An Introduction to Mathematical Epidemiology
An Introduction to Mathematical Epidemiology
Springer | Mathematics | November 21, 2015 | ISBN-10: 1489976116 | 453 pages | pdf | 6.72 mb
Springer | Mathematics | November 21, 2015 | ISBN-10: 1489976116 | 453 pages | pdf | 6.72 mb
by Maia Martcheva (Author)
A comprehensive introduction to mathematical epidemiology accelerating from beginner to advanced research level
Provides detailed introduction to applied dynamical systems while linking to epidemiological concepts
Uses data to complement model development and analysis
Highly illustrated with exercises included at the end of each chapter
Includes code in MATLAB for simulations and fitting
From the Back Cover
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.
About the Author
Maia Martcheva is a Professor in the Department of Mathematics at the University of Florida, USA. Her areas of interest and research include: epidemic models of multi-strain interactions, spatial epidemic modeling, immunological modeling, and immune-epidemiological modeling.
Number of Illustrations and Tables
43 illus., 60 in colour
Topics
Genetics and Population Dynamics
Microbiology
Infectious Diseases
Mathematical Modeling and Industrial Mathematics
More info and Hardcover at Springer
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