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Handbook of Infectious Disease Data Analysis
DOI link for Handbook of Infectious Disease Data Analysis
Handbook of Infectious Disease Data Analysis book
Handbook of Infectious Disease Data Analysis
DOI link for Handbook of Infectious Disease Data Analysis
Handbook of Infectious Disease Data Analysis book
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ABSTRACT
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
TABLE OF CONTENTS
part Part I|1 pages
Introduction
part Part II|1 pages
Basic Concepts
chapter 3|20 pages
Infectious Disease Data from Surveillance, Outbreak Investigation, and Epidemiological Studies
chapter 6|18 pages
Contact Patterns for Contagious Diseases
part Part III|2 pages
Analysis of Outbreak Data
chapter 9|20 pages
Markov Chain Monte Carlo Methods for Outbreak Data
chapter 13|18 pages
Methods for Outbreaks Using Genomic Data
part Part IV|1 pages
Analysis of Seroprevalence Data
chapter 14|20 pages
Persistence of Passive Immunity, Natural Immunity (and Vaccination)
chapter 15|17 pages
Inferring the Time of Infection from Serological Data
chapter 16|10 pages
The Use of Seroprevalence Data to Estimate Cumulative Incidence of Infection
part Part V|1 pages
Analysis of Surveillance Data