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一种用于研究牛只移动对布鲁氏菌病 BTV-8 在比利时传播影响的动态时空模型。

A dynamic spatio-temporal model to investigate the effect of cattle movements on the spread of bluetongue BTV-8 in Belgium.

机构信息

Interuniversity Institute for Biostatistics and statistical Bioinformatics, Universiteit Hasselt, Hasselt, Belgium.

出版信息

PLoS One. 2013 Nov 11;8(11):e78591. doi: 10.1371/journal.pone.0078591. eCollection 2013.

Abstract

When Bluetongue Virus Serotype 8 (BTV-8) was first detected in Northern Europe in 2006, several guidelines were immediately put into place with the goal to protect farms and stop the spreading of the disease. This however did not prevent further rapid spread of BTV-8 across Northern Europe. Using information on the 2006 Bluetongue outbreak in cattle farms in Belgium, a spatio-temporal transmission model was formulated. The model quantifies the local transmission of the disease between farms within a municipality, the short-distance transmission between farms across neighbouring municipalities and the transmission as a result of cattle movement. Different municipality-level covariates such as farm density, land composition variables, temperature and precipitation, were assessed as possibly influencing each component of the transmission process. Results showed a significant influence of the different covariates in each model component, particularly the significant effect of temperature and precipitation values in the number of infected farms. The model which allowed us to predict the dynamic spreading of BTV for different movement restriction scenarios, also affirmed the significant impact of cattle movement in the 2006 BTV outbreak pattern. Simulation results further showed the importance of considering the size of restriction zones in the formulation of guidelines for animal infectious diseases.

摘要

2006 年,首次在北欧发现 8 型蓝舌病毒(BTV-8)后,立即制定了几项准则,以保护农场并阻止疾病传播。然而,这并没有阻止 BTV-8 在北欧的进一步快速传播。利用比利时 2006 年牛场蓝舌病暴发的信息,制定了时空传播模型。该模型量化了市际农场之间的本地疾病传播、跨相邻市际农场的短距离传播以及牛群移动造成的传播。评估了不同市级别的协变量,如农场密度、土地组成变量、温度和降水,这些协变量可能影响传播过程的各个环节。结果表明,不同协变量对每个模型环节都有显著影响,特别是温度和降水值对感染农场数量的显著影响。该模型允许我们预测不同移动限制情景下 BTV 的动态传播,也证实了牛群移动在 2006 年 BTV 暴发模式中的重大影响。模拟结果进一步表明,在制定动物传染病防控指南时,考虑限制区域的大小非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/742c/3823847/251c62aeec26/pone.0078591.g001.jpg

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