Suppr超能文献

利用死亡率数据早期检测荷兰古典猪瘟。

Using mortality data for early detection of Classical Swine Fever in The Netherlands.

机构信息

Department of Epidemiology, Crisis & Diagnostics, Central Veterinary Institute of Wageningen UR, Lelystad, The Netherlands.

出版信息

Prev Vet Med. 2011 Apr 1;99(1):38-47. doi: 10.1016/j.prevetmed.2010.10.008.

Abstract

Early detection of the introduction of an infectious livestock disease is of great importance to limit the potential extent of an outbreak. Classical Swine Fever (CSF) often causes non-specific clinical signs, which can take considerable time to be detected. Currently, the disease can be detected by three main routes, that are all triggered by clinical signs. To improve the early detection of CSF an additional program, based on mortality data, aims to routinely perform PCR tests on ear notch samples from herds with a high(er) mortality. To assess the effectiveness of this new early detection system, we have developed a stochastic model that describes the virus transmission within a pig herd, the development of disease in infected animals and the different early detection programs. As virus transmission and mortality (by CSF and by other causes) are different for finishing pigs, piglets and sows, a distinction is made between these pig categories. The model is applied to an extensive database that contains all unique pig herds in The Netherlands, their herd sizes and their mortality reports over the CSF-free period 2001-2005. Results from the simulations suggest that the new early detection system is not effective in piglet sections, due to the high mortality from non-CSF causes, nor in sow sections, due to the low CSF-mortality. In finishing herds, the model predicts that the new early detection system can improve the detection time by two days, from 38 (27-53) days to 36 (24-51) days after virus introduction, when assuming a moderately virulent virus strain causing a 50% CSF mortality. For this result up to 5 ear notch samples per herd from 8 (0-13) finishing herds must be tested every workday. Detecting a source herd two days earlier could considerably reduce the number of initially infected herds. However, considering the variation in outcome and the uncertainty in some model assumptions, this two-day gain in detection time is too small to demonstrate a substantial effect of the new early detection system based on mortality data. But when the alertness of herd-owners and veterinarians diminishes during long CSF-free periods, the new early detection system might gain in effectiveness.

摘要

早期发现传染性牲畜疾病对于限制疫情的潜在范围非常重要。经典猪瘟(CSF)通常会引起非特异性临床症状,这可能需要相当长的时间才能被发现。目前,该疾病可以通过三种主要途径进行检测,这些途径都是通过临床症状触发的。为了提高 CSF 的早期检测,一个额外的计划旨在对死亡率较高的畜群的耳缺口样本进行常规 PCR 检测。为了评估这种新的早期检测系统的有效性,我们开发了一个随机模型,该模型描述了病毒在猪群中的传播、受感染动物中疾病的发展以及不同的早期检测计划。由于育肥猪、仔猪和母猪的病毒传播和死亡率(由 CSF 和其他原因引起)不同,因此对这些猪类进行了区分。该模型应用于一个广泛的数据库,该数据库包含荷兰所有独特的猪群及其畜群规模以及在 CSF 无疫期间(2001-2005 年)的死亡率报告。模拟结果表明,由于非 CSF 原因导致的高死亡率,新的早期检测系统在仔猪部分无效,也由于 CSF 死亡率低,在母猪部分无效。在育肥猪群中,该模型预测新的早期检测系统可以通过将病毒引入后的检测时间从 38(27-53)天提高到 36(24-51)天来提高检测时间,假设病毒株具有中等毒力,会导致 50%的 CSF 死亡率。为了达到这一结果,每个工作日必须对每个畜群的 8 个(0-13 个)育肥猪群进行 5 个耳缺口样本的检测。提前两天检测到源头畜群可以大大减少最初感染的畜群数量。但是,考虑到结果的变化以及模型某些假设的不确定性,这种检测时间的两天提高太小,无法基于死亡率数据证明新的早期检测系统的实质性效果。但是,当 herd-owners 和兽医在 CSF 无疫期间的警惕性降低时,新的早期检测系统可能会变得更加有效。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验