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Mathematical Models in Epidemiology / by Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng.

Springer Nature - Springer Mathematics and Statistics eBooks 2019 English International Available online

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Format:
Book
Author/Creator:
Brauer, Fred, author.
Castillo-Chávez, Carlos, author.
Feng, Zhilan, 1959- author.
Contributor:
SpringerLink (Online service)
Series:
Mathematics and Statistics (Springer-11649)
Texts in applied mathematics 0939-2475 ; 69.
Texts in Applied Mathematics, 0939-2475 ; 69
Language:
English
Subjects (All):
Biomathematics.
Probabilities.
Mathematical models.
Physiological, Cellular and Medical Topics.
Probability Theory and Stochastic Processes.
Mathematical Modeling and Industrial Mathematics.
Local Subjects:
Physiological, Cellular and Medical Topics.
Probability Theory and Stochastic Processes.
Mathematical Modeling and Industrial Mathematics.
Physical Description:
1 online resource (XVII, 619 pages) : 121 illustrations, 67 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
New York, NY : Springer New York : Imprint: Springer, 2019.
System Details:
text file PDF
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. .
Contents:
Introduction; A prelude to mathematical epidemiology
Simple compartmental models for disease transmission
Endemic disease models
Epidemic models
Models with heterogeneous mixing
Models for diseases transmitted by vectors
models for tuberculosis
Models for HIV?AIDS
Models for influenza
Models for Ebola
Models for malaria
Dengue fever and the Zika virus
Disease transmission models withagedpendence
Spatial structure in disease transmission models
Epidemiological models incorporating mobility, behavior, and time scales
Challenges, opportunities, and theoretical epidemiology. .
Other Format:
Printed edition:
ISBN:
978-1-4939-9828-9
9781493998289
OCLC:
1122932366
Access Restriction:
Restricted for use by site license.

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