SPC Applications in Syndromic Surveillance
Loading...
Authors
Fricker, Ronald D. Jr.
Hegler, Benjamin L.
Dunfee, David A.
Knitt, Matthew C.
Hu, Cecilia X.
Advisors
Second Readers
Subjects
Statistical process control, biosurveillance,
bioterrorism, early event detection, situational awareness
Date of Issue
2007
Date
Publisher
Language
Abstract
syndromic surveillance, biosurveillance, terrorism, disease, detection, statistical process control, CUSUM (MCUSUM) and the multivariate exponentially weighted moving average (MEWMA). Based on our analyses, we found that the CUSUM performed better than the EARS' methods across all of the scenarios we evaluated and, similar to results for the univariate CUSUM and EWMA in classical SPC applications, the directionally sensitive MCUSUM and MEWMA perform very similarly.
Type
Preprint
Description
2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association, 4035-4044.
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Fricker, R.D., Jr., Hegler, B.L., and D.A. Dunfee (2007). SPC Applications in Syndromic Surveillance, 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association, 4035-4044.
Distribution Statement
Rights
defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.