Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis.

Hdl Handle:
http://hdl.handle.net/10144/142190
Title:
Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis.
Authors:
Checchi, F; Chappuis, F; Karunakara, U; Priotto, G; Chandramohan, D
Journal:
PLoS Neglected Tropical Diseases
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.
Affiliation:
London School of Hygiene and Tropical Medicine, United Kingdom. Francesco.checchi@lshtm.ac.uk
Issue Date:
Jul-2011
URI:
http://hdl.handle.net/10144/142190
DOI:
10.1371/journal.pntd.0001233
PubMed ID:
21750745
Type:
Article
Language:
en
ISSN:
1935-2735
Appears in Collections:
Trypanosomiasis/Sleeping Sickness

Full metadata record

DC FieldValue Language
dc.contributor.authorChecchi, Fen
dc.contributor.authorChappuis, Fen
dc.contributor.authorKarunakara, Uen
dc.contributor.authorPriotto, Gen
dc.contributor.authorChandramohan, Den
dc.date.accessioned2011-09-12T20:45:26Z-
dc.date.available2011-09-12T20:45:26Z-
dc.date.issued2011-07-
dc.identifier.citationAccuracy of five algorithms to diagnose gambiense human African trypanosomiasis. 2011, 5 (7):e1233 PLoS Negl Trop Disen
dc.identifier.issn1935-2735-
dc.identifier.pmid21750745-
dc.identifier.doi10.1371/journal.pntd.0001233-
dc.identifier.urihttp://hdl.handle.net/10144/142190-
dc.description.abstractAlgorithms 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.en
dc.language.isoenen
dc.rightsArchived with thanks to PLoS Neglected Tropical Diseases and Open Access.en
dc.titleAccuracy of five algorithms to diagnose gambiense human African trypanosomiasis.en
dc.typeArticleen
dc.contributor.departmentLondon School of Hygiene and Tropical Medicine, United Kingdom. Francesco.checchi@lshtm.ac.uken
dc.identifier.journalPLoS Neglected Tropical Diseasesen

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