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Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams

An integrated quantitative approach to data assimilation, prediction and anomaly detection over real-time public health surveillance data streams is introduced. The importance of creating dynamical probabilistic models of disease dynamics capable of predicting future new cases from past and present...

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Bibliografiske detaljer
Udgivet i:Intelligence and Security Informatics: Biosurveillance
Main Authors: Bettencourt, Luís M. A., Ribeiro, Ruy M., Chowell, Gerardo, Lant, Timothy, Castillo-Chavez, Carlos
Format: Artigo
Sprog:Inglês
Udgivet: 2007
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7122958/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-540-72608-1_8
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