Handbook of Infectious Disease Data Analysis 1st Edition by Leonhard Held,Niel Hens,Philip O’Neill,Jacco Wallinga ISBN 1138626716 978-1138626713

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Product details:

ISBN 10: 1138626716

ISBN 13: 978-1138626713 

Author: Leonhard Held, Niel Hens, Philip O’Neill, Jacco Wallinga

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

II Basic Concepts
2. Population dynamics of pathogens
3. Infectious disease data from surveillance, outbreak investigation and epidemiological studies
4. Key concepts in infectious disease epidemiology
5. Key parameters in infectious disease epidemiology
6. Contact patterns for contagious diseases
7. Basic stochastic transmission models and their inference
8. Analysis of vaccine studies and causal inference

III Analysis of Outbreak Data
9. Markov chain Monte Carlo methods for outbreak data
10. Approximate Bayesian Computation methods for epidemic models
11. Iterated filtering methods for Markov process epidemic models
12. Pairwise survival analysis of infectious disease transmission data
13. Methods for outbreaks using genomic data

IV Analysis of Seroprevalence Data
14. Persistence of passive immunity, natural immunity (and vaccination)
15. Inferring the time of infection from serological data
16. The use of seroprevalence data to estimate cumulative incidence of infection
17. The analysis of serological data with transmission models
18. The analysis of multivariate serological data
19. Mixture modelling

V Analysis of Surveillance Data
20. Modeling infectious diseases distributions: applications of point process methods
21. Prospective detection of outbreaks
22. Underreporting and reporting delays
23. Spatio-temporal analysis of surveillance data
24. Analysing multiple epidemic data sources
25. Forecasting based on surveillance data
26. Spatial mapping of infectious disease risk

 

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