Optimizing Use of Multistream Influenza Sentinel Surveillance Data

Optimizing Use of Multistream Influenza Sentinel Surveillance Data

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 aggre...

Full description

Bibliographic Details
Main Authors: Eric H. Y. Lau, Benjamin J. Cowling, Lai-Ming Ho, Gabriel M. Leung
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2008-07-01
Series:Emerging Infectious Diseases
Subjects:
Sentinel surveillance
influenza
multivariate analysis
dispatch
Hong Kong
Online Access:https://wwwnc.cdc.gov/eid/article/14/7/08-0060_article
id doaj-f3dc51bd7d59458e8511f01a216a7bc8
record_format Article
spelling doaj-f3dc51bd7d59458e8511f01a216a7bc82020-11-24T20:46:35ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592008-07-011471154115710.3201/eid1407.080060Optimizing Use of Multistream Influenza Sentinel Surveillance DataEric H. Y. LauBenjamin J. CowlingLai-Ming HoGabriel M. LeungWe 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.https://wwwnc.cdc.gov/eid/article/14/7/08-0060_articleSentinel surveillanceinfluenzamultivariate analysisdispatchHong Kong
collection DOAJ
language English
format Article
sources DOAJ
author Eric H. Y. Lau
Benjamin J. Cowling
Lai-Ming Ho
Gabriel M. Leung
spellingShingle Eric H. Y. Lau
Benjamin J. Cowling
Lai-Ming Ho
Gabriel M. Leung
Optimizing Use of Multistream Influenza Sentinel Surveillance Data
Emerging Infectious Diseases
Sentinel surveillance
influenza
multivariate analysis
dispatch
Hong Kong
author_facet Eric H. Y. Lau
Benjamin J. Cowling
Lai-Ming Ho
Gabriel M. Leung
author_sort Eric H. Y. Lau
title Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_short Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_full Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_fullStr Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_full_unstemmed Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_sort optimizing use of multistream influenza sentinel surveillance data
publisher Centers for Disease Control and Prevention
series Emerging Infectious Diseases
issn 1080-6040
1080-6059
publishDate 2008-07-01
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.
topic Sentinel surveillance
influenza
multivariate analysis
dispatch
Hong Kong
url https://wwwnc.cdc.gov/eid/article/14/7/08-0060_article
work_keys_str_mv AT erichylau optimizinguseofmultistreaminfluenzasentinelsurveillancedata
AT benjaminjcowling optimizinguseofmultistreaminfluenzasentinelsurveillancedata
AT laimingho optimizinguseofmultistreaminfluenzasentinelsurveillancedata
AT gabrielmleung optimizinguseofmultistreaminfluenzasentinelsurveillancedata
_version_ 1716812236275580928

Similar Items