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Spatial Dynamics of Bovine Tuberculosis in the Autonomous Community of Madrid Spain (2010–2012)

机译:西班牙马德里自治区牛结核病的空间动态(2010-2012年)

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摘要

Progress in control of bovine tuberculosis (bTB) is often not uniform, usually due to the effect of one or more sometimes unknown epidemiological factors impairing the success of eradication programs. Use of spatial analysis can help to identify clusters of persistence of disease, leading to the identification of these factors thus allowing the implementation of targeted control measures, and may provide some insights of disease transmission, particularly when combined with molecular typing techniques. Here, the spatial dynamics of bTB in a high prevalence region of Spain were assessed during a three year period (2010–2012) using data from the eradication campaigns to detect clusters of positive bTB herds and of those infected with certain Mycobacterium bovis strains (characterized using spoligotyping and VNTR typing). In addition, the within-herd transmission coefficient (β) was estimated in infected herds and its spatial distribution and association with other potential outbreak and herd variables was evaluated. Significant clustering of positive herds was identified in the three years of the study in the same location (“high risk area”). Three spoligotypes (SB0339, SB0121 and SB1142) accounted for >70% of the outbreaks detected in the three years. VNTR subtyping revealed the presence of few but highly prevalent strains within the high risk area, suggesting maintained transmission in the area. The spatial autocorrelation found in the distribution of the estimated within-herd transmission coefficients in herds located within distances <14 km and the results of the spatial regression analysis, support the hypothesis of shared local factors affecting disease transmission in farms located at a close proximity.
机译:牛结核病(bTB)控制的进展通常不统一,通常是由于一种或多种有时不明的流行病学因素影响根除计划的成功所致。使用空间分析可以帮助识别疾病的持久性,从而识别这些因素,从而可以实施针对性的控制措施,并且可以提供一些疾病传播的见解,尤其是与分子分型技术结合使用时。在这里,通过使用根除运动的数据,在三年的时间段(2010-2012年)中评估了西班牙高发地区bTB的空间动态,以检测阳性bTB群和感染了某些牛分枝杆菌菌株的人群(特征在于使用spoligotyping和VNTR输入)。此外,估计了受感染牛群的牛群内传播系数(β),并评估了其空间分布以及与其他潜在暴发和牛群变量的关联。在研究的三年中,在同一位置(“高风险区域”)发现阳性羊群明显聚集。在过去三年中,发现的三种暴发类型(SB0339,SB0121和SB1142)占爆发总数的70%以上。 VNTR亚型分析显示高风险区域内很少但高度流行的菌株的存在,表明该区域保持了传播。在距离小于14 km的牛群中估计的牛群内传播系数的分布中发现的空间自相关性以及空间回归分析的结果,支持了影响附近农场中疾病传播的共享局部因素的假设。

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