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....

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Detalles Bibliográficos
Autores principales: Watkins, Rochelle E, Eagleson, Serryn, Veenendaal, Bert, Wright, Graeme, Plant, Aileen J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
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

Internet

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

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