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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...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3859592/ https://ncbi.nlm.nih.gov/pubmed/24349216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0082183 |
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