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Activity Number: 217 - Recent Developments in Spatial Statistics
Type: Topic Contributed
Date/Time: Monday, July 31, 2017 : 2:00 PM to 3:50 PM
Sponsor: SSC
Abstract #322991 View Presentation
Title: Individual Level Infectious Disease Models Incorporating Aggregate Level Spatial Structure
Author(s): Rob Deardon* and MD Mahsin
Companies: University of Calgary and University of Calgary
Keywords: Infectious disease models ; Spatial modelling ; Geostatistics ; Bayesian statistics ; MCMC
Abstract:

Numerous examples exist of infectious disease models that incorporate spatial distance and other covariates at the individual level. This has been most noticeable perhaps in agricultural case studies such as the UK 2001 foot and mouth disease epidemic. However, both in agriculture and public health, many salient covariates that display spatial structure are collected at a regional level. Here, we extend individual level infectious disease models to incorporate such spatially structured regional/aggregate level information. This is done primarily within the context of regional data from the public health system of Alberta, Canada. We discuss issues of both inference and computation.


Authors who are presenting talks have a * after their name.

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