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Handbook of Infectious Disease Data Analysis
by
Held, Leonhard
, Hens, Niel
, O'Neill, Philip
, Wallinga, Jacco
in
biomarkers
/ BIOMEDICALSCIENCEnetBASE
/ BIOSCIENCEnetBASE
/ Biostatistics
/ Communicable disease
/ Communicable diseases
/ Communicable diseases -- Statistics
/ contagious disease
/ data analysis
/ Epidemic model
/ epidemiological
/ Epidemiology
/ genome sequences
/ health
/ infection
/ infectious
/ infectious disease
/ infectious disease epidemiology
/ Mathematical epidemiology
/ MEDICINEnetBASE
/ outbreak data
/ pathogens
/ Public health surveillance
/ SCI-TECHnetBASE
/ Serological data
/ seroprevalence data
/ social contacts
/ Statistical Theory & Methods
/ STATSnetBASE
/ STMnetBASE
/ surveillance data
2020
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Handbook of Infectious Disease Data Analysis
by
Held, Leonhard
, Hens, Niel
, O'Neill, Philip
, Wallinga, Jacco
in
biomarkers
/ BIOMEDICALSCIENCEnetBASE
/ BIOSCIENCEnetBASE
/ Biostatistics
/ Communicable disease
/ Communicable diseases
/ Communicable diseases -- Statistics
/ contagious disease
/ data analysis
/ Epidemic model
/ epidemiological
/ Epidemiology
/ genome sequences
/ health
/ infection
/ infectious
/ infectious disease
/ infectious disease epidemiology
/ Mathematical epidemiology
/ MEDICINEnetBASE
/ outbreak data
/ pathogens
/ Public health surveillance
/ SCI-TECHnetBASE
/ Serological data
/ seroprevalence data
/ social contacts
/ Statistical Theory & Methods
/ STATSnetBASE
/ STMnetBASE
/ surveillance data
2020
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Do you wish to request the book?
Handbook of Infectious Disease Data Analysis
by
Held, Leonhard
, Hens, Niel
, O'Neill, Philip
, Wallinga, Jacco
in
biomarkers
/ BIOMEDICALSCIENCEnetBASE
/ BIOSCIENCEnetBASE
/ Biostatistics
/ Communicable disease
/ Communicable diseases
/ Communicable diseases -- Statistics
/ contagious disease
/ data analysis
/ Epidemic model
/ epidemiological
/ Epidemiology
/ genome sequences
/ health
/ infection
/ infectious
/ infectious disease
/ infectious disease epidemiology
/ Mathematical epidemiology
/ MEDICINEnetBASE
/ outbreak data
/ pathogens
/ Public health surveillance
/ SCI-TECHnetBASE
/ Serological data
/ seroprevalence data
/ social contacts
/ Statistical Theory & Methods
/ STATSnetBASE
/ STMnetBASE
/ surveillance data
2020
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Handbook of Infectious Disease Data Analysis
2020
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Overview
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
\"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
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.
Publisher
CRC Press,CRC Press LLC,Chapman & Hall
Subject
ISBN
9781138626713, 1138626716, 1032087358, 9781032087351
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