Fr. 300.00

Handbook of Infectious Disease Data Analysis

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

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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



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List of contents

Introduction. Analysis of Outbreak Data. Analysis of Seroprevalence Data. Analysis of Surveillance Data. Additional Topics.

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.

Summary

There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.

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