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      Identification of the Plasmodium species in clinical samples from children residing in five epidemiological strata of malaria in Cameroon

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          Abstract

          Background

          Malaria in Cameroon was previously known to be caused solely by Plasmodium falciparum but today, evidence points to other Plasmodium species including P. vivax, P. ovale and P. malariae. The purpose of this study was to identify the Plasmodium species in clinical samples from children residing in five epidemiological strata of malaria in Cameroon, so as to advise control policies.

          Methods

          One thousand six hundred nine febrile children (≤15 years) were recruited from five epidemiological strata of malaria including the Sudano-sahelian (SS) strata, the High inland plateau (HIP) strata, the South Cameroonian Equatorial forest (SCEF) strata, the High western plateau (HWP) strata and the Coastal (C) strata. Malaria parasites were detected by Giemsa microscopy (GM) while a multiplex polymerase chain reaction (PCR) was used to identify the Plasmodium species. Statistical analysis performed included the Pearson chi-square test, and statistical significance was set at p < 0.05.

          Results

          The PCR-adjusted prevalence of malaria was 17.6%. The detection rate of PCR was higher than GM ( p = 0.05). However, GM demonstrated a high sensitivity (85.5%) and specificity (100%) and, overall, a perfectly correlated agreement with PCR (97.5%). The prevalence of malaria was significantly higher in children between 60 and 119 months ( p < 0.001) and in Limbe (in the Coastal strata) ( p < 0.001). Contrariwise, the prevalence of malaria was not associated with gender ( p = 0.239). P. falciparum was identified in all (100%) the cases of malaria; P. ovale, P. vivax, P. malariae and P. knowlesi were all absent. No case of mixed infection was identified.

          Conclusions

          P. falciparum was the only species causing clinical malaria in the target population, which is contrary to studies that have reported P. vivax, P. malariae and P. ovale as causing clinical malaria in Cameroon.

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          Most cited references45

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          A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT).

          The absolute necessity for rational therapy in the face of rampant drug resistance places increasing importance on the accuracy of malaria diagnosis. Giemsa microscopy and rapid diagnostic tests (RDTs) represent the two diagnostics most likely to have the largest impact on malaria control today. These two methods, each with characteristic strengths and limitations, together represent the best hope for accurate diagnosis as a key component of successful malaria control. This review addresses the quality issues with current malaria diagnostics and presents data from recent rapid diagnostic test trials. Reduction of malaria morbidity and drug resistance intensity plus the associated economic loss of these two factors require urgent scaling up of the quality of parasite-based diagnostic methods. An investment in anti-malarial drug development or malaria vaccine development should be accompanied by a parallel commitment to improve diagnostic tools and their availability to people living in malarious areas.
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            A Climate-based Distribution Model of Malaria Transmission in Sub-Saharan Africa

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              World malaria report 2015

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                Author and article information

                Contributors
                +(237) 697 979 776 , kwentitebit@yahoo.com
                b.tayong@yahoo.com
                ann_njunda@yahoo.com
                A.Latz@novatec-id.com
                drkapt@yahoo.com
                wifon@yahoo.com
                Journal
                Trop Med Health
                Trop Med Health
                Tropical Medicine and Health
                BioMed Central (London )
                1348-8945
                1349-4147
                15 June 2017
                15 June 2017
                2017
                : 45
                : 14
                Affiliations
                [1 ]ISNI 0000 0001 2288 3199, GRID grid.29273.3d, Department of Medical Laboratory Sciences, , University of Buea, ; P.B. 63, Buea, Cameroon
                [2 ]ISNI 0000 0001 2288 3199, GRID grid.29273.3d, Department of Microbiology and Parasitology, , University of Buea, ; P.B. 63, Buea, Cameroon
                [3 ]Diagnostic laboratory, Regional Hospital of Buea, P.B. 32, Buea, Cameroon
                [4 ]Research and Development Department, NovaTec Immundiagnostica GmbH, Dietzenbach, Germany
                Article
                58
                10.1186/s41182-017-0058-5
                5471890
                28630585
                7e76de63-8d0e-4bf1-8951-0573ae85495f
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 31 March 2017
                : 16 May 2017
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Medicine
                plasmodium species,pcr,microscopy,malaria,children,epidemiological strata,cameroon
                Medicine
                plasmodium species, pcr, microscopy, malaria, children, epidemiological strata, cameroon

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