Seger H L, Sanderson M W, White B J, Lanzas C
Center for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA.
Center for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA.
Prev Vet Med. 2025 Feb;235:106409. doi: 10.1016/j.prevetmed.2024.106409. Epub 2024 Dec 12.
Empirical data on livestock contact networks are scarce but digital technologies are increasingly used to characterize animal behavior and describe the dynamics of contact networks. The objective of this study was to use contact network analysis to quantify contacts within three pens of feedlot cattle across three consecutive years at varying temporal resolutions to better inform the construction of network-based disease transmission models for cattle within confined-housing systems. We also aimed to describe the influence of the variation in Real-Time Location System (RTLS) average tag read rates and the effect of increasing minimum contact duration (MCD) on the contact networks of feedlot cattle. Three pens of feedlot steers were tagged with RTLS, one pen in each of three consecutive summers from 2017 to 2019. Contacts were defined with a spatial threshold of 0.71 m and an MCD of either 10, 30, or 60 seconds. Static, undirected, weighted contact networks were created for the full study duration and then split into daily (24-h), 6-h period, and hourly networks to better assess network heterogeneity. For the full study duration time scale, all three networks were found to be densely connected. The networks showed more heterogeneity in network density and clustering coefficient when smaller time scales (6-h period and hourly) were applied. When contacts were defined with a MCD of 30 or 60 seconds, the total number of contacts seen in each network decreased, indicating that most of the contacts observed in our networks may have been transient passing contacts. For example, the total defined contacts for the 2017 native read rate network were 930,843 at 10 s MCD, 95,570 at 30 s MCD, and 19,135 at 60 s MCD. Though the same system was used for all three years, variation in average tag read rate was observed (range: 2.2 readings/min (2018) to 7.4 readings/min (2017)). When the networks were down-scaled from higher average tag read rates to match lower tag read rates, the full study networks maintained similar network density and clustering, though the average edge weight between pairs decreased. Overall, the networks created here from high-resolution spatial and temporal contact observation data provide estimates for a contact network within a commercial US feedlot pen.
关于牲畜接触网络的实证数据稀缺,但数字技术正越来越多地用于描述动物行为和刻画接触网络的动态变化。本研究的目的是运用接触网络分析,以不同的时间分辨率对三个饲养场牛栏内的牛群在连续三年中的接触情况进行量化,从而为封闭式饲养系统内基于网络的牛病传播模型构建提供更充分的信息。我们还旨在描述实时定位系统(RTLS)平均标签读取率的变化以及增加最小接触时长(MCD)对饲养场牛接触网络的影响。2017年至2019年连续三个夏天,在三个饲养场牛栏中各选一栏,给栏中的育肥牛佩戴RTLS标签。接触定义的空间阈值为0.71米,MCD分别为10秒、30秒或60秒。针对整个研究期间创建静态、无向、加权接触网络,然后将其划分为每日(24小时)、6小时时段和每小时的网络,以更好地评估网络异质性。在整个研究期间的时间尺度上,发现所有三个网络都紧密相连。当应用较小的时间尺度(6小时时段和每小时)时,网络在网络密度和聚类系数方面表现出更多的异质性。当接触定义的MCD为30秒或60秒时,每个网络中观察到的接触总数减少,这表明在我们的网络中观察到的大多数接触可能是短暂的路过接触。例如,2017年原始读取率网络在MCD为10秒时定义的接触总数为930,843次,MCD为30秒时为95,570次,MCD为60秒时为19,135次。尽管三年都使用了相同的系统,但观察到平均标签读取率存在变化(范围:2.2次/分钟(2018年)至7.4次/分钟(2017年))。当网络从较高的平均标签读取率下调以匹配较低的标签读取率时,整个研究网络保持了相似的网络密度和聚类,尽管节点对之间的平均边权重有所下降。总体而言,这里从高分辨率空间和时间接触观测数据创建的网络为美国商业饲养场牛栏内的接触网络提供了估计。