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Handbook of Infectious Disease Data Analysis




ISBN 9781138626713
Published October 25, 2019 by Chapman and Hall/CRC
554 Pages - 50 B/W Illustrations

 
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Book Description

Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The Handbook of Infectious Disease Data Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated ability to address key scientific and epidemiological questions. A unique feature of the Handbook is the wide range of topics covered.

Key features

  • Contributors include many leading researchers in the field
  • Divided into four main sections: Basic concepts, Analysis of Outbreak Data, Analysis of Seroprevalence Data, Analysis of Surveillance Data
  • Numerous case studies and examples throughout
  • Provides both introductory material and key reference material

 

 

 

 

 

 

Table of Contents

I Introduction

1. Introduction
    Leonhard Held, Niel Hens, Philip O’Neill, Jacco Wallinga


II Basic Concepts

2. Population dynamics of pathogens
    Ottar Bjornstad

3. Infectious disease data from surveillance, outbreak investigation and epidemiological studies
    Susan Hahné, Richard Pebody

4. Key concepts in infectious disease epidemiology
    Nick Jewell

5. Key parameters in infectious disease epidemiology
    Laura White

6. Contact patterns for contagious diseases
    Jacco Wallinga, Jan van de Kassteele, Niel Hens

7. Basic stochastic transmission models and their inference
    Tom Britton

8. Analysis of vaccine studies and causal inference
    Betz Halloran


III Analysis of Outbreak Data

9. Markov chain Monte Carlo methods for outbreak data
    Philip O’Neill, Theodore Kypraios

10. Approximate Bayesian Computation methods for epidemic models
    Peter Neal

11. Iterated filtering methods for Markov process epidemic models
    Theresa Stocks

12. Pairwise survival analysis of infectious disease transmission data
    Eben Kenah

13. Methods for outbreaks using genomic data
    Don Klinkenberg, Caroline Colijn, Xavier Didelot


IV Analysis of Seroprevalence Data

14. Persistence of passive immunity, natural immunity (and vaccination)
    Amy Winter, Jess Metcalf

15. Inferring the time of infection from serological data
    Maciej Boni, Kåre Mølbak, Karen Angeliki Krogfelt

16. The use of seroprevalence data to estimate cumulative incidence of infection
    Ben Cowling, Jessica Wong

17. The analysis of serological data with transmission models
    Marc Baguelin

18. The analysis of multivariate serological data
    Steven Abrams

19. Mixture modelling
    Emanuele Del Fava, Ziv Shkedy


V Analysis of Surveillance Data

20. Modeling infectious diseases distributions: applications of point process methods
    Peter J Diggle

21. Prospective detection of outbreaks
    Benjamin Allevius, Michael Höhle

22. Underreporting and reporting delays
    Angela Noufaily

23. Spatio-temporal analysis of surveillance data
    Jon Wakefield, Tracy Q Dong, Vladimir N Minin

24. Analysing multiple epidemic data sources
    Daniela De Angelis, Anne Presanis

25. Forecasting based on surveillance data
    Leonhard Held, Sebastian Meyer

26. Spatial mapping of infectious disease risk
    Ewan Cameron

 

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Editor(s)

Biography

Leonhard Held is Professor of Biostatistics at the University of Zurich.

Niel Hens is Professor of Biostatistics at Hasselt University and the University of Antwerp.

Philip O’Neill is Professor of Applied Probability at the University of Nottingham.

Jacco Wallinga is Professor of Mathematical Modelling of Infectious Diseases at the Leiden University Medical Center.