Statistics for Biology and Health

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

A Modern Statistical Perspective

Authors: Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P.

  • 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
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  • ISBN 978-1-4899-8796-9
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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.

 

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.

 

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.

Table of contents (16 chapters)

  • Why This Book? An Introduction

    Hens, Niel (et al.)

    Pages 3-7

  • A Priori and A Posteriori Models for Infectious Diseases

    Hens, Niel (et al.)

    Pages 11-23

  • The SIR Model

    Hens, Niel (et al.)

    Pages 25-58

  • Data Sources for Modeling Infectious Diseases

    Hens, Niel (et al.)

    Pages 61-76

  • Estimating the Force of Infection from Incidence and Prevalence

    Hens, Niel (et al.)

    Pages 79-88

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-4072-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4614-4071-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
valid through November 5, 2017
  • ISBN 978-1-4899-8796-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Book Subtitle
A Modern Statistical Perspective
Authors
Series Title
Statistics for Biology and Health
Series Volume
63
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-4072-7
DOI
10.1007/978-1-4614-4072-7
Hardcover ISBN
978-1-4614-4071-0
Softcover ISBN
978-1-4899-8796-9
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XVI, 300
Topics