Handbook of Infectious Disease Data Analysis Chapman & Hall/CRC Handbooks of Modern Statistical Methods Series
Coordonnateurs : Held Leonhard, Hens Niel, O'Neill Philip, Wallinga Jacco
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
Introduction. Analysis of Outbreak Data. Analysis of Seroprevalence Data. Analysis of Surveillance Data. Additional Topics.
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.
Date de parution : 06-2021
17.8x25.4 cm
Date de parution : 11-2019
17.8x25.4 cm
Thèmes de Handbook of Infectious Disease Data Analysis :
Mots-clés :
Accelerated Failure Time Model; Approximate Bayesian Computation Methods; Communicable disease; Approximate Bayesian Computation; Public health surveillance; ABC Algorithm; Epidemic model; Effective Reproduction Number; Serological data; MCMC Algorithm; Mathematical epidemiology; Cumulative Distribution Function; Biostatistics; Endemic Equilibrium; epidemiological; Spatio Temporal Point Process; infection; Posterior Distribution; outbreak data; Reproductive Number; seroprevalence data; Infectious Period; biomarkers; Sir Model; Frailty Models; Transmission Trees; contagious disease; Infectious Disease Data; data analysis; Sera Collected; Infectious Contacts; epidemiology; genome sequences; FMD; health; Peak IgG; infectious; Test Negative Design; infectious disease; Log Gaussian Cox Process; infectious disease epidemiology; IPW Estimator; Shared Frailty Models; pathogens; social contacts; surveillance data
