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Misclassification of Plasmodium infections by conventional microscopy and the impact of remedial training on the proficiency of laboratory technicians in species identification

Overview of attention for article published in Malaria Journal, March 2013
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Title
Misclassification of Plasmodium infections by conventional microscopy and the impact of remedial training on the proficiency of laboratory technicians in species identification
Published in
Malaria Journal, March 2013
DOI 10.1186/1475-2875-12-113
Pubmed ID
Authors

Peter Obare, Bernhards Ogutu, Mohammed Adams, James Sande Odera, Ken Lilley, David Dosoo, Christine Adhiambo, Seth Owusu-Agyei, Fred Binka, Elizabeth Wanja, Jacob Johnson

Abstract

Malaria diagnosis is largely dependent on the demonstration of parasites in stained blood films by conventional microscopy. Accurate identification of the infecting Plasmodium species relies on detailed examination of parasite morphological characteristics, such as size, shape, pigment granules, besides the size and shape of the parasitized red blood cells and presence of cell inclusions. This work explores misclassifications of four Plasmodium species by conventional microscopy relative to the proficiency of microscopists and morphological characteristics of the parasites on Giemsa-stained blood films.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Peru 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Master 15 17%
Researcher 14 16%
Student > Doctoral Student 9 10%
Student > Bachelor 6 7%
Other 13 14%
Unknown 18 20%
Readers by discipline Count As %
Medicine and Dentistry 21 23%
Agricultural and Biological Sciences 15 17%
Biochemistry, Genetics and Molecular Biology 12 13%
Immunology and Microbiology 4 4%
Engineering 4 4%
Other 14 16%
Unknown 20 22%