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Stochastic risk assessment of Listeria monocytogenes

机译:李斯特菌李斯特菌的随机风险评估

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The availability of information on the population's exposure to the biological agents is crucial for characterising the risks of associated food-borne pathogens. Unfortunately, the available exposure data are insufficient to assess the public health impact of pathogens. Effective dose-response models are required to evaluate the risks. The growth of the micro-organisms in the food is also important. The prediction of the microbial population in food plays important role in finding the risk of certain adverse effects on human population. This study combines the stochastic growth models with the dose-response models to find the risk of illness in consumers due to the consumption of contaminated food.
机译:有关人群接触生物制剂的信息的可用性对于表征相关食源性病原体的风险至关重要。不幸的是,现有的暴露数据不足以评估病原体对公共健康的影响。需要有效的剂量反应模型来评估风险。食物中微生物的生长也很重要。食物中微生物种群的预测在发现对人类种群产生某些不利影响的风险中起着重要作用。这项研究结合了随机增长模型和剂量反应模型,以发现消费者由于食用受污染的食物而患病的风险。

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