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Title: Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis.
Authors: Checchi, Francesco
Chappuis, François
Karunakara, Unni
Priotto, Gerardo
Chandramohan, Daniel
Affiliation: London School of Hygiene and Tropical Medicine, United Kingdom. Francesco.checchi@lshtm.ac.uk
Citation: Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis. 2011, 5 (7):e1233 PLoS Negl Trop Dis
Journal: PLoS Neglected Tropical Diseases
Issue Date: Jul-2011
URI: http://hdl.handle.net/10144/142190
DOI: 10.1371/journal.pntd.0001233
PubMed ID: 21750745
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.
Type: Article
Language: en
ISSN: 1935-2735
Rights: Archived with thanks to PLoS Neglected Tropical Diseases and Open Access.
Appears in topics: Trypanosomiasis/Sleeping Sickness

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