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...

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Detalles Bibliográficos
Autores principales: Lau, Eric H. Y., Cowling, Benjamin J., Ho, Lai-Ming, Leung, Gabriel M.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2008
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600317/
https://www.ncbi.nlm.nih.gov/pubmed/18598647
http://dx.doi.org/10.3201/eid1407.080060
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author Lau, Eric H. Y.
Cowling, Benjamin J.
Ho, Lai-Ming
Leung, Gabriel M.
author_facet Lau, Eric H. Y.
Cowling, Benjamin J.
Ho, Lai-Ming
Leung, Gabriel M.
author_sort Lau, Eric H. Y.
collection PubMed
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.
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spelling pubmed-26003172009-01-13 Optimizing Use of Multistream Influenza Sentinel Surveillance Data Lau, Eric H. Y. Cowling, Benjamin J. Ho, Lai-Ming Leung, Gabriel M. Emerg Infect Dis Dispatch 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. Centers for Disease Control and Prevention 2008-07 /pmc/articles/PMC2600317/ /pubmed/18598647 http://dx.doi.org/10.3201/eid1407.080060 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Dispatch
Lau, Eric H. Y.
Cowling, Benjamin J.
Ho, Lai-Ming
Leung, Gabriel M.
Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title 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_short Optimizing Use of Multistream Influenza Sentinel Surveillance Data
title_sort optimizing use of multistream influenza sentinel surveillance data
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600317/
https://www.ncbi.nlm.nih.gov/pubmed/18598647
http://dx.doi.org/10.3201/eid1407.080060
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AT leunggabrielm optimizinguseofmultistreaminfluenzasentinelsurveillancedata

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