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...

Descripción completa

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
Descripción
Sumario: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.

Ejemplares similares