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法国牛结核病生前监测系统各组成部分对其总体敏感性的相对贡献。

Relative Contribution of Each Component of the French Ante-Mortem Surveillance System for Bovine Tuberculosis in Its Overall Sensitivity.

作者信息

Guétin-Poirier Valentine, Rivière Julie, Dufour Barbara

机构信息

Anses, Ecole Nationale Vétérinaire d'Alfort, Laboratoire de Santé Animale, USC EPIMAI, F-94700 Maisons-Alfort, France.

出版信息

Microorganisms. 2021 Mar 19;9(3):643. doi: 10.3390/microorganisms9030643.

Abstract

The aim of this study was to assess the contribution to the sensitivity of the French ante-mortem surveillance system for bovine tuberculosis in cattle of each of the system's components (periodic screening, epidemiological investigations, and screening exchanged animals), on a local scale defined by administrative areas. These components were individually assessed in previous studies by scenario tree modeling. We used scenario tree modeling at the herd level and combined the results to evaluate the overall sensitivity of the ante-mortem surveillance system. The probability to detect at least one infected herd was consistent with the location of the outbreaks detected in 2016. In areas with a high apparent incidence, the probability of an infected herd to be detected was satisfactory (for an infected herd there was a 100% probability to be detected over a two-year period). Periodic screening was the most important component for the overall sensitivity in infected areas. In other areas, where periodic screening had stopped, tracing-on epidemiological investigation was the most sensitive component of the system. Screening exchanged animals had a negligible part in the overall sensitivity of the surveillance system.

摘要

本研究的目的是在行政区定义的局部范围内,评估法国牛结核病生前监测系统各组成部分(定期筛查、流行病学调查和筛查交易动物)对该系统在牛群中敏感性的贡献。这些组成部分在之前的研究中通过情景树模型进行了单独评估。我们在畜群层面使用情景树模型,并结合结果来评估生前监测系统的总体敏感性。检测到至少一个感染畜群的概率与2016年检测到的疫情地点一致。在表观发病率高的地区,检测到感染畜群的概率令人满意(对于一个感染畜群,在两年期间有100%的概率被检测到)。定期筛查是感染地区总体敏感性的最重要组成部分。在其他已停止定期筛查的地区,基于流行病学调查的追踪是该系统最敏感的组成部分。筛查交易动物在监测系统的总体敏感性中所占份额可忽略不计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a618/8003711/d088cd31e3d3/microorganisms-09-00643-g0A1.jpg

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