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Automated real time constant-specificity surveillance for disease outbreaks
BACKGROUND: For real time surveillance, detection of abnormal disease patterns is based on a difference between patterns observed, and those predicted by models of historical data. The usefulness of outbreak detection strategies depends on their specificity; the false alarm rate affects the interpre...
| 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/PMC1919360/ https://www.ncbi.nlm.nih.gov/pubmed/17567912 http://dx.doi.org/10.1186/1472-6947-7-15 |