Optimizing Use of Multistream Influenza Sentinel Surveillance Data

Lau, Eric H. Y.; Cowling, Benjamin J.; Ho, Lai-Ming; Leung, Gabriel M.

i

Optimizing Use of Multistream Influenza Sentinel Surveillance Data

Supporting Files Public Domain

Jul 2008
By Lau, Eric H. Y. ; Cowling, Benjamin J. ; Ho, Lai-Ming ; ...

Details

Alternative Title:

Emerg Infect Dis
Personal Author:

Lau, Eric H. Y. ; Cowling, Benjamin J. ; Ho, Lai-Ming ; Leung, Gabriel M.
Description:

We applied time-series methods to multivariate sentinel surveillance data recorded in Hong Kong during 1998-2007. Our study demonstrates that simultaneous monitoring of multiple streams of influenza surveillance data can improve the accuracy and timeliness of alerts compared with monitoring of aggregate data or of any single stream alone.
Subjects:

Dispatch Hong Kong Humans Influenza Influenza, Human Multivariate Analysis Regression Analysis Sensitivity And Specificity Sentinel Surveillance
Source:

Emerg Infect Dis. 14(7):1154-1157.
Document Type:

Journal Article
Volume:

14
Issue:

7
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:53f4d3e8fc9aae14afe9916405e82aabadaeb4aa1e2f3b82853d04e6501f9add
Download URL:

https://stacks.cdc.gov/view/cdc/17183/cdc_17183_DS1.pdf
File Type:

[PDF - 348.70 KB ]

ON THIS PAGE

Details Supporting Files

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.