Accuracy of five algorithms to diagnose gambiense human african trypanosomiasis.


Checchi, F; Chappuis, F; Karunakara, U; Priotto, G; Chandramohan, D; (2011) Accuracy of five algorithms to diagnose gambiense human african trypanosomiasis. PLoS neglected tropical diseases, 5 (7). e1233. ISSN 1935-2727 DOI: https://doi.org/10.1371/journal.pntd.0001233

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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.

Item Type: Article
Faculty and Department: Faculty of Infectious and Tropical Diseases > Dept of Disease Control
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre: ECOHOST - The Centre for Health and Social Change
Health in Humanitarian Crises Centre
PubMed ID: 21750745
Web of Science ID: 293166300013
URI: http://researchonline.lshtm.ac.uk/id/eprint/376

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