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Developments in General and Syndromic Surveillance for Small Area Health Data

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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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Keywords: Syndromic; health; small area; statistics; surveillance

Document Type: Research Article

Affiliations: Norman J. Arnold School of Public Health, University of South Carolina, Columbia, USA

Publication date: October 1, 2004

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