Developments in General and Syndromic Surveillance for Small Area Health Data
In this paper we examine a range of issues related to the analysis of health surveillance data when it is spatially-referenced. The importance of considering alarm functions derived from likelihood or Bayesian models is stressed. In addition, we focus on some new developments in predictive distribution residuals in the analysis.
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