Bookedited by Leonhard Held, Niel Hens, Philip D. O'Neill, Jacco Wallinga.
Summary: 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
Contents:
Population Dynamics of Pathogens
Infectious Disease Data from Surveillance, Outbreak Investigation, and Epidemiological Studies
Key Concepts in Infectious Disease Epidemiology
Key Parameters in Infectious Disease Epidemiology
Contact Patterns for Contagious Diseases
Basic Stochastic Transmission Models and Their Inference
Analysis of Vaccine Studies and Causal Inference
Markov Chain Monte Carlo Methods for Outbreak Data
Approximate Bayesian Computation Methods for Epidemic Models
Iterated Filtering Methods for Markov Process Epidemic Models
Pairwise Survival Analysis of Infectious Disease Transmission Data
Methods for Outbreaks Using Genomic Data
Persistence of Passive Immunity, Natural Immunity (and Vaccination)
Inferring the Time of Infection from Serological Data
Use of Seroprevalence Data to Estimate Cumulative Incidence of Infection
Analysis of Serological Data with Transmission Models
Analysis of Multivariate Serological Data
Mixture Modeling
Modeling Infectious Disease Distributions : Applications of Point Process Methods
Prospective Detection of Outbreaks
Underreporting and Reporting Delays
Spatio-Temporal Analysis of Surveillance Data
Analysing Multiple Epidemic Data Sources
Forecasting Based on Surveillance Data
Spatial Mapping of Infectious Disease Risk.