2024-03-29T12:44:07Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/67742023-10-10T08:41:22Zcom_20.500.12105_2074com_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_2075
Repisalud
author
Santana-Morales, Maria A
author
Afonso-Lehmann, Raquel N
author
Quispe, Maria A
author
Reyes, Francisco
author
Berzosa, Pedro
author
Benito, Agustin
author
Valladares, Basilio
author
Martinez-Carretero, Enrique
funder
RETICS-Investigación colaborativa en Enfermedades Tropicales (RICET-ISCIII) (España)
funder
Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias
2018-12-07T09:16:20Z
2018-12-07T09:16:20Z
2012-06-13
Malar J. 2012 Jun 13;11:199.
1475-2875
http://hdl.handle.net/20.500.12105/6774
22694993
10.1186/1475-2875-11-199
1475-2875
Malaria journal
BACKGROUND: Malaria is a leading public health problem in Ethiopia. Accurate diagnosis of Plasmodium infections is crucial for the reduction of malaria in tropical areas and for epidemiological studies. The role of light microscopy (LM) as gold standard has been questioned and, therefore, new molecular methods have been developed for the detection of Plasmodium species. The aim of the present work was to compare different malaria diagnostic methods in order to detect the most common species of Plasmodium and to broaden the knowledge of malaria prevalence in a hospital in a rural area in Ethiopia. METHODS: A cross-sectional survey of 471 individuals was carried out in a hospital in the rural area of Gambo (Ethiopia). Blood samples were prepared for microscopic observation and collected in filter paper for Seminested-Multiplex PCR (SnM-PCR) and real time PCR (qPCR) testing. The SnM-PCR was considered as the gold standard technique and compared with the rest. Thus, agreement between SnM-PCR and LM was determined by calculating Kappa Statistics and correlation between LM and qPCR quantification was calculated by pair-wise correlation co-efficient. RESULTS: Samples analysed by LM and SnM-PCR were positive for Plasmodium sp. 5.5% and 10.5%, respectively. Sensitivity was 52.2% by LM and 70% by qPCR. Correlation co-efficient between microscopy counts and qPCR densities for Plasmodium vivax was R2 = 0.586. Prevalence was estimated at 7% (95% CI: 4.7-9.3). Plasmodium vivax was the dominant species detected and the difference was statistically significant (χ2 = 5.121 p < 0.05). The highest prevalence of the parasite (10.9%) was observed in age groups under 15 years old. CONCLUSION: Accurate malaria diagnostic methods have a great effect in the reduction of the number of malaria-infected individuals. SnM-PCR detection of malaria parasites may be a very useful complement to microscopic examination in order to obtain the real prevalence of each Plasmodium species. Although SnM-PCR shows that it is a good tool for the determination of Plasmodium species, today light microscopy remains the only viabletool for malaria diagnosis in developing countries. Therefore, re-inforcement in the training of microscopists is essential for making the correct diagnosis of malaria. Plasmodium vivax was the predominant species in Gambo, a meso-endemic area for this species.
eng
Diagnosis
Prevalence
Malaria
Ethiopia
Microscopy and molecular biology for the diagnosis and evaluation of malaria in a hospital in a rural area of Ethiopia
journal article
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URL
https://repisalud.isciii.es/bitstream/20.500.12105/6774/1/MicroscopyAndMolecularBiology_2012.pdf
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https://repisalud.isciii.es/bitstream/20.500.12105/6774/3/MicroscopyAndMolecularBiology_2012.pdf.txt
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