Mathematical models in epidemiology / Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng.
2019
RA652.2.M3
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Details
Title
Mathematical models in epidemiology / Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng.
Author
Brauer, Fred, author.
ISBN
9781493998289 (electronic book)
1493998285 (electronic book)
9781493998265
1493998269
1493998285 (electronic book)
9781493998265
1493998269
Published
New York, NY : Springer, 2019.
Language
English
Description
1 online resource (xvii, 619 pages) : illustrations.
Item Number
10.1007/978-1-4939-9828-9 doi
10.1007/978-1-4939-9
10.1007/978-1-4939-9
Call Number
RA652.2.M3
Dewey Decimal Classification
614.4015/118
Summary
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future. There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 14, 2019).
Series
Texts in applied mathematics ; 69.
Available in Other Form
Print version: 9781493998265
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