An Introduction to Mathematical Epidemiology

1. Auflage 2015
ISBN: 978-1-4899-7611-6
Verlag: Springer US

Buch, Englisch, Band 61, 453 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 8218 g

Reihe: Texts in Applied Mathematics

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.

Zielgruppe

Graduate

Autoren/Hrsg.

Martcheva, Maia

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Mathematische Modellierung

Inhaltsverzeichnis

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.

Über Autor(innen)

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.