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Children Are Exposed to Fecal Contamination via Multiple Interconnected Pathways: A Network Model for Exposure Assessment

机译:儿童通过多种相互连接的途径暴露于粪便污染:暴露评估的网络模型

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In recent decades, quantitative microbial risk assessment (QMRA) has been widely used to assess exposure to fecal microbes and associated health risks. In this study, a multipathway exposure assessment model was developed to evaluate exposure to fecal microbes for children under 5 in highly contaminated urban environments. Children had contact with various environmental compartments. The contamination levels of these compartments were estimated from fecal indicator counts in the environmental samples. Structured observations of child behavior (including activities, locations, and time) were used to model behavioral sequences as a dynamic network. The exposure model combines behavior sequences with environmental contamination, using additional exposure factors when needed, to estimate the number of fecal microbes transferred from environmental sources to human oral ingestion. As fecal exposure in a highly contaminated urban environment consists of contributions from multiple pathways, it is imperative to study their relative importance. The model helps us better understand the characteristics of the exposure pathways that may be driven by variation in contamination and by variable behavior, like hygiene and high-risk activities. Importantly, the model also allows prediction of the quantitative effects of an intervention-the expected reduction in exposure due to infrastructural or behavioral changes-by means of scenario studies. Based on experience with this exposure model, we make specific recommendations for additional studies of child behavior and exposure factors in order to fill critical information gaps and improve the model structure and assumptions.
机译:近几十年来,定量微生物风险评估(QMRA)已被广泛用于评估粪便微生物的暴露量和相关的健康风险。在这项研究中,开发了一种多途径接触评估模型,以评估高度污染的城市环境中5岁以下儿童粪便微生物的接触。孩子们接触了各种环境隔间。这些隔室的污染水平是根据环境样品中的粪便指标计数估算的。对儿童行为(包括活动,位置和时间)的结构化观察用于将行为序列建模为动态网络。接触模型将行为序列与环境污染结合在一起,并在需要时使用其他接触因子来估计从环境源转移到人类口腔摄入的粪便微生物的数量。由于在高度污染的城市环境中粪便暴露是多种途径的贡献,因此必须研究它们的相对重要性。该模型可帮助我们更好地了解可能由污染变化和行为变化(如卫生和高风险活动)驱动的暴露途径的特征。重要的是,该模型还可以通过情景研究来预测干预措施的量化效果-由于基础设施或行为的变化而导致的预期接触减少。基于此接触模型的经验,我们针对儿童行为和接触因素的进一步研究提出了具体建议,以填补关键的信息空白并改善模型结构和假设。

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