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







part Part I|1 pages


chapter 1|8 pages


ByLeonhard Held, Niel Hens, Philip D. O’Neill, Jacco Wallinga

part Part II|1 pages

Basic Concepts

chapter 2|24 pages

Population Dynamics of Pathogens

ByOttar N. Bjørnstad

chapter 4|10 pages

Key Concepts in Infectious Disease Epidemiology

ByNicholas P. Jewell

chapter 5|25 pages

Key Parameters in Infectious Disease Epidemiology

ByLaura F. White

chapter 6|18 pages

Contact Patterns for Contagious Diseases

ByJacco Wallinga, Jan van de Kassteele, Niel Hens

chapter 7|18 pages

Basic Stochastic Transmission Models and Their Inference

ByTom Britton

chapter 8|28 pages

Analysis of Vaccine Studies and Causal Inference

ByM. Elizabeth Halloran

part Part III|2 pages

Analysis of Outbreak Data

chapter 9|20 pages

Markov Chain Monte Carlo Methods for Outbreak Data

ByPhilip D. O’Neill, Theodore Kypraios

chapter 10|19 pages

Approximate Bayesian Computation Methods for Epidemic Models

ByPeter J. Neal

chapter 11|21 pages

Iterated Filtering Methods for Markov Process Epidemic Models

ByTheresa Stocks

chapter 13|18 pages

Methods for Outbreaks Using Genomic Data

ByDon Klinkenberg, Caroline Colijn, Xavier Didelot

part Part IV|1 pages

Analysis of Seroprevalence Data

chapter 14|20 pages

Persistence of Passive Immunity, Natural Immunity (and Vaccination)

ByAmy K. Winter, C. Jessica E. Metcalf

chapter 15|17 pages

Inferring the Time of Infection from Serological Data

ByMaciej F. Boni, Kåre Mølbak, Karen A. Krogfelt

chapter 16|10 pages

The Use of Seroprevalence Data to Estimate Cumulative Incidence of Infection

ByBenjamin J. Cowling, Jessica Y. Wong

chapter 17|20 pages

The Analysis of Serological Data with Transmission Models

ByMarc Baguelin

chapter 18|26 pages

The Analysis of Multivariate Serological Data

BySteven Abrams

chapter 19|24 pages

Mixture Modeling

ByEmanuele Del Fava, Ziv Shkedy

part Part V|1 pages

Analysis of Surveillance Data

chapter 21|26 pages

Prospective Detection of Outbreaks

ByBenjamin Allévius, Michael Höhle

chapter 22|18 pages

Underreporting and Reporting Delays

ByAngela Noufaily

chapter 23|21 pages

Spatio-Temporal Analysis of Surveillance Data

ByJon Wakefield, Tracy Qi Dong, Vladimir N. Minin

chapter 24|32 pages

Analysing Multiple Epidemic Data Sources

ByDaniela De Angelis, Anne M. Presanis

chapter 25|19 pages

Forecasting Based on Surveillance Data

ByLeonhard Held, Sebastian Meyer

chapter 26|13 pages

Spatial Mapping of Infectious Disease Risk

ByEwan Cameron