异质性:影响微生物暴露和风险评估的主要因素。

Armand Maul
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引用次数: 5

摘要

微生物风险评估依赖于几种生物和环境因素,这些因素既影响生物制剂的暴露特性,也影响病原体-宿主关系中的致病性机制。许多暴露评估研究仍然集中于代表病原体和/或毒素浓度的概率分布的位置参数。然而,平均值或中位数本身不足以评估与给定暴露水平相关的不良影响。因此,研究了许多因素对疾病风险的影响,包括表征病原体在其环境中分布模式的形状参数。为了更好地了解影响风险的因素而开发的统计模型强调了异质性的作用及其对常用风险评估范式的影响。事实上,表征所消费的水或食物中所含病原体和(或)毒素的空间和时间分布的异质性已被证明是可能显著影响风险程度的一个主要因素。一般来说,风险随着异质性水平的提高而降低。在剂量-反应关系中存在阈值时,这一方案完全相反,因为异质性将产生巨大的影响,即当病原体的平均浓度低于阈值时,通过放大风险。此外,本文的方法可能对不同暴露条件下的风险排序分析有用,也可能导致改进水和食品质量指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneity: a major factor influencing microbial exposure and risk assessment.

Microbial risk assessment is dependent on several biological and environmental factors that affect both the exposure characteristics to the biological agents and the mechanisms of pathogenicity involved in the pathogen-host relationship. Many exposure assessment studies still focus on the location parameters of the probability distribution representing the concentration of the pathogens and/or toxin. However, the mean or median by themselves are insufficient to evaluate the adverse effects that are associated with a given level of exposure. Therefore, the effects on the risk of disease of a number of factors, including the shape parameters characterizing the distribution patterns of the pathogen in their environment, were investigated. The statistical models, which were developed to provide a better understanding of the factors influencing the risk, highlight the role of heterogeneity and its consequences on the commonly used risk assessment paradigm. Indeed, the heterogeneity characterizing the spatial and temporal distribution of the pathogen and/or the toxin contained in the water or food consumed is shown to be a major factor that may influence the magnitude of the risk dramatically. In general, the risk diminishes with higher levels of heterogeneity. This scheme is totally inverted in the presence of a threshold in the dose-response relationship, since heterogeneity will then have a tremendous impact, namely, by magnifying the risk when the mean concentration of pathogens is below the threshold. Moreover, the approach of this article may be useful for risk ranking analysis, regarding different exposure conditions, and may also lead to improved water and food quality guidelines.

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