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  • Book
    edited 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.
    Digital Access TandFonline 2020