Handbook of infectious disease data analysis / edited by Leonhard Held, Niel Hens, Philip D. O'Neill, Jacco Wallinga.

Format:

Book

Contributor:

Held, Leonhard, Editor.

Hens, Niel, Editor.

O'Neill, Philip D., Editor.

Wallinga, Jacco, Editor.

Series:

Chapman & Hall/CRC handbooks of modern statistical methods.

Chapman & Hall/CRC handbooks of modern statistical methods

Language:

English

Subjects (All):

Communicable diseases.

Communicable Diseases.

Statistics as Topic.

Communicable diseases--Statistics.

Medical Subjects:

Communicable Diseases.

Statistics as Topic.

Physical Description:

1 online resource (567 pages).

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, [2020]

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.

Notes:

Description based on print version record.

ISBN:

1-351-83931-4

1-351-83932-2

1-315-22291-4

9781315222912

OCLC:

1127232171