作为遗传改良和年龄隔离的一部分,猪在部位之间的运输经常发生。然而,如果管理不当,缺乏运输生物安全可能会带来灾难性的影响,因为疾病的传播迫在眉睫。然而,缺乏对中西部猪系统内车辆运动趋势的全面研究。在这项研究中,我们的目的是描述和表征一个代表现代养猪生产的大型中西部猪系统内的车辆运动模式,以了解运动趋势和生物安全合规性的代理,并确定可能导致传染病传播风险较高的潜在危险行为.地理定位跟踪设备每5分钟记录一次生产系统中卡车和拖车子集的车辆移动,每次跟踪进入2019年1月至2020年12月之间的地标,在COVID-19大流行之前和期间。我们描述了该公司控制的12辆车的6,213条运输记录。总的来说,研究期间包括114个预定义的地标,代表5类农场和卡车清洗设施。结果显示,卡车完成了大部分(76.4%,2,111/2,762)记录的运动。传入运动的季节性分布在不同年份相似(P>0.05),虽然2019年冬季和夏季季节显示,播种农场的到来运动比其他任何季节都要高,Year,或生产类型(P<0.05)。超过一半的内移记录发生在母猪养殖场的三合会内,断奶上市阶段,和卡车清洗设施。总的来说,2020年在每个地标上花费的时间比2019年增加了9.08%,没有季节性亮点,但在卡车清洗设施上花费的时间明显高于任何其他类型的地标。网络分析显示,在网络中具有可识别集群的农场之间具有高度连通性。此外,与2019年相比,我们观察到2020年的连通性下降,大多数网络参数值都表明了这一点。需要进一步的网络分析,以了解其对疾病传播和控制的影响。然而,本研究报告的运动趋势的描述和量化提供了可能成为针对传染病监测和控制的基础的发现。
Transport of pigs between sites occurs frequently as part of genetic improvement and age segregation. However, a lack of transport biosecurity could have catastrophic implications if not managed properly as disease spread would be imminent. However, there is a lack of a comprehensive study of vehicle movement trends within swine systems in the
Midwest. In this study, we aimed to describe and characterize vehicle movement patterns within one large
Midwest swine system representative of modern pig production to understand movement trends and proxies for biosecurity compliance and identify potential risky behaviors that may result in a higher risk for infectious disease spread. Geolocation tracking devices recorded vehicle movements of a subset of trucks and trailers from a production system every 5 min and every time tracks entered a landmark between January 2019 and December 2020, before and during the COVID-19 pandemic. We described 6,213 transport records from 12 vehicles controlled by the company. In total, 114 predefined landmarks were included during the study period, representing 5 categories of farms and truck wash facilities. The results showed that trucks completed the majority (76.4%, 2,111/2,762) of the recorded movements. The seasonal distribution of incoming movements was similar across years (P > 0.05), while the 2019 winter and summer seasons showed higher incoming movements to sow farms than any other season, year, or production type (P < 0.05). More than half of the in-movements recorded occurred within the triad of sow farms, wean-to-market stage, and truck wash facilities. Overall, time spent at each landmark was 9.08% higher in 2020 than in 2019, without seasonal highlights, but with a notably higher time spent at truck wash facilities than any other type of landmark. Network analyses showed high connectivity among farms with identifiable clusters in the network. Furthermore, we observed a decrease in connectivity in 2020 compared with 2019, as indicated by the majority of network parameter values. Further network analysis will be needed to understand its impact on disease spread and control. However, the description and quantification of movement trends reported in this study provide findings that might be the basis for targeting infectious disease surveillance and control.