Suppr超能文献

探索安大略省猪群中整个胴体屠宰场报废数据、非疾病因素与疾病爆发之间的关系(2001 - 2007年)。

Exploring relationships between whole carcass condemnation abattoir data, non-disease factors and disease outbreaks in swine herds in Ontario (2001-2007).

作者信息

Thomas-Bachli Andrea L, Pearl David L, Friendship Robert M, Berke Olaf

机构信息

Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.

出版信息

BMC Res Notes. 2014 Mar 28;7:185. doi: 10.1186/1756-0500-7-185.

Abstract

BACKGROUND

Improving upon traditional animal disease surveillance systems may allow more rapid detection of disease outbreaks in animal populations. In Ontario, between the years 2001 - 2007, widespread outbreaks of several diseases caused major impacts to the swine industry. This study was undertaken to investigate whether whole carcass condemnation data of market pigs from provincial abattoirs from 2001 - 2007 could have provided useful information for disease surveillance of Ontario swine. The objective was to examine the suitability of these data for detection of disease outbreaks using multi-level models and spatial scan statistics. We investigated the ability of these data to provide spatially-relevant surveillance information by determining the approximate distance pigs are shipped from farm to provincial abattoirs in the province, and explored potentially biasing non-disease factors within these data.

RESULTS

Provincially-inspected abattoirs in Ontario were found to be located in close proximity to the hog farms of origin. The fall season and increasing abattoir capacity were associated with a decrease in condemnation rates. Condemnation rates varied across agricultural regions by year, and some regions showed yearly trends consistent with the timing of emergence of new disease strains that affected the Ontario swine population. Scan statistics identified stable clusters of condemnations in space that may have represented stable underlying factors influencing condemnations. The temporal scans detected the most likely cluster of high condemnations during the timeframe in which widespread disease events were documented. One space-time cluster took place during the beginning of the historical disease outbreaks and may have provided an early warning signal within a syndromic surveillance system.

CONCLUSIONS

Spatial disease surveillance methods may be applicable to whole carcass condemnation data collected at provincially-inspected abattoirs in Ontario for disease detection on a local scale. These data could provide useful information within a syndromic disease surveillance system for protecting swine herd health within the province. However, non-disease factors including region, season and abattoir size need to be considered when applying quantitative methods to abattoir data for disease surveillance.

摘要

背景

改进传统动物疾病监测系统可能有助于更快速地检测动物群体中的疾病暴发。在安大略省,2001年至2007年间,几种疾病的广泛暴发对养猪业造成了重大影响。本研究旨在调查2001年至2007年省级屠宰场市场猪的整只胴体判废数据是否能为安大略省猪的疾病监测提供有用信息。目的是使用多层次模型和空间扫描统计方法检验这些数据对疾病暴发检测的适用性。我们通过确定猪从农场运往该省省级屠宰场的大致距离,研究了这些数据提供空间相关监测信息的能力,并探讨了这些数据中潜在的非疾病因素偏差。

结果

发现安大略省经省级检查的屠宰场与生猪养殖场的距离很近。秋季和屠宰场产能增加与判废率下降有关。判废率因年份而异,不同农业地区有所不同,一些地区显示出与影响安大略省猪群的新疾病毒株出现时间一致的年度趋势。扫描统计确定了空间上稳定的判废集群,这些集群可能代表了影响判废的稳定潜在因素。时间扫描在记录到广泛疾病事件的时间段内检测到了最可能的高判废集群。一个时空集群发生在历史疾病暴发开始时,可能在症状监测系统中提供了早期预警信号。

结论

空间疾病监测方法可能适用于安大略省经省级检查的屠宰场收集的整只胴体判废数据,用于局部规模的疾病检测。这些数据可以在症状性疾病监测系统中提供有用信息,以保护该省猪群的健康。然而,在将定量方法应用于屠宰场数据进行疾病监测时,需要考虑包括地区、季节和屠宰场规模在内的非疾病因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验