A statistical algorithm for the early detection of outbreaks of infectious disease
A statistical algorithm for the early detection of outbreaks of infectious disease
复制标题
DOI：
10.2307/2983331
复制
发表时间：
1996-01-01
影响因子：
2
通讯作者：
Catchpole, MA
中科院分区：
文献类型：
--
作者：
Farrington, CP;Andrews, NJ;Catchpole, MA
必须尽早发现传染病的爆发，以便采取有效的控制措施。在处理大量数据时，只要考虑到感染的各种模式和频率，自动化程序可以有效地补充传统的监测方法。本文描述了一个强大的系统，用于处理传染病监测中心收到的每周感染报告。使用简单的回归算法来计算合适的阈值。然后，超过阈值的生物体将被标记以进行进一步调查。
Outbreaks of infectious diseases must be detected early for effective control measures to be introduced. When dealing with large amounts of data, automated procedures can usefully supplement traditional surveillance methods, provided that the wide variety of patterns and frequencies of infections are taken into account. This paper describes a robust system developed to process weekly reports of infections received at the Communicable Disease Surveillance Centre. A simple regression algorithm is used to calculate suitable thresholds. Organisms exceeding their threshold are then flagged for further investigation.