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An introduction to mathematical epid...
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Martcheva, Maia.
An introduction to mathematical epidemiology
Record Type:
Electronic resources : Monograph/item
Title/Author:
An introduction to mathematical epidemiologyby Maia Martcheva.
Author:
Martcheva, Maia.
Published:
Boston, MA :Springer US :2015.
Description:
xiv, 453 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
EpidemiologyMathematical models.
Online resource:
http://dx.doi.org/10.1007/978-1-4899-7612-3
ISBN:
9781489976123$q(electronic bk.)
An introduction to mathematical epidemiology
Martcheva, Maia.
An introduction to mathematical epidemiology
[electronic resource] /by Maia Martcheva. - Boston, MA :Springer US :2015. - xiv, 453 p. :ill., digital ;24 cm. - Texts in applied mathematics,v.610939-2475 ;. - Texts in applied mathematics ;40..
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.
ISBN: 9781489976123$q(electronic bk.)
Standard No.: 10.1007/978-1-4899-7612-3doiSubjects--Topical Terms:
183833
Epidemiology
--Mathematical models.
LC Class. No.: RA652.2.M3 / M37 2015
Dewey Class. No.: 576.58
An introduction to mathematical epidemiology
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ill., digital ;
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24 cm.
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Texts in applied mathematics,
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0939-2475 ;
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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.
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Mathematics and Statistics (Springer-11649)
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EB RA652.2.M3 M375 2015
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http://dx.doi.org/10.1007/978-1-4899-7612-3
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