1st Edition

Handbook of Infectious Disease Data Analysis

    566 Pages 50 B/W Illustrations
    by Chapman & Hall

    566 Pages 50 B/W Illustrations
    by Chapman & Hall

    566 Pages 50 B/W Illustrations
    by Chapman & Hall

    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






     



     



     



     



     



     

    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

     

    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.





     

    "One of the editors of the book, Jacco Wallinga, is heading the group at the Dutch Institute of Public Health and the Environment that does all of the statistical analyses to feed their director with information. The latter has had a strong influence on the policy our government chose . . . The book is well produced . . . " ~Paul Eilers, ISCB News