Statistical Methods for Detecting the Onset of Influenza Outbreaks

Statistical Methods for Detecting the Onset of Influenza Outbreaks

This paper reviews different approaches for determining the epidemic period from influenza surveillance data. In the first approach, the process of differenced incidence rates is modelled either with a first-order autoregressive process or with a Gaussian white noise process depending on whether th...

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Bibliographic Details
Main Authors: Rubén Amorós, David Conesa, Miguel Angel Martinez-Beneito, Antonio Lopez-Quílez
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2015-04-01
Series:Revstat Statistical Journal
Subjects:
autoregressive modeling
Bayesian inference
influenza
hidden Markov models
public health
temporal surveillance
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/163

Internet

https://revstat.ine.pt/index.php/REVSTAT/article/view/163

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