Wendt A, Kreienbrock L, Campe A
Department of Biometry, Epidemiology and Information Processing, University of Veterinary Medicine, Hannover, Germany.
Zoonoses Public Health. 2016 Nov;63(7):503-514. doi: 10.1111/zph.12255. Epub 2016 Jan 27.
Zoonotic diseases concern human and animal populations and are transmitted between both humans and animals. Nevertheless, surveillance data on zoonoses are collected separately for the most part in different databases for either humans or animals. Bearing in mind the concept of One Health, it is assumed that a global view of these data might help to prevent and control zoonotic diseases. In following this approach, we wanted to determine which zoonotic data are routinely collected in Germany and whether these data could be integrated in a useful way to improve surveillance. Therefore, we conducted an inventory of the existing data collections and gathered information on possible One Health surveillance areas in Germany by approaching experts through a scoping survey, personal interviews and during a workshop. In matching the information between the status quo for existing data collections and the possible use cases for One Health surveillance, this study revealed that data integration is currently hindered by missing data, missing pathogen information or a lack of timeliness, depending on the surveillance purpose. Therefore, integrating the existing data would require substantial efforts and changes to adapt the collection procedures for routine databases. Nevertheless, during this study, we observed a need for different stakeholders from the human and animal health sectors to share information to improve the surveillance of zoonoses. Therefore, our findings suggest that before the data sets from different databases are integrated for joint analyses, the surveillance could be improved by the sharing of information and knowledge through a collaboration of stakeholders from different sectors and institutions.
人畜共患病涉及人类和动物群体，并在人类和动物之间传播。然而，人畜共患病的监测数据大多分别收集在针对人类或动物的不同数据库中。考虑到“同一健康”的概念，人们认为对这些数据进行全局审视可能有助于预防和控制人畜共患病。按照这种方法，我们想确定德国常规收集哪些人畜共患病数据，以及这些数据是否可以以一种有用的方式整合起来以改进监测。因此，我们通过范围界定调查、个人访谈以及在一次研讨会上与专家交流，对现有数据收集情况进行了清查，并收集了德国可能的“同一健康”监测领域的信息。在将现有数据收集的现状与“同一健康”监测的可能用例进行信息匹配时，本研究发现，根据监测目的，数据整合目前受到数据缺失、病原体信息缺失或缺乏及时性的阻碍。因此，整合现有数据需要付出巨大努力并进行变革，以调整常规数据库的收集程序。尽管如此，在这项研究中，我们观察到人类和动物卫生部门的不同利益相关者需要共享信息，以改善人畜共患病的监测。因此，我们的研究结果表明，在整合来自不同数据库的数据集进行联合分析之前，可以通过不同部门和机构的利益相关者合作，共享信息和知识来改进监测。
