An Introduction to Mathematical Epidemiology

Maia Martcheva

ISBN 10: 1489976116 / ISBN 13: 9781489976116

Published by Springer US, Springer US, 2015

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781489976116

Bibliographic Details

Title: An Introduction to Mathematical Epidemiology

Publisher: Springer US, Springer US

Publication Date: 2015

Binding: Buch

Condition: Neu

About this title

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.

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.