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The evaluation of bias in scrapie surveillance: A review

  • Víctor J. Del Rio Vilas*
  • , Dirk U. Pfeiffer
  • *Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

10 Citations (Scopus)

Abstract

Evaluation of surveillance systems is a common practice in the context of human health, but only recently has been applied in the veterinary field. Commonly, a series of attributes are monitored to assess the system. Suboptimal performance of the surveillance in relation to any of these attributes may lead to bias in the surveillance results. The intensity of scrapie surveillance has increased considerably in recent years as a result of public health concerns. In this paper, a number of approaches described in the literature for the evaluation of surveillance systems are reviewed, with a focus on the sensitivity and representativeness attributes of scrapie surveillance systems in the European Union. Many of the methods applied in other fields, such as ecology and public health, are exchangeable and relevant for scrapie surveillance.

Original languageEnglish
Pages (from-to)259-264
Number of pages6
JournalVeterinary Journal
Volume185
Issue number3
DOIs
Publication statusPublished - Sept 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bias
  • Representativeness
  • Scrapie
  • Sensitivity
  • Sheep
  • Surveillance

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