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A descriptive study of on-farm biosecurity and management practices during the incursion of porcine epidemic diarrhea into Canadian swine herds 2014

机译:猪流行性腹泻入侵加拿大猪群期间农场生物安全性和管理措施的描述性研究2014年

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摘要

Porcine epidemic diarrhea virus (PEDV) emerged into Canada in January 2014, primarily affecting sow herds. Subsequent epidemiological analyses suggested contaminated feed was the most likely transmission pathway. The primary objective of this study was to describe general biosecurity and management practices implemented in PEDV-positive sow herds and matched control herds at the time the virus emerged. The secondary objective was to determine if any of these general biosecurity and farm management practices were important in explaining PEDV infection status from January 22, 2014 to March 1, 2014. A case herd was defined as a swine herd with clinical signs and a positive test result for PEDV. A questionnaire was used to a gather 30-day history of herd management practices, animal movements on/off site, feed management practices, semen deliveries and biosecurity practices for case (n = 8) and control (n = 12) herds, primarily located in Ontario. Data was analyzed using descriptive statistics and random forests (RFs). Case herds were larger in size than control herds. Case herds had more animal movements and non-staff movements onto the site. Also, case herds had higher quantities of pigs delivered, feed deliveries and semen deliveries on-site. The biosecurity practices of case herds were considered more rigorous based on herd management, feed deliveries, transportation and truck driver practices than control herds. The RF model found that the most important variables for predicting herd status were related to herd size and feed management variables. Nonetheless, predictive accuracy of the final RF model was 72%.
机译:猪流行性腹泻病毒(PEDV)于2014年1月进入加拿大,主要影响母猪群。随后的流行病学分析表明,污染的饲料是最可能的传播途径。这项研究的主要目的是描述在PEDV阳性母猪群和相匹配的对照牛群在病毒出现时实施的一般生物安全性和管理措施。次要目标是确定从2014年1月22日至2014年3月1日,这些常规生物安全和农场管理措施中的任何一项对于解释PEDV感染状况是否重要。一例猪群定义为具有临床体征和阳性检测结果的猪群PEDV的结果。使用问卷调查表收集了30天历史的牧群管理实践,现场内外动物移动,饲料管理实践,精液分娩和病例(n = 8)和对照(n = 12)群的生物安全实践的历史,主要位于在安大略省。使用描述性统计数据和随机森林(RF)来分析数据。病例群的大小大于对照群。案例群有更多的动物活动和编外人员活动。另外,病例猪场的猪,饲料和精液的交付量更高。基于对畜群的管理,饲料运送,运输和卡车司机的实践,与控制畜群相比,对案例畜群的生物安全措施更为严格。 RF模型发现,用于预测畜群状况的最重要变量与畜群大小和饲料管理变量有关。但是,最终RF模型的预测准确性为72%。

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