A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT).
By C. Wongsrichanalai, M. Barcus, Sinuon Muth, Awalludin Sutamihardja, W. Wernsdorfer. American Journal of Tropical Medicine and Hygiene, 2007
988 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/4486175c6f09eb29760cd0fd5931601dafc800cd
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Citations in the corpus
- Continuous Inertial Focusing and Separation of Particles by Shape (2012, background): “For example, changes of red blood cells from their normal biconcave shapes to other shapes accompany many diseases, such as sickle-cell disease, anamia, or malaria [3,4].”
- A World Malaria Map: Plasmodium falciparum Endemicity in 2007 (2009, methodology): “The accuracy in the determination of PfPR by microscopy or rapid diagnostic tests were assumed to be equivalent in these analyses, but the sensitivity of the diagnostic technique [94–98] could be included into a future iterations of this MBG framework.”
- Image analysis and machine learning for detecting malaria (2018, methodology): “For more information about malaria diagnosis, we refer readers to the surveys in Ref 7 and 9 and the following references: 8,13,14 .”