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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2015
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| 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 |