Four hundred and six soil samples collected from five schoolyards in Mai Trung Commune, Bac Giang Province, Northern Vietnam, from 2005 to 2007 were examined for helminth eggs using a sucrose centrifugal flotation method. The soils around latrines was found to be heavily contaminated with Ascaris sp. eggs. The contamination rate of Ascaris sp. eggs at each school and prevalence of ascariasis among the school children showed a positive correlation (P&It;0.05). This indicated that examination of soil from the area around latrines for Ascaris sp. eggs is a useful method to estimate the prevalence of ascariasis among school children.

Objectives: Vertebral fracture is both common and serious among adults, yet it often goes undiagnosed. This study aimed to develop a shape-based algorithm (SBA) for the automatic identification of vertebral fractures. Methods: The study included 144 participants (50 individuals with a fracture and 94 without a fracture) whose plain thoracolumbar spine X-rays were taken. Clinical diagnosis of vertebral fracture (grade 0 to 3) was made by rheumatologists using Genant’s semiquantitative method. The SBA algorithm was developed to determine the ratio of vertebral body height loss. Based on the ratio, SBA classifies a vertebra into 4 classes: 0 = normal, 1 = mild fracture, 2 = moderate fracture, 3 = severe fracture). The concordance between clinical diagnosis and SBAbased classification was assessed at both person and vertebra levels. Results: At the person level, the SBA achieved a sensitivity of 100% and specificity of 62% (95% CI, 51%–72%). At the vertebra level, the SBA achieved a sensitivity of 84% (95% CI, 72%–93%), and a specificity of 88% (95% CI, 85%–90%). On average, the SBA took 0.3 s to assess each X-ray. Conclusions The SBA developed here is a fast and efficient tool that can be used to systematically screen for asymptomatic vertebral fractures and reduce the workload of healthcare professionals.