Predictive models for the effect of environmental factors on the abundance of Vibrio parahaemolyticus in oyster farms in Taiwan using extreme gradient boosting

副溶血性弧菌 牡蛎 海水 太平洋牡蛎 沉积物 生物 盐度 环境科学 人口 鸵鸟科 牡蛎 渔业 生态学 贝类 水生动物 遗传学 古生物学 人口学 社会学 细菌
作者
Nodali Ndraha,Hsin‐I Hsiao,Yi‐Zeng Hsieh,Abani K. Pradhan
出处
期刊:Food Control [Elsevier BV]
卷期号:130: 108353-108353 被引量:18
标识
DOI:10.1016/j.foodcont.2021.108353
摘要

This study sought to investigate the effects of environmental parameters on the variation of V. parahaemolyticus in the oyster culture environment in Taiwan. Environmental factors were used to develop predictive models for V. parahaemolyticus concentration in oysters, seawater, and sediment by employing the extreme gradient boosting (XGB) machine learning algorithms. The results showed that XGB capable of predicting the concentration of V. parahaemolyticus in the oysters and seawater, but not for sediment. The relative importance variable analysis showed that V. parahaemolyticus concentration in oysters, seawater, and sediment was dominantly influenced by the variation of sea surface temperature (SST). Increasing wind speed within two days before sampling collection could decrease the number of V. parahaemolyticus in oysters and seawater. The population of V. parahaemolyticus in any type of sample was influenced by the acidity (pH) of seawater. However, the salinity only influenced the concentration of this pathogen in the oysters and sediment, but not in seawater. Thus, monitoring and recording these factors would be useful to predict the level of V. parahaemolyticus in the oyster farms in Taiwan. Findings in this study may be useful in managing the safety of oysters at the farm stage and thus allow the prevention of V. parahaemolyticus infections from eating oysters.
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