In the era of (pre) elimination setting, the prevalence of malaria has been decreasing in most of the previously endemic areas. Therefore, effective cost- and time-saving validated pooling strategy is needed for detection of malaria in low transmission settings. In this study, optimal pooling numbers and lowest detection limit were assessed using known density samples prepared systematically, followed by genomic DNA extraction and nested PCR. Pooling strategy that composed of 10 samples in 1 pool, 20 µl in 1 sample, was optimal, and the parasite density as low as 2 p/µl for both falciparum and vivax infection was enough for detection of malaria. This pooling method showed effectiveness for handling of a huge number of samples in low transmission settings (<9% positive rate). The results indicated that pooling of the blood samples before DNA extraction followed by usual nested PCR is useful and effective for detection of malaria in screening of hidden cases in low-transmission settings.
DNA* ; Limit of Detection ; Malaria* ; Mass Screening ; Methods ; Parasites ; Plasmodium falciparum ; Plasmodium vivax ; Polymerase Chain Reaction ; Prevalence

Objectives: To estimate the frequency of Metabolic Syndrome (MS in Myanmar obese children and to determine the risk factors associated with MS in obese children comparing with normal weight children. Methodology: A cross-sectional study was conducted to compare the risk factors for metabolic syndrome between normal and obese children by using the pediatric definition for metabolic syndrome [International Diabetes Federation (IDF), 2007]. Twenty-three obese children (BMI, ≥ 97th percentile) and 23 normal weight children (BMI, < 85th percentile) aged 5-12 years were included in the study. Blood pressure, body weight, height, waist circumference (WC), fasting triglycerides, HDL-cholesterol, total cholesterol and glucose concentrations were determined. Results: Based on the IDF pediatric criteria, 9 obese children (39.1%) had metabolic syndrome while no normal weight child had metabolic syndrome. Ten (43.5%) normal weight children and 3 (13.0%) obese children had at least one risk factor for the metabolic syndrome. Central obesity (WC ³ 90th percentile for age and sex), the most common risk factor, was observed in 25 children (54.4% of the total population). Conclusion This study highlights the need for early recognition of risk factors for metabolic syndrome in all children to halt the progression of type 2 diabetes and cardiovascular diseases (CVD) in later life.
Metabolic Syndrome ; Risk Factors