Handbook of Infectious Disease Data Analysis (Hardcover)

I Introduction 1. Introduction (Held, Hens, O’Neill, Wallinga) II Basic Concepts 1. Population dynamics of pathogens (Ottar Bjornstad) 2. Infectious disease data from surveillance, outbreak investigation and epidemiological studies (Susan Hahne and Richard Pebody) 3. Key concepts in infectious disease epidemiology (Nick Jewell) 4. Key parameters in infectious disease epidemiology (Laura White) 5. Contact patterns for contagious diseases (Jacco Wallinga, Jan van de Kassteele, Niel Hens) 6. Basic stochastic transmission models and their inference (Tom Britton) 7. Analysis of vaccine studies and causal inference (Betz Halloran) III Analysis of Outbreak Data 1. Markov chain Monte Carlo methods for outbreak data (Philip O’Neill, Theodore Kypraios) 2. Approximate Bayesian Computation methods for epidemic models (Peter Neal) 3. Iterated filtering methods for Markov process epidemic models (Theresa Stocks) 4. Pairwise survival analysis of infectious disease transmission data (Eben Kenah) 5. Methods for outbreaks using genomic data (Don Klinkenberg, Caroline Colijn, Xavier Didelot) IV Analysis of Seroprevalence Data 1. Persistence of passive immunity, natural immunity (and vaccination) (Amy Winter, Jess Metcalf) 2. Inferring the time of infection from serological data (Maciej Boni, Kare Mølbak, Karen Angeliki Krogfelt) 3. The use of seroprevalence data to estimate cumulative incidence of infection (Ben Cowling, Jes-sica Wong) 4. The analysis of serological data with transmission models (Marc Baguelin) 5. The analysis of multivariate serological data (Steven Abrams) 6. Mixture modelling (Emanuele Del Fava, Ziv Shkedy) V Analysis of Surveillance Data 1. Modelling infectious diseases distributions: applications of point process methods (Peter J Diggle) 2. Prospective detection of outbreaks (Benjamin Allevius, Michael Hohle) 3. Underreporting and reporting delays (Angela Noufaily) 4. Spatio-temporal analysis of surveillance data (Jon Wakefield, Tracy Q Dong, Vladimir N Minin) 5. Analysing multiple epidemic data sources (Daniela de Angelis, Anne Presanis) 6. Forecasting based on surveillance data (Leonhard Held, Sebastian Meyer) 7. Spatial mapping of infectious disease risk (Ewan Cameron)