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Frailty Models for Infectious Disease Epidemiology

Frailty Models for Infectious Disease Epidemiology

Steven Abrams, Andreas Wienke, Niel Hens

ISBN: 978-1-119-34578-7

May 2020

250 pages

$79.99

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Description

The aim of this book is to familiarise epidemiologists with frailty concepts and to highlight the
importance of quantifying individual heterogeneity when estimating key epidemiological parameters. 
Although individual heterogeneity in the acquisition of infectious diseases is acknowledged by many 
epidemiologists, one rarely accounts for it in the statistical analysis. Hence, our work aims at 
increasing awareness among epidemiologists in infectious disease modelling to accommodate both 
observed and unobserved sources of heterogeneity. In addition, the methods illustrated in this book 
enable the identification of transmission routes for infections for which the main routes are 
unknown by modelling multiple infections simultaneously. These approaches are closely related to 
random effects models for multivariate
correlated data, albeit that we are faced with Type I interval-censored time-to-event data.
The aim of this book is to familiarise epidemiologists with frailty concepts and to highlight the importance of quantifying individual heterogeneity when estimating key epidemiological parameters. Although individual heterogeneity in the acquisition of infectious diseases is acknowledged by many epidemiologists, one rarely accounts for it in the statistical analysis.

Hence, this book focuses on increasing awareness among epidemiologists in infectious disease modelling in order to accommodate both observed and unobserved sources of heterogeneity.

In addition, the methods illustrated in this book enable the identification of transmission routes for infections for which the main routes are unknown by modelling multiple infections simultaneously. These approaches are closely related to random effects models for multivariate correlated data.