Basic Stochastic Transmission Models and Their Inference

Authored by: Tom Britton

Handbook of Infectious Disease Data Analysis

Print publication date:  November  2019
Online publication date:  November  2019

Print ISBN: 9781138626713
eBook ISBN: 9781315222912
Adobe ISBN:

10.1201/9781315222912-7

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Abstract

This Chapter presents an overview of each stage in the practical application of model-based geostatistics to infectious disease risk stratification. A particular focus is given to understanding probabilistic map-making from the perspective of Bayesian hierarchical modelling, and hence on the role of shrinkage, hyper-parameter identification, posterior representation, and cross-validation within this framework. An introductory treatment of common data types and model structures for disease mapping is also given, along with a description of the use of high resolution covariates from satellite imaging, for the benefit of readers new to the field. Extensive referencing has been made throughout to highlight many of the excellent recent papers on this topic and to point towards new avenues of active research.

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