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    Mar 04, 2021
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    Accuracy of five algorithms to diagnose gambiense human African trypanosomiasis.

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    Name:
    504_Checchi 2011 PLoSNTDs HAT ...
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    Authors
    Checchi, F
    Chappuis, F
    Karunakara, U
    Priotto, G
    Chandramohan, D
    Affiliation
    London School of Hygiene and Tropical Medicine, United Kingdom. Francesco.checchi@lshtm.ac.uk
    Issue Date
    2011-07
    
    Metadata
    Show full item record
    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.
    URI
    http://hdl.handle.net/10144/142190
    DOI
    10.1371/journal.pntd.0001233
    PubMed ID
    21750745
    Type
    Article
    Language
    en
    ISSN
    1935-2735
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pntd.0001233
    Scopus Count
    Collections
    Trypanosomiasis/Sleeping Sickness

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