Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health, University of Veterinary Medicine, Hannover, Germany.
Zoonoses Public Health. 2015 Feb;62(1):61-74. doi: 10.1111/zph.12120. Epub 2014 Apr 9.
Although 65% of recent major disease outbreaks throughout the world have a zoonotic origin, there is still a sharp division among the disciplines into the human and animal health sectors. In the last few decades, a global integrative concept, often referred to as 'One Health', has been strongly endorsed. Surveillance and monitoring efforts are major components for effective disease prevention and control. As human health and animal health are inextricably linked, it is assumed that a cross-sectoral data interpretation of zoonotic disease information will improve their prevention, prediction and control. To provide an overview of existing systems throughout the world which integrate information from humans and animals on zoonotic diseases, a literature review was conducted. Twenty projects were identified and described regarding their concepts and realization. They all vary widely depending on their surveillance purpose, their structure and the source of information they use. What they have in common is that they quite often use data which have already been collected for another purpose. Therefore, the challenges of how to make use of such secondary data are of great interest.
尽管全球最近 65%的重大疾病爆发都具有动物源性病源,但各学科之间仍然存在着明显的分歧,分为人类健康和动物健康两个领域。在过去几十年中,一种被称为“同一健康”的全球综合概念得到了大力支持。监测和监控工作是有效疾病预防和控制的主要组成部分。由于人类健康和动物健康紧密相连,因此人们认为对动物源性病信息进行跨部门数据解释将有助于预防、预测和控制疾病。为了全面了解全球整合人类和动物有关动物源疾病信息的现有系统,对相关文献进行了回顾。确定了 20 个项目,并对其概念和实现进行了描述。它们的监测目的、结构和使用的信息来源各不相同。它们的共同点是,它们经常使用已经为其他目的收集的数据。因此,如何利用这些二手数据是一个非常重要的问题。