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Statement on a conceptual framework for bovine tuberculosis

机译:关于牛结核病概念框架的声明

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Control and eradication of bovine tuberculosis (bTB) is a challenge owing to the complex interactions between the pathogen, hosts and local environments. Modelling various bTB situations may lead to improved understanding of the ways in which different factor combinations and interactions influence occurrence, surveillance outcomes and control efforts. A conceptual framework would help to outline, from an epidemiological perspective, which factors influence bTB infection, detection and control, and how they might interact in various European situations. The conceptual framework on bTB described in this statement is built around an anchor model describing the interactions between the most important biological and non‐biological parameters involved in bTB infection, detection and control. The interactions are examined at three levels, corresponding to three ‘units of interest’, in the case of bTB the animal, the herd and the area levels. The conceptual framework is intended to help understand the inputs that should be considered when developing a specific component of the episystem (i.e. the ecological context of the epidemiological problem). It should be able to help both in the generation and interpretation of predictive and analytical models (dealing with a specific component of the framework) designed to answer specific questions regarding bTB. The relationship between the conceptual framework and particular examples related to the force of infection, the non‐biological context and testing of bTB are explained and discussed in the document.
机译:由于病原体,宿主和当地环境之间的复杂相互作用,控制和根除牛结核病是一个挑战。对各种bTB情况进行建模可能会导致人们更好地理解不同因素组合和交互影响发生,监视结果和控制工作的方式。从流行病学的角度来看,一个概念框架将有助于概述哪些因素会影响bTB的感染,检测和控制,以及在欧洲各种情况下它们如何相互作用。此声明中描述的bTB概念框架是围绕一个锚模型构建的,该锚模型描述了bTB感染,检测和控制中最重要的生物学和非生物学参数之间的相互作用。在bTB的情况下,对动物,畜群和区域三级的交互作用进行了三个层次的检查,分别对应三个“兴趣单位”。该概念框架旨在帮助理解开发流行病学系统的特定组成部分(即流行病学问题的生态背景)时应考虑的输入信息。它应该能够帮助生成和解释旨在回答有关bTB特定问题的预测模型和分析模型(应对框架的特定组成部分)。在文档中解释和讨论了概念框架和与感染力,非生物学背景和bTB检测有关的特定示例之间的关系。

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