Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models

BACKGROUND: Emerging novel influenza outbreaks have increasingly been a threat to the public and a major concern of public health departments. Real-time data in seamless surveillance systems such as health insurance claims data for influenza-like illnesses (ILI) are ready for analysis, making it hig...

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Detalles Bibliográficos
Autores principales: Chan, Ta-Chien, Teng, Yung-Chu, Hwang, Jing-Shiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352259/
https://www.ncbi.nlm.nih.gov/pubmed/25886316
http://dx.doi.org/10.1186/s12889-015-1500-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352259/
https://www.ncbi.nlm.nih.gov/pubmed/25886316
http://dx.doi.org/10.1186/s12889-015-1500-4

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