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Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory

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Cover of 'Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory'

Table of Contents

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    Book Overview
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    Chapter 1 New Directions in the Mathematics of Infectious Disease
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    Chapter 2 Fred Brauer: The Man and His Mathematics
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    Chapter 3 Kenneth L. Cooke: Researcher, Educator Par Excellence
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    Chapter 4 Maximal Prevalence and the Basic Reproduction Number in Simple Epidemics
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    Chapter 5 The Transition Through Stages with Arbitrary Length Distributions, and Applications in Epidemics
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    Chapter 6 Measles Outbreaks are not Chaotic
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    Chapter 7 Epidemics Among a Population of Households
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    Chapter 8 Infection Transmission Dynamics and Vaccination Program Effectiveness as a Function of Vaccine Effects in Individuals
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    Chapter 9 The Influence of Different Forms of Cross-Protective Immunity on the Population Dynamics of Antigenically Diverse Pathogens
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    Chapter 10 Dynamics of Multiple Strains of Infectious Agents Coupled by Cross-Immunity: A Comparison of Models
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    Chapter 11 Virulence Evolution in Macro-Parasites
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    Chapter 12 Mathematical Models for Schistosomiasis with Delays and Multiple Definitive Hosts
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    Chapter 13 Infectious Disease Models with Chronological Age Structure and Epidemiological Age Structure
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    Chapter 14 Effects of Genetic Heterogeneity on HIV Transmission in Homosexual Populations
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    Chapter 15 Age-Structured Core Group Model and its Impact on STD Dynamics
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    Chapter 16 Global Dynamics of Tuberculosis Models with Density Dependent Demography
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    Chapter 17 Global Stability in Some Seir Epidemic Models
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    Chapter 18 The Global Stability Analysis for an SIS Model with Age and Infection Age Structures
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    Chapter 19 Endemic Threshold and Stability in an Evolutionary Epidemic Model
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Citations

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Title
Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4613-0065-6
ISBNs
978-1-4612-6550-4, 978-1-4613-0065-6
Editors

Castillo-Chavez, Carlos, Blower, Sally, Driessche, Pauline, Kirschner, Denise, Yakubu, Abdul-Aziz

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Canada 1 2%
United Kingdom 1 2%
Spain 1 2%
Cameroon 1 2%
Unknown 40 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Master 7 15%
Professor > Associate Professor 6 13%
Researcher 6 13%
Student > Bachelor 3 7%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Mathematics 10 22%
Engineering 8 17%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 6 13%
Energy 1 2%
Other 3 7%
Unknown 11 24%