An Introduction to Mathematical Modeling of Infectious Diseases
1st Edition
Published on 8. February 2018
Book
Hardback
X, 156 pages
978-3-319-72121-7 (ISBN)
Description
This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations.
It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.
Reviews / Votes
"The purpose is to present the proper expertise and techniques for the study of infectious disease either via self-study or as a semester course. . This is an excellent resource for undergraduates, graduates, public health science students, or anyone interested in mathematical modeling. Although the examples mostly pertain to infectious diseases, the book could be applicable to various fields. I highly recommend this book, especially to the targeted audience." (Puja Sitwala, Doody's Book Reviews, April, 2018)"This book is a unique contribution to Springer's Mathematics of Planet Earth series, in which I have indulged myself for the past few weeks. It is suitable for upper undergraduate and beginning graduate students who are interested in mathematical modeling of epidemics." (Yilun Shang, zbMATH 1396.92003, 2018)
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Illustrations
50 s/w Abbildungen
X, 156 p. 50 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 15 mm
Weight
424 gr
ISBN-13
978-3-319-72121-7 (9783319721217)
DOI
10.1007/978-3-319-72122-4
Schweitzer Classification
Other editions
Additional editions
Book
06/2019
Springer
€53.49
Shipment within 10-15 days
E-Book
01/2018
Springer
€48.14
Available for download
Person
Michael Y. Li is a Professor of Mathematics at the University of Alberta, Canada. His research includes mathematical theory of differential equations and dynamical systems, mathematical modeling of immune systems, and mathematical modeling in public health sciences.
Content
Important Concepts.- Five Classic Examples.- Basic Tools.- Nonlinear Least Squares.- Special Topics.