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 10, Number 3—March 2004
Dispatch

Predicting Quarantine Failure Rates

Troy Day*Comments to Author 
Author affiliation: *Queen’s University, Kingston, Ontario, Canada

Main Article

Figure

Sample size of infections, n, that the quarantine duration must be based on to ensure that the quarantine failure rate is no larger than [[INLINEGRAPHIC('03-0502-M19')]] (with 95% certainty). Results assume that the quarantine duration is set equal to the largest incubation period observed in the sample of n infections. Curve is plotted using equation 4 with [[INLINEGRAPHIC('03-0502-M20')]]= 0.95.

Figure. Sample size of infections, n, that the quarantine duration must be based on to ensure that the quarantine failure rate is no larger than formula image (with 95% certainty). Results assume that the quarantine duration is set equal to the largest incubation period observed in the sample of n infections. Curve is plotted using equation 4 with formula image= 0.95.

Main Article

Page created: February 08, 2011
Page updated: February 08, 2011
Page reviewed: February 08, 2011
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