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Title

Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis

Authors
Checchi, Francesco
Karunakara, Unni
Priotto, Gerardo
Chandramohan, Daniel
Published in PLOS Neglected Tropical Diseases. 2011, vol. 5, no. 7, p. e1233
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 AlgorithmsCongoDiagnostic Techniques and ProceduresHumansImmunoassay/methodsParasitology/methodsSensitivity and SpecificitySudanTrypanosoma brucei gambiense/immunology/isolation & purificationTrypanosomiasis, African/diagnosis/parasitology/pathologyUganda
Identifiers
PMID: 21750745
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Research group Groupe Jean-Michel Gaspoz (23)
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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. https://archive-ouverte.unige.ch/unige:25494

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Deposited on : 2013-01-14

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