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Online videos indicate human and dog behaviour preceding dog bites and the context in which bites occur

机译:在线视频显示了被狗咬伤之前人和狗的行为以及发生咬伤的环境

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YouTube videos of dog bites present an unexplored opportunity to observe dog bites directly. We recorded the context of bites, bite severity, victim and dog characteristics for 143 videos and for 56 videos we coded human and dog behaviour before the bite. Perceived bite severity was derived from visual aspects of the bite. Associations between bite severity and victim, dog and context characteristics were analysed using a Bayesian hierarchical regression model. Human and dog behaviour before the bite were summarised with descriptive statistics. No significant differences in bite severity were observed between contexts. Only age of the victim was predictive of bite severity: adults were bitten more severely than infants and infants more severely than children. Non-neutral codes describing dog body posture and some displacement and appeasement behaviours increased approximately 20?seconds before the bite and humans made more tactile contacts with dogs 21?seconds before the bite. This analysis can help to improve understanding of context in which bites occur and improve bite prevention by highlighting observable human and dog behaviours occurring before the bite.
机译:YouTube上有关被狗咬伤的视频提供了一种直接观察狗咬伤的未开发机会。我们记录了143部视频的咬伤,咬伤严重程度,受害人和狗的特征,并记录了56部视频,记录了被咬之前人与狗的行为。感觉到的咬伤严重程度是从咬伤的视觉方面得出的。使用贝叶斯层次回归模型分析咬伤严重程度与受害者,狗和环境特征之间的关联。用描述性统计数据总结了被咬之前人和狗的行为。在不同情况下,未观察到咬伤严重程度的显着差异。仅受害人的年龄可以预测被咬的严重程度:成年人被咬的严重程度高于婴儿,婴儿被咬的严重程度高于儿童。在咬人之前,描述狗的身体姿势以及一些位移和app靖行为的非中性代码增加了约20秒钟,而人类在咬人之前21秒钟与狗进行了更多的触觉接触。通过突出显示在咬人之前发生的可观察到的人和狗的行为,该分析可以帮助增进对咬人发生的环境的了解,并改善咬人的预防。

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