Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link

Volume 3, Number 3—September 1997

Dispatch

Using Laboratory-Based Surveillance Data for Prevention: An Algorithm for Detecting Salmonella Outbreaks

L. C. Hutwagner, E. K. Maloney, N. H. Bean, L. Slutsker, and S. M. Martin
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Main Article

Figure 1

Algorithm for outbreak detection for one serotype for 1 week.a aSince we are interested in detecting only increases in the number of isolates of Salmonella serotypes, we based our algorithm on a one-sided CUSUM. The numbers vary by serotype, and we assume the numbers of individual serotypes to be normally distributed for any given week in the past 5 years. A one-sided CUSUM determines a positive shift from the expected mean. The

Figure 1. Algorithm for outbreak detection for one serotype for 1 week.a aSince we are interested in detecting only increases in the number of isolates of Salmonella serotypes, we based our algorithm on a one-sided CUSUM. The numbers vary by serotype, and we assume the numbers of individual serotypes to be normally distributed for any given week in the past 5 years. A one-sided CUSUM determines a positive shift from the expected mean. The

Main Article

Page created: December 21, 2010
Page updated: December 21, 2010
Page reviewed: December 21, 2010
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external