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An Introduction to Mathematical Epidemiology

✍ Scribed by Maia Martcheva


Publisher
Springer US
Year
2015
Tongue
English
Leaves
462
Series
Texts in Applied Mathematics 61
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xiv
Introduction....Pages 1-8
Introduction to Epidemic Modeling....Pages 9-31
The SIR Model with Demography: General Properties of Planar Systems....Pages 33-66
Vector-Borne Diseases....Pages 67-89
Techniques for Computing (\mathcal{R}_{0}) ....Pages 91-121
Fitting Models to Data....Pages 123-148
Analysis of Complex ODE Epidemic Models: Global Stability....Pages 149-181
Multistrain Disease Dynamics....Pages 183-214
Control Strategies....Pages 215-248
Ecological Context of Epidemiology....Pages 249-279
Zoonotic Disease, Avian Influenza, and Nonautonomous Models....Pages 281-300
Age-Structured Epidemic Models....Pages 301-329
Class-Age Structured Epidemic Models....Pages 331-360
Immuno-Epidemiological Modeling....Pages 361-386
Spatial Heterogeneity in Epidemiological Models....Pages 387-414
Discrete Epidemic Models....Pages 415-440
Back Matter....Pages 441-453

✦ Subjects


Genetics and Population Dynamics; Microbiology; Infectious Diseases; Mathematical Modeling and Industrial Mathematics


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