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Structural models used in real-time biosurveillance outbreak detection and outbreak curve isolation from noisy background morbidity levels
OBJECTIVE: We discuss the use of structural models for the analysis of biosurveillance related data. METHODS AND RESULTS: Using a combination of real and simulated data, we have constructed a data set that represents a plausible time series resulting from surveillance of a large scale bioterrorist a...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BMJ Publishing Group
2013
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3628046/ https://ncbi.nlm.nih.gov/pubmed/23037798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2012-000945 |
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