: General Properties of Planar Systems.- Vector-Borne Diseases.- Techniques for Computing R0.- Fitting Models to Data.- Analysis of Complex ODE Epidemic Models: Global Stability.- Multi-strain Disease Dynamics.- Control Strategies.- Ecological Context of Epidemiology.- Zoonotic Disease, Avian Influenza and Non-autonomous Models.- Age-structured Epidemic Models.- Class-age Structured Epidemic Models.- Immuno-Epidemiological Modeling.- Spatial Heterogeneity in Epidemiological Models.- Discrete Epidemic Models.

The current book is an introductory text that starts at the level of the neophyte and gradually brings the student to the level of current research. & The target readers include advanced undergraduate and graduate students in mathematics as well as graduate students in other fields. & This is an appealing book, well-written and thoughtfully organized. (William J. Satzer, MAA reviews, maa.org, January, 2016)

This book does not limit itself by any means to be just an introductory level textbook, aiming actually to be a comprehensive, self-contained reference text for mathematical epidemiologists. & The presentation is example-based, well tl#•