Watier L
INSERM U170, Villejuif.
Rev Epidemiol Sante Publique. 1995;43(2):173-85.
The use of time series modeling for non-typhoidal salmonella infections is important for improving epidemiological surveillance. Specific techniques which were necessary for our objectives are detailed in an accompanying paper. For each series analysed, we discuss how to choose an appropriate statistical model taking into account both the data structure and the specific objectives. For salmonella infections, we have quantified a "media coverage effect", constructed and alert threshold and estimated a link between two series. We have thus shown that the analysis of temporal variations is of relevance in public health and can contribute to epidemiological knowledge.
将时间序列建模用于非伤寒沙门氏菌感染对于改善流行病学监测很重要。实现我们目标所需的具体技术在随附论文中有详细阐述。对于每个分析的序列,我们讨论如何在考虑数据结构和特定目标的同时选择合适的统计模型。对于沙门氏菌感染,我们量化了“媒体报道效应”,构建了一个警报阈值,并估计了两个序列之间的联系。因此,我们表明对时间变化的分析在公共卫生中具有相关性,并且可以增进流行病学知识。