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对一种新出现的媒介传播疾病的应对:施马伦贝格病毒的监测与防范

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

作者信息

Roberts H C, Elbers A R W, Conraths F J, Holsteg M, Hoereth-Boentgen D, Gethmann J, van Schaik G

机构信息

Animal Health and Veterinary Laboratories Agency, Nobel House, 17 Smith Square, London SW1P 3JR, UK.

Central Veterinary Institute, Part of Wageningen UR, Houtribweg 39, 8221 RA Lelystad, The Netherlands.

出版信息

Prev Vet Med. 2014 Oct 15;116(4):341-9. doi: 10.1016/j.prevetmed.2014.08.020. Epub 2014 Sep 10.

Abstract

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.

摘要

从欧洲的角度来看,对新出现的动物疾病进行监测面临着诸多复杂问题,各成员国在数据采集、牲畜数量记录和病例定义方面的方法并不统一。2011年夏季,一种新的媒介传播正布尼亚病毒在北欧出现,首次采用了协调一致的方法进行前瞻性扫描、风险沟通、数据及诊断测试共享,这使得欧盟成员国能够对该疾病、其影响及风险管理选项做出早期预测。欧盟各地有许多不同的症状监测和扫描监测系统,这些系统的差异让流行病学家和风险评估人员担心在早期识别新出现疾病时综合使用这些系统会出现问题。新疾病的出现总会带来能力不足和知识匮乏等具有挑战性的问题;然而, Schmallenberg病毒(SBV)给兽医当局带来了一个额外的复杂问题:该感染在成年动物中几乎没有引起临床症状,没有指明可能的来源,也几乎没有关于其传播或传播途径的证据。本文记录了最初检测到该疾病并预测其传播(至英国)的一些国家(德国和荷兰)所采用的不同系统,以及信息共享如何有助于为成员国提供早期预警和风险评估。利用微阵列技术将SBV鉴定为一种新病原体,来自自动挤奶系统的数据与农民报告的非特异性临床症状数据首次显示出一个广泛存在的问题,而英国则利用气象模型绘制疾病入侵情况。欧洲食品安全局(EFSA)和欧盟委员会的协调作用至关重要,基于网络发布信息以向行业和公众传播的机会也同样重要。鉴于欧盟采用的这种综合方法,未来检测新出现疾病的前景看起来更为乐观。

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