Authors:
- Demonstrates the application of modern statistical methods and models to estimate infectious disease parameters
- Provides the reader with software guidance and data
- Uses valuable case studies
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH, volume 63)
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Table of contents (16 chapters)
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Front Matter
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Introducing the Concept of the Book
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Front Matter
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Mathematical Models for Infectious Diseases: An Introduction
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Front Matter
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Data Sources
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Front Matter
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Estimating the Force of Infection
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Front Matter
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Estimating Mixing Patterns and the Basic Reproduction Number
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Front Matter
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About this book
Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force of infection. The force of infection reflects the degree of contact with potential for transmission between infected and susceptible individuals. The mathematical relation between the force of infection and effective contact patterns is generally assumed to be subjected to the mass action principle, which yields the necessary information to estimate the basic reproduction number, another key parameter in infectious disease epidemiology.
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It is within this context that the Center for Statistics (CenStat, I-Biostat, Hasselt University) and the Centre for the Evaluation of Vaccination and the Centre for Health Economic Research and Modelling Infectious Diseases (CEV, CHERMID, Vaccine and Infectious Disease Institute, University of Antwerp) have collaborated over the past 15 years. This book demonstrates the past and current research activities of these institutes and can be considered to be a milestone in this collaboration.
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This book is focused on the application of modern statistical methods and models to estimate infectious disease parameters. We want to provide the readers with software guidance, such as R packages, and with data, as far as they can be made publicly available.
Authors and Affiliations
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Center for Statistics, Hasselt University, Diepenbeek, Belgium
Niel Hens, Ziv Shkedy, Christel Faes
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Centrum voor Statistiek, Dept. Wiskunde, Natuurkunde, Informatica, Universiteit Hasselt, Diepenbeek, Belgium
Marc Aerts
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Centre for the Evaluation of Vaccination, Epidemiology & Social Medicine, University of Antwerp, Antwerpen, Belgium
Pierre Van Damme, Philippe Beutels
Bibliographic Information
Book Title: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Book Subtitle: A Modern Statistical Perspective
Authors: Niel Hens, Ziv Shkedy, Marc Aerts, Christel Faes, Pierre Van Damme, Philippe Beutels
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4614-4072-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-4071-0Published: 01 September 2012
Softcover ISBN: 978-1-4899-8796-9Published: 15 October 2014
eBook ISBN: 978-1-4614-4072-7Published: 24 October 2012
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XVI, 300
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistics, general, Statistical Theory and Methods