ABSTRACT In the stages of poultry slaughter and processing, the individuals infected with Campylobacter would pollute the environment which, in turn, would pollute the uninfected individuals, leading to cross-contamination and increasing risks. We employed the Kolmogorov–Smirnov test, indirectly estimating the coefficients by searching the large-scale coefficient space with genetic algorithm, trying to make the model distribution fit the actual distribution as much as possible by this algorithm and further by gradient descent. Finally, we successfully obtained a set of optimal coefficients, quantitatively making clearer the nature of cross-contamination, and thereupon proposed corresponding suggestions for improving the slaughter and process operations.

中文翻译：

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改进系数优化的弯曲杆菌交叉污染风险评估模型

摘要 在家禽屠宰和加工阶段，弯曲杆菌感染者会污染环境，进而污染未感染者，导致交叉污染，增加风险。我们采用Kolmogorov-Smirnov检验，通过遗传算法搜索大规模系数空间来间接估计系数，试图通过该算法进一步使模型分布尽可能地符合实际分布，并进一步通过梯度下降。最后，我们成功地得到了一组最优系数，定量地明确了交叉污染的性质，从而提出了相应的改进屠宰和工艺操作的建议。