ArticleStatistics in medicine2006
A Bayesian dynamic model for influenza surveillance.
Article in Statistics in medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Dynamic downscaling and daily nowcasting from influenza surveillance data.Statistics in medicine · 2022Article
- Applying the Spatial Transmission Network to the Forecast of Infectious Diseases Across Multiple Regions.Frontiers in public health · 2022Article
- Spatial transmission network construction of influenza-like illness using dynamic Bayesian network and vector-autoregressive moving average model.BMC infectious diseases · 2021Article
- Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model.Applied intelligence (Dordrecht, Netherlands) · 2021Article
- An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses.Journal of biomedical informatics · 2021Article
- Multichart Schemes for Detecting Changes in Disease Incidence.Computational and mathematical methods in medicine · 2020Article
- A real-time spatio-temporal syndromic surveillance system with application to small companion animals.Scientific reports · 2019Article
- Dynamic Bayesian network in infectious diseases surveillance: a simulation study.Scientific reports · 2019Article
- Parameterizing time in electronic health record studies.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- A method for detecting and characterizing outbreaks of infectious disease from clinical reports.Journal of biomedical informatics · 2015Article
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- Premature expression of a muscle fibrosis axis in chronic HIV infection.Skeletal muscle · 2012Article
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- Probabilistic, Decision-theoretic Disease Surveillance and Control.Online journal of public health informatics · 2011Article
- Rapid detection of pandemic influenza in the presence of seasonal influenza.BMC public health · 2010Article
- Probabilistic daily ILI syndromic surveillance with a spatio-temporal Bayesian hierarchical model.PloS one · 2010Article
- Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system.BMC public health · 2009Article
- Evolution and challenges in the design of computational systems for triage assistance.Journal of biomedical informatics · 2008Review
- Marco Ramoni: an appreciation of academic achievement.Journal of the American Medical Informatics Association : JAMIAArticle
- Finding leading indicators for disease outbreaks: filtering, cross-correlation, and caveats.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The severe acute respiratory syndrome (SARS) epidemic, the growing fear of an influenza pandemic and the recent shortage of flu vaccine highlight the need for surveillance systems able to provide early, quantitative predictions of epidemic events. We use dynamic Bayesian networks to discover the interplay among four data sources that are monitored for influenza surveillance. By integrating these different data sources into a dynamic model, we identify in children and infants presenting to the pediatric emergency department with respiratory syndromes an early indicator of impending influenza morbidity and mortality. Our findings show the importance of modelling the complex dynamics of data collected for influenza surveillance, and suggest that dynamic Bayesian networks could be suitable modelling tools for developing epidemic surveillance systems.
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