Center for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States.
Center for Outcomes Research and Epidemiology, Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, United States.
Prev Vet Med. 2024 Jun;227:106210. doi: 10.1016/j.prevetmed.2024.106210. Epub 2024 Apr 16.
Though contact networks are important for describing the dynamics for disease transmission and intervention applications, individual animal contact and barriers between animal populations, such as fences, are not often utilized in the construction of these models. The objective of this study was to use contact network analysis to quantify contacts within two confined pens of feedlot cattle and the shared "fenceline" area between the pens at varying temporal resolutions and contact duration to better inform the construction of network-based disease transmission models for cattle within confined-housing systems. Two neighboring pens of feedlot steers were tagged with Real-Time Location System (RTLS) tags. Within-pen contacts were defined with a spatial threshold (SpTh) of 0.71 m and a minimum contact duration (MCD) of either 10 seconds (10 s), 30 seconds (30 s), or 60 seconds (60 s). For the fenceline network location readings were included within an area extending from 1 m on either side of the shared fence. "Fenceline" contacts could only occur between a steer from each pen. Static, undirected, weighted contact networks for within-pen networks and the between-pen network were generated for the full study duration and for daily (24-h), 6-h period, and hourly networks to better assess network heterogeneity. For the full study duration network, the two within-pen networks were densely homogenous. The within-pen networks showed more heterogeneity when smaller timescales (6-h period and hourly) were applied. When contacts were defined with a MCD of 30 s or 60 s, 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. Cosine similarity was moderate and stable across days for within pen networks. Of the 90 total tagged steers between the two pens, 86 steers (46 steers from Pen 2 and 40 steers from Pen 3) produced at least one contact across the shared fenceline. The total network density for the network created across the shared fenceline between the two pens was 17%, with few contacts at shorter timescales and for MCD of 30 s or 60 s. Overall, the contact networks created here from high-resolution spatial and temporal contact observation data provide estimates for a contact network within commercial US feedlot pens and the contact network created between two neighboring pens of cattle. These networks can be used to better inform pathogen transmission models on social contact networks.
虽然接触网络对于描述疾病传播的动态和干预应用非常重要,但个体动物的接触以及动物种群之间的障碍(如围栏)在这些模型的构建中并不经常被利用。本研究的目的是使用接触网络分析来量化两个封闭牛栏内的接触情况,以及牛栏之间共享的“围栏线”区域的接触情况,并在不同的时间分辨率和接触持续时间下进行分析,以便更好地为封闭饲养系统中的牛群构建基于网络的疾病传播模型。两个相邻的育肥场牛栏中的牛被贴上了实时定位系统(RTLS)标签。在牛栏内的接触被定义为空间阈值(SpTh)为 0.71 米,最小接触持续时间(MCD)为 10 秒(10 秒)、30 秒(30 秒)或 60 秒(60 秒)。对于围栏线网络,位置读数仅包括在共享围栏每侧 1 米范围内的区域。“围栏线”接触只能发生在两个围栏中的一头牛之间。在整个研究期间,为整个研究期间生成了静态、无向、加权的牛栏内网络和牛栏间网络,以及每日(24 小时)、6 小时和每小时网络,以更好地评估网络异质性。对于整个研究期间的网络,两个牛栏内网络都是密集同质的。当应用更小的时间尺度(6 小时和每小时)时,牛栏内网络显示出更多的异质性。当 MCD 为 30 秒或 60 秒时,每个网络中观察到的总接触次数减少,这表明我们网络中观察到的大多数接触可能是短暂的经过性接触。在牛栏内网络中,余弦相似度在几天内是中等且稳定的。在这两个牛栏之间的 90 头被标记的牛中,86 头牛(2 号牛栏 46 头,3 号牛栏 40 头)在共享围栏线上产生了至少一次接触。在两个牛栏之间共享围栏线上创建的总网络密度为 17%,在较短的时间尺度和 MCD 为 30 秒或 60 秒时,接触较少。总的来说,从高分辨率的空间和时间接触观察数据创建的接触网络提供了美国商业育肥场牛栏内的接触网络和两个相邻牛栏之间的接触网络的估计值。这些网络可以更好地为社会接触网络上的病原体传播模型提供信息。