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
About the Author :
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.
