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A Bayesian spatio‐temporal approach for real‐time detection of disease outbreaks: a case study
BACKGROUND: For researchers and public health agencies, the complexity of high‐dimensional spatio‐temporal data in surveillance for large reporting networks presents numerous challenges, which include low signal‐to‐noise ratios, spatial and temporal dependencies, and the need to characterize uncerta...
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| 出版年: | BMC Med Inform Decis Mak |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4267748/ https://ncbi.nlm.nih.gov/pubmed/25476843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-014-0108-4 |
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