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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3004813/ https://ncbi.nlm.nih.gov/pubmed/21106104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-10-74 |
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