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Syndromic Surveillance Using Veterinary Laboratory Data: Algorithm Combination and Customization of Alerts
BACKGROUND: Syndromic surveillance research has focused on two main themes: the search for data sources that can provide early disease detection; and the development of efficient algorithms that can detect potential outbreak signals. METHODS: This work combines three algorithms that have demonstrate...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859592/ https://www.ncbi.nlm.nih.gov/pubmed/24349216 http://dx.doi.org/10.1371/journal.pone.0082183 |