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Response to an emerging vector-borne disease: Surveillance and preparedness for Schmallenberg virus

机译:对新兴媒介传播疾病的反应:Schmallenberg病毒的监测和准备

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Surveillance for new emerging animal diseases from a European perspective is complicated by the non-harmonised approach across Member States for data capture, recording livestock populations and case definitions. In the summer of 2011, a new vector-borne Orthobunyavirus emerged in Northern Europe and for the first time, a coordinated approach to horizon scanning, risk communication, data and diagnostic test sharing allowed EU Member States to develop early predictions of the disease, its impact and risk management options. There are many different systems in place across the EU for syndromic and scanning surveillance and the differences in these systems have presented epidemiologists and risk assessors with concerns about their combined use in early identification of an emerging disease. The emergence of a new disease always will raise challenging issues around lack of capability and lack of knowledge; however, Schmallenberg virus (SBV) gave veterinary authorities an additional complex problem: the infection caused few clinical signs in adult animals, with no indication of the possible source and little evidence about its spread or means of transmission. This paper documents the different systems in place in some of the countries (Germany and the Netherlands) which detected disease initially and predicted its spread (to the UK) and how information sharing helped to inform early warning and risk assessment for Member States. Microarray technology was used to identify SBV as a new pathogen and data from the automated cattle milking systems coupled with farmer-derived data on reporting non-specific clinical signs gave the first indications of a widespread issue while the UK used meteorological modelling to map disease incursion. The coordinating role of both EFSA and the European Commission were vital as are the opportunities presented by web-based publishing for disseminating information to industry and the public. The future of detecting emerging disease looks more positive in the light of this combined approach in the EU. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.
机译:从欧洲的角度对新出现的动物疾病进行监测的过程由于成员国之间采用非统一方法进行数据采集,记录牲畜种群和病例定义而变得异常复杂。 2011年夏季,北欧出现了一种新的媒介传播的正支原体病毒,这是首次,地平线,扫描,风险交流,数据和诊断测试共享的协调方法使欧盟成员国能够对该疾病进行早期预测,影响和风险管理选项。欧盟范围内有许多用于症状和扫描监测的不同系统,这些系统的差异使流行病学家和风险评估人员担心它们在早期发现新疾病中的综合使用。新疾病的出现总是会引起缺乏能力和缺乏知识的挑战性问题。然而,Schmallenberg病毒(SBV)给兽医当局带来了另外一个复杂的问题:这种感染在成年动物中几乎没有引起临床体征,没有迹象表明可能的来源,也没有关于其传播或传播途径的证据。本文记录了一些国家(德国和荷兰)采用的不同系统,这些系统最初检测出疾病并预测了疾病的蔓延(向英国),以及信息共享如何帮助会员国进行预警和风险评估。使用微阵列技术将SBV鉴定为新病原体,自动牛挤奶系统的数据与农民报告非特异性临床症状的数据相结合,首次表明了广泛的问题,而英国则使用气象模型来绘制疾病入侵图。 。 EFSA和欧盟委员会的协调作用至关重要,网络发布为企业和公众传播信息提供的机会也至关重要。根据欧盟的这种综合方法,发现新兴疾病的前景看起来更加乐观。官方版权(C)2014,Elsevier B.V.保留所有权利。

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