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Developments in General and Syndromic Surveillance for Small Area Health Data

Author

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  • Andrew Lawson
  • Allan Clark
  • Carmen Vidal Rodeiro

Abstract

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.

Suggested Citation

  • Andrew Lawson & Allan Clark & Carmen Vidal Rodeiro, 2004. "Developments in General and Syndromic Surveillance for Small Area Health Data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(8), pages 951-966.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:8:p:951-966
    DOI: 10.1080/0266476042000270568
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    Cited by:

    1. Linus Schiöler & Marianne Fris�n, 2012. "Multivariate outbreak detection," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(2), pages 223-242, April.
    2. Frisén, Marianne & Andersson, Eva, 2008. "Semiparametric surveillance of outbreaks," Research Reports 2007:11, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.

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