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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...
Tallennettuna:
| Julkaisussa: | BMC Vet Res |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5168866/ https://ncbi.nlm.nih.gov/pubmed/27998276 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12917-016-0914-2 |
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