Reintjes R, Baumeister H G, Coulombier D
Institute of Public Health North Rhine-Westphalia (lögd), Germany.
Int J Hyg Environ Health. 2001 Mar;203(3):195-9. doi: 10.1078/S1438-4639(04)70028-0.
It is often difficult to detect warning signals on infectious disease outbreaks from raw surveillance data. Data need to be used for a timely generation and distribution of information on the current state of infectious diseases. This offers the opportunity to detect outbreaks and to initiate preventive measures. To improve the surveillance system in North Rhine-Westphalia we have introduced an infectious disease barometer, a simple tool based on weekly notification data. The aim of this tool is not to provide in depth data analysis, but to help to detect clusters or outbreaks. This can be the first step in the development of an early warning system and can support epidemiological investigation and policy making.
从原始监测数据中检测传染病暴发的预警信号往往很困难。需要利用数据及时生成和分发有关传染病当前状况的信息。这为发现暴发并启动预防措施提供了机会。为了改进北莱茵-威斯特法伦州的监测系统，我们引入了一种传染病晴雨表，这是一种基于每周通报数据的简单工具。该工具的目的不是提供深入的数据分析，而是帮助发现聚集性病例或暴发。这可以是开发预警系统的第一步，并可支持流行病学调查和政策制定。
