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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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