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Disease surveillance using a hidden Markov model
BACKGROUND: Routine surveillance of disease notification data can enable the early detection of localised disease outbreaks. Although hidden Markov models (HMMs) have been recognised as an appropriate method to model disease surveillance data, they have been rarely applied in public health practice....
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735038/ https://www.ncbi.nlm.nih.gov/pubmed/19664256 http://dx.doi.org/10.1186/1472-6947-9-39 |