Finnish Food Authority, Mustialankatu 3, 00790 Helsinki, Finland.
National Institute for Health and Welfare, Mannerheimintie 166, 00300 Helsinki, Finland.
Int J Food Microbiol. 2019 Sep 2;304:97-105. doi: 10.1016/j.ijfoodmicro.2019.04.007. Epub 2019 May 2.
Listeria monocytogenes causes severe consequences especially for persons belonging to risk groups. Finland is among the countries with highest number of listeriosis cases in the European Union. Although most reported cases appear to be sporadic and the maximum bacterial concentration of 100 cfu/g is not usually exceeded at retail, cold smoked and salt-cured fish products have been noted as those products with great risk especially for the elderly. In order to investigate the listeriosis risk more carefully, an exposure assessment was developed, and laboratory results for cold smoked and salt-cured salmon products were exploited. L. monocytogenes exposure was modeled for consumers in two age groups, the elderly population as a risk group and the working-age population as a reference. Incidence was assessed by estimating bacterial growth in the food products at three temperatures. Bayesian estimation of the risk was based on bacterial occurrence and product consumption data and epidemiological population data. The model builds on a two-state Markov chain describing repeated consumption on consecutive days. The cumulative exposure is probabilistically governed by the daily decreasing likelihood of continued consumption and the increasing bacterial concentrations due to growth. The population risk was then predicted with a Poisson distribution accounting for the daily probabilities of purchasing a contaminated product and the cumulative total probability of infection from its use. According to the model presented in this article, elderly Finns are at a greater risk of acquiring listeriosis than healthy adults. The risk for the elderly does not fully diminish even if the products have been stored at the recommended temperature (between 0 and 3 °C). It can be concluded that the stage after retail, i.e. food handling and storage by consumer or professional kitchens, is essential to protection against listeriosis. The estimation model provides means for assessing the joint impacts of these effects.
李斯特菌会给特定人群带来严重后果,尤其是高危人群。芬兰是欧盟国家中李斯特菌病发病率最高的国家之一。尽管大多数报告的病例似乎是散发病例,零售食品中通常不会超过最大细菌浓度 100cfu/g,但冷熏和腌制鱼产品被认为是高危产品,尤其是对老年人而言。为了更仔细地调查李斯特菌病风险,开发了一项暴露评估,并利用冷熏和腌制三文鱼产品的实验室结果。针对两个年龄组的消费者(老年人作为高危人群,劳动年龄人口作为参照人群)对李斯特菌的暴露情况进行建模。通过估计食品在三种温度下的细菌生长情况来评估发病率。基于细菌出现和产品消费数据以及流行病学人口数据,采用贝叶斯估计风险。该模型建立在一个二状态马尔可夫链的基础上,描述了连续几天的重复消费。累积暴露由连续消费的可能性逐日降低和因生长导致的细菌浓度增加共同决定。然后,通过泊松分布预测人群风险,泊松分布考虑了购买污染产品的每日可能性和使用产品导致感染的累积总概率。根据本文提出的模型,芬兰老年人感染李斯特菌的风险高于健康成年人。即使产品储存在推荐温度(0 到 3°C 之间),老年人的风险也不会完全降低。可以得出结论,零售之后的阶段,即消费者或专业厨房的食品处理和储存阶段,对预防李斯特菌病至关重要。该评估模型提供了评估这些因素共同影响的手段。