Scientific article
OA Policy
English

Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis

Published inPLoS neglected tropical diseases, vol. 5, no. 7, e1233
Publication date2011
Abstract

Algorithms to diagnose gambiense human African trypanosomiasis (HAT, sleeping sickness) are often complex due to the unsatisfactory sensitivity and/or specificity of available tests, and typically include a screening (serological), confirmation (parasitological) and staging component. There is insufficient evidence on the relative accuracy of these algorithms. This paper presents estimates of the accuracy of five algorithms used by past Médecins Sans Frontières programmes in the Republic of Congo, Southern Sudan and Uganda.

Keywords
  • Algorithms
  • Congo
  • Diagnostic Techniques and Procedures
  • Humans
  • Immunoassay/methods
  • Parasitology/methods
  • Sensitivity and Specificity
  • Sudan
  • Trypanosoma brucei gambiense/immunology/isolation & purification
  • Trypanosomiasis, African/diagnosis/parasitology/pathology
  • Uganda
Citation (ISO format)
CHECCHI, Francesco et al. Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis. In: PLoS neglected tropical diseases, 2011, vol. 5, n° 7, p. e1233. doi: 10.1371/journal.pntd.0001233
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Article (Published version)
accessLevelPublic
Identifiers
Journal ISSN1935-2727
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210downloads

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