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利用国家牛群登记系统估算传染病流行期间的超额死亡率:应用于 8 型蓝舌病爆发。

Using the National Cattle Register to estimate the excess mortality during an epidemic: application to an outbreak of Bluetongue serotype 8.

机构信息

Epidemiology Unit, French Agency for Food, Environmental and Occupational Health & Safety (Anses), 31, avenue Tony Garnier, F69364 Lyon Cedex 07, France.

出版信息

Epidemics. 2010 Dec;2(4):207-14. doi: 10.1016/j.epidem.2010.10.002. Epub 2010 Oct 15.

Abstract

National Cattle Registers have been widely used to examine animal movements and their role in disease transmission, but less frequently for other epidemiological applications. Our study shows how routinely collected identification data can be used to evaluate the population impact of an epidemic in cattle and to derive an indirect estimate of the associated mortality. We adapted a method developed by Human health agencies, based on the modelling of historical mortality fluctuations, to analyze the evolution of mortality in a cattle population subjected to a Bluetongue serotype 8 (BT8) outbreak. Between 01/07/2007 and 01/07/2008, 21,017 cattle died in the considered population whereas 16,691 deaths were expected according to the model. 43% of the 4326 extra deaths were found in calves less than 7 days of age, but excess mortality was found in each age group. The temporal distribution of extra-deaths, described at a weekly scale, suggests that they were related to the BT8 epidemic. The presented method could be an appreciable tool for estimating the global burden of epidemics since it is based on data already routinely collected in each European Member State. This study was conducted retrospectively but considering the promptness of the notification system, the method could be used to monitor the evolution of epidemics in near-real time.

摘要

国家牛只登记系统被广泛用于研究动物的活动及其在疾病传播中的作用,但在其他流行病学应用中则较少使用。本研究展示了如何利用常规收集的标识数据评估牛只疫病的流行对人群的影响,并得出相关死亡率的间接估计。我们根据人类卫生机构开发的方法,基于对历史死亡率波动的建模,对一个受蓝舌病 8 型(BT8)暴发影响的牛群的死亡率演变进行了分析。在 2007 年 7 月 1 日至 2008 年 7 月 1 日期间,研究人群中有 21,017 头牛死亡,而根据模型预测,应有 16,691 头牛死亡。在 4326 例额外死亡中,43%发生在小于 7 天的小牛中,但在每个年龄组都发现了超额死亡率。额外死亡的时间分布(每周规模)表明它们与 BT8 疫情有关。由于该方法基于每个欧洲成员国已经常规收集的数据,因此可能成为评估疫情全球负担的一种有价值的工具。本研究是回顾性进行的,但考虑到通知系统的及时性,该方法可用于实时监测疫情的演变。

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