Statistical Methods in the Analysis of Surveillance Data
Detection of aberrations in the occurrence of notifiable diseases surveillance data
Article first published online: 12 OCT 2006
Copyright © 1989 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 8, Issue 3, pages 323–329, March 1989
How to Cite
Stroup, D. F., Williamson, G. D., Herndon, J. L. and Karon, J. M. (1989), Detection of aberrations in the occurrence of notifiable diseases surveillance data. Statist. Med., 8: 323–329. doi: 10.1002/sim.4780080312
- Issue published online: 12 OCT 2006
- Article first published online: 12 OCT 2006
- Manuscript Received: SEP 1988
The detection of unusual patterns in the occurrence of diseases and other health events presents an important challenge to public health surveillance. This paper discusses three analytic methods for identifying aberrations in underlying distributions. The methods are illustrated on selected infectious diseases included in the National Notifiable Diseases Surveillance System of the Centers for Disease Control. Results suggest the utility of such an analytic approach. Further work will determine the sensitivity of such methods to variations in the occurrence of disease. These methods are useful for evaluating and monitoring public health surveillance data.