Stacey K F, Parsons D J, Christiansen K H, Burton C H
Cranfield University, Cranfield, Bedford MK43 OAL, UK.
Prev Vet Med. 2007 Apr 16;79(1):32-45. doi: 10.1016/j.prevetmed.2006.11.007. Epub 2007 Jan 3.
Escherichia coli O157:H7 persists in being a threat to food safety. The mechanisms behind the spread of E. coli O157:H7 on the farm are complex and poorly understood. The objective of this study was to apply a Monte Carlo model, constructed to simulate the propagation of E. coli O157:H7 in cattle and sheep on the farm, to both test the effect of different interventions on the risk of animals carrying E. coli O157:H7 to the abattoir and to develop understanding of the underlying processes, including the identification of areas that could benefit from further research. An overview of the model including key assumptions is given. The output statistics from batches of 100 runs of the model were collected. From the model output, a cumulative frequency distribution of the prevalence and specific shedding level for the groups of cattle or sheep being sent to the abattoir were generated. Stochastic dominance was used to compare the results of the model outputs. Using the shorthand that "risk" means the likelihood of carrying E. coli O157:H7 to the abattoir, key conclusions from the study included: mixing sheep and cattle increases the risk in both groups; merging groups of animals of the same species into larger groups increases the risk substantially; increasing stocking density increases the risk independently of group size; decreasing the group size decreases the E. coli O157:H7 prevalence independently of stocking density; a very high level of barn hygiene reduces the risk; a shorter time between spreading farmyard manure and grazing and an increased background level of E. coli O157:H7 in the model increases the risk. The background level could be influenced by the presence of wild animals carrying the organism. The parameters to which the model is most sensitive are those related to transmission from grass and enclosures to animals, pathogen survival on grass, in slurry and in barns and contact between animals.
大肠杆菌O157:H7仍然是食品安全的一大威胁。大肠杆菌O157:H7在农场传播的机制复杂且鲜为人知。本研究的目的是应用一个蒙特卡洛模型,该模型构建用于模拟大肠杆菌O157:H7在农场牛和羊中的传播,以测试不同干预措施对动物携带大肠杆菌O157:H7进入屠宰场风险的影响,并增进对潜在过程的理解,包括确定可从进一步研究中受益的领域。给出了该模型的概述,包括关键假设。收集了该模型100次运行批次的输出统计数据。根据模型输出,生成了送往屠宰场的牛或羊群体的患病率和特定排泄水平的累积频率分布。使用随机优势来比较模型输出结果。用“风险”表示携带大肠杆菌O157:H7进入屠宰场的可能性这一简写方式,该研究的主要结论包括:牛羊混养会增加两组的风险;将同一物种的动物群体合并成更大的群体,风险会大幅增加;增加饲养密度会独立于群体规模增加风险;减小群体规模会独立于饲养密度降低大肠杆菌O157:H7的患病率;非常高的畜舍卫生水平会降低风险;在农场施肥和放牧之间的时间缩短以及模型中大肠杆菌O157:H7的背景水平增加会增加风险。背景水平可能受携带该病菌的野生动物存在的影响。该模型最敏感的参数是那些与从草地和围栏到动物的传播、病原体在草地上、粪便中和畜舍中的存活以及动物之间的接触有关的参数。