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以加拿大市场猪的旋毛虫为例,报告无感染模型中监测信息的标准。

Standards for reporting surveillance information in freedom from infection models by example of Trichinella in Canadian market hogs.

机构信息

Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, Canada C1A 4P3.

出版信息

Prev Vet Med. 2013 Aug 1;111(1-2):176-80. doi: 10.1016/j.prevetmed.2013.03.012. Epub 2013 Apr 23.

DOI:10.1016/j.prevetmed.2013.03.012
PMID:23623714
Abstract

Freedom from infection modeling, using scenario trees, has become an established methodology and is well described in the literature. However, standards for organizing and reporting the surveillance information incorporated into such models are less developed. Canada has been routinely testing for Trichinella spiralis in market hogs in federally inspected slaughter plants since the late 1990s. By way of presenting our work on T. spiralis in Canadian hogs, we propose that information in surveillance models be organized in distinct categories, each with specific parameters and values that are thoroughly described and justified. The proposed categories are: (1) definitions for the objectives, (2) initial time period, (3) inputs, (4) data, (5) model settings, (6) outputs, and (7) validation. Having a standardized manner of reporting such studies will facilitate their validation and expedite their evaluation by experts in the field and their use in trade negotiations.

摘要

从感染建模中获得自由,使用情景树,已经成为一种既定的方法,并且在文献中得到了很好的描述。然而,将此类模型中包含的监测信息组织和报告的标准还不够完善。自 20 世纪 90 年代末以来,加拿大一直在联邦检查的屠宰场对市场上的生猪进行旋毛虫检测。通过展示我们在加拿大生猪旋毛虫方面的工作,我们建议将监测模型中的信息组织到不同的类别中,每个类别都具有特定的参数和值,并对其进行了详细的描述和论证。拟议的类别包括:(1)目标定义,(2)初始时间段,(3)输入,(4)数据,(5)模型设置,(6)输出和(7)验证。以标准化的方式报告此类研究将有助于对其进行验证,并加快该领域专家对其进行评估以及在贸易谈判中的使用。

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Standards for reporting surveillance information in freedom from infection models by example of Trichinella in Canadian market hogs.以加拿大市场猪的旋毛虫为例,报告无感染模型中监测信息的标准。
Prev Vet Med. 2013 Aug 1;111(1-2):176-80. doi: 10.1016/j.prevetmed.2013.03.012. Epub 2013 Apr 23.
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