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Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis | Journal Article / Research | MSF Science Portal
Journal Article
|Research

Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis

Checchi F, Chappuis F, Karunakara U, Priotto G, Chandramohan D
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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.

Countries

Congo-Brazzaville South Sudan Uganda

Subject Area

diagnosticsneglected tropical diseasessleeping sickness

Languages

English
DOI
10.1371/journal.pntd.0001233
Published Date
05 Jul 2011
PubMed ID
21750745
Journal
PLOS Neglected Tropical Diseases
Volume | Issue | Pages
Volume 5, Issue 7
Issue Date
2011-07-05
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