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利用个体模型控制牛群中分枝杆菌感染的传播途径。

Use of an Individual-based Model to Control Transmission Pathways of Mycobacterium avium Subsp. paratuberculosis Infection in Cattle Herds.

机构信息

Department of Population Medicine and Diagnostic Sciences, Cornell University, College of Veterinary Medicine, Tower Road, Ithaca, New York, 14853, United States of America.

Department of Pathobiology, University of Illinois, College of Veterinary Medicine, Urbana, Illinois, 61802, United States of America.

出版信息

Sci Rep. 2017 Sep 19;7(1):11845. doi: 10.1038/s41598-017-12078-z.

Abstract

Johne's disease (JD) is a chronic enteric disease in cattle caused by Mycobacterium avian subsp. paratuberculosis (MAP). Eradicating JD is a difficult task due to the long incubation period of MAP, inefficient diagnostic tests, and delayed clinical signs. Effective control strategies can help farmers to reduce prevalence, but those most acceptable to farmers combine specific information about lactation performance and testing results, which existing models do not provide. This paper presents an individual-based model of MAP infection dynamics and assesses the relative performance of the applied alternative control strategies. The base dairy herd model included the daily life events of a dairy cow and reflects several current dairy management processes. We then integrated MAP infection dynamics into the model. The model adopted four different test-based control strategies based on risk-based culling decisions and three hygiene scenarios. The model tracked the source of each infection and quantified the efficacy of each control strategy in reducing the risks of different transmission routes. The results suggest that risk-based culling can reduce prevalence compared with no control, but cannot eliminate the infection. Overall, this work provides not only a valuable tool to investigate MAP transmission dynamics but also offers adaptability to model similar infectious diseases.

摘要

约翰氏病(JD)是一种由鸟分枝杆菌副结核亚种(MAP)引起的牛慢性肠病。由于 MAP 的潜伏期长、诊断测试效率低下以及临床症状出现延迟,根除 JD 是一项艰巨的任务。有效的控制策略可以帮助农民降低发病率,但农民最能接受的策略是将特定的泌乳性能信息和检测结果结合起来,而现有的模型并不能提供这些信息。本文提出了一个基于个体的 MAP 感染动力学模型,并评估了所应用的替代控制策略的相对性能。基础奶牛群模型包括奶牛的日常生命事件,并反映了几种当前的奶牛管理流程。然后,我们将 MAP 感染动力学纳入模型中。该模型采用了基于风险的淘汰决策和三种卫生学方案的四种不同的基于检测的控制策略。该模型跟踪了每个感染的来源,并量化了每种控制策略在降低不同传播途径风险方面的效果。结果表明,基于风险的淘汰可以降低与无控制相比的流行率,但不能消除感染。总的来说,这项工作不仅提供了一个有价值的工具来研究 MAP 传播动力学,而且还具有适应类似传染病模型的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c42d/5605505/ab906db230ef/41598_2017_12078_Fig2_HTML.jpg

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