Literature DB >> 10761738

Epidemiologic tools for malaria surveillance in an urban setting of low endemicity along the Colombian Pacific coast.

G Carrasquilla1, M Banguero, P Sanchez, F Carvajal, R H Barker, G W Gervais, E Algarin, A E Serrano.   

Abstract

An evaluation of 3 different methods for malaria diagnosis was carried out in an urban area of low endemicity on the Pacific coast of Colombia. Samples were collected from 833 symptomatic patients at a malaria clinic and examined by the polymerase chain reaction (PCR), quantitative buffy coat (QBC; Becton Dickinson, Franklin Lakes, NJ) method, and the traditional thick blood smear. The prevalence of Plasmodium falciparum malaria was 5.88% by thick blood smear, 7.34% by the QBC method, and 21.87% by PCR. The agreement between microscopists was 99.5%. The agreement between the QBC method and thick blood smear was 96.13% (n = 745). Samples positive by PCR but negative by thick blood smear or conversely negative by PCR and positive by thick blood smear were usually of low-level parasitemias. All 3 methods showed agreement in 76.3% of the samples. Sixty-nine (18.8%) samples were positive by PCR but negative by the other 2 methods. Ten samples were positive by both the QBC method and thick blood smear but negative by PCR; most of them had low-level parasitemias. The use of malaria diagnostic methods for epidemiologic surveillance is discussed.

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Year:  2000        PMID: 10761738     DOI: 10.4269/ajtmh.2000.62.132

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  2 in total

1.  A simple, efficient and inexpensive method for malaria parasites' DNA catching from fixed Giemsa-stained blood slides.

Authors:  Abbas Ali Eskandarian; Sara Moradi; Saeed Abedi
Journal:  J Parasit Dis       Date:  2014-10-05

2.  A molecular survey of febrile cases in malaria-endemic areas along China-Myanmar border in Yunnan province, People's Republic of China.

Authors:  Xia Zhou; Ji-Lei Huang; Metoh Theresia Njuabe; Sheng-Guo Li; Jun-Hu Chen; Xiao-Nong Zhou
Journal:  Parasite       Date:  2014-06-23       Impact factor: 3.000

  2 in total

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