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动物健康实验室数据的最小数据集,以便在各管辖区内进行整理和分析,以进行监测。

A minimum data set of animal health laboratory data to allow for collation and analysis across jurisdictions for the purpose of surveillance.

机构信息

Canadian Food Inspection Agency, Owen Sound, ON, Canada.

出版信息

Transbound Emerg Dis. 2012 Jun;59(3):264-8. doi: 10.1111/j.1865-1682.2011.01264.x. Epub 2011 Oct 19.

Abstract

A minimum data set consisting of 15 data elements originating from laboratory submissions and results was formulated by a national committee of epidemiologists in Canada for the purposes of disease reporting, disease detection and analysis. The data set consists of both data that are filled out on the submission form as well as the results of the laboratory testing. The elements in the data set are unique identifier, premises identification, date submitted, geographic location, species, farm type, group type, total population of tested species on the farm, number sick, number dead, test(s) performed, disease agent, test result, disease classification by submitter and final laboratory diagnosis. The data set was designed to be concise while allowing for domestic and international disease reporting, effective analysis, including geographic, temporal and prevalence outputs, and syndromic surveillance to enable disease detection. The selected data elements do not identify the producer as specific geographic and nominal information is not included in the data set. The data elements selected, thus, allow for voluntary collaboration and data sharing by avoiding issues associated with privacy legislation.

摘要

一个由加拿大流行病学家组成的国家委员会制定了一个由 15 个数据元素组成的最小数据集,用于疾病报告、疾病检测和分析。该数据集由提交表格上填写的数据以及实验室检测结果组成。数据集中的元素包括唯一标识符、场所标识、提交日期、地理位置、物种、养殖场类型、群体类型、养殖场中受检物种的总数量、患病数量、死亡数量、进行的测试、疾病因子、测试结果、提交者的疾病分类和最终实验室诊断。该数据集旨在简洁的同时,允许进行国内外疾病报告、有效的分析,包括地理、时间和流行率输出,以及综合征监测以实现疾病检测。所选的数据元素不会识别生产者,因为特定的地理和名义信息不包含在数据集中。因此,通过避免与隐私法规相关的问题,所选的数据元素允许自愿合作和数据共享。

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