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Methodological challenges to multivariate syndromic surveillance: a case study using Swiss animal health data

BACKGROUND: In an era of ubiquitous electronic collection of animal health data, multivariate surveillance systems (which concurrently monitor several data streams) should have a greater probability of detecting disease events than univariate systems. However, despite their limitations, univariate a...

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Detalles Bibliográficos
Autores principales: Vial, Flavie, Wei, Wei, Held, Leonhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168866/
https://www.ncbi.nlm.nih.gov/pubmed/27998276
http://dx.doi.org/10.1186/s12917-016-0914-2