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Outbreak detection algorithms for seasonal disease data: a case study using ross river virus disease

BACKGROUND: Detection of outbreaks is an important part of disease surveillance. Although many algorithms have been designed for detecting outbreaks, few have been specifically assessed against diseases that have distinct seasonal incidence patterns, such as those caused by vector-borne pathogens. M...

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Detalles Bibliográficos
Autores principales: Pelecanos, Anita M, Ryan, Peter A, Gatton, Michelle L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004813/
https://www.ncbi.nlm.nih.gov/pubmed/21106104
http://dx.doi.org/10.1186/1472-6947-10-74