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Peer-reviewed veterinary case report

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

Journal:
Preventive veterinary medicine
Year:
2013
Authors:
Vanderstichel, Raphaël et al.
Affiliation:
Department of Health Management · Canada

Plain-English summary

This study discusses how to better organize and report information about testing for Trichinella spiralis, a parasite that can infect pigs, in Canadian market hogs. Since the late 1990s, Canada has been regularly testing these hogs in slaughterhouses to ensure they are free from this infection. The authors suggest that information from these tests should be categorized in a clear way, including definitions, time periods, data used, and results. By having a standardized reporting method, it will be easier for experts to validate and assess these studies, which could also help in trade discussions. The outcome of this work aims to improve the clarity and usefulness of infection surveillance data.

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.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/23623714/