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Modeling and detection of respiratory-related outbreak signatures
BACKGROUND: Time series methods are commonly used to detect disease outbreak signatures (e.g., signals due to influenza outbreaks and anthrax attacks) from varying respiratory-related diagnostic or syndromic data sources. Typically this involves two components: (i) Using time series methods to model...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2203979/ https://www.ncbi.nlm.nih.gov/pubmed/17919318 http://dx.doi.org/10.1186/1472-6947-7-28 |