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    Mar 04, 2021
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    Advances in malaria elimination in Botswana: a dramatic shift to parasitological diagnosis, 2008-2014

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    Moakhofi et al - 2018 - Advances ...
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    Authors
    Moakofhi, K
    Edwards, JK
    Motlaleng, M
    Namboze, J
    Butt, W
    Obopile, M
    Mosweunyane, T
    Manzi, M
    Takarinda, KC
    Owiti, P
    Issue Date
    2018-04-25
    Submitted date
    2018-05-11
    
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    Journal
    Public Health Action
    Abstract
    Background: Malaria elimination requires infection detection using quality assured diagnostics and appropriate treatment regimens. Although Botswana is moving towards malaria elimination, reports of unconfirmed cases may jeopardise this effort. This study aimed to determine the proportion of cases treated for malaria that were confirmed by rapid diagnostic testing (RDT) and/or microscopy. Methods: This was a retrospective descriptive study using routine national data from the integrated disease surveillance and case-based surveillance systems from 2008 to 2014. The data were categorised into clinical and confirmed cases each year. An analysis of the data on cases registered in three districts that reported approximately 70% of all malaria cases was performed, stratified by year, type of reporting health facilities and diagnostic method. Results: During 2008-2014, 50 487 cases of malaria were reported in Botswana, and the proportion of RDT and/or blood microscopy confirmed cases improved from 6% in 2008 to 89% in 2013. The total number of malaria cases decreased by 97% in the same period, then increased by 41% in 2013. Conclusion: This study shows that malaria diagnostic tests dramatically improved malaria diagnosis and consequently reduced the malaria burden in Botswana. The study identified a need to build capacity on microscopy for species identification, parasite quantification and guiding treatment choices.
    Publisher
    International Union Against Tuberculosis and Lung Disease
    URI
    http://hdl.handle.net/10144/619149
    DOI
    10.5588/pha.17.0017
    PubMed ID
    29713592
    Language
    en
    ISSN
    2220-8372
    ae974a485f413a2113503eed53cd6c53
    10.5588/pha.17.0017
    Scopus Count
    Collections
    Operational Research Courses

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