A Bayesian ensemble approach for epidemiological projections

Mathematical models are powerful tools for epidemiology and can be used to compare control actions. However, different models and model parameterizations may provide different prediction of outcomes. In other fields of research, ensemble modeling has been used to combine multiple projections. We exp...

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Veröffentlicht in:	PLoS computational biology 2015-04, Vol.11 (4), p.e1004187-e1004187
Hauptverfasser:	Lindström, Tom, Tildesley, Michael, Webb, Colleen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Bayes Theorem Bayesian analysis Climate change Computer Simulation Confidentiality Data Interpretation, Statistical Disease Outbreaks - statistics & numerical data Emergency preparedness Environmental aspects Epidemics Epidemiology Foot & mouth disease Foot-and-Mouth Disease - epidemiology Health aspects Humans Immunization Incidence Mathematical models Models, Statistical Mortality Population Surveillance - methods Reproducibility of Results Risk Factors Sensitivity and Specificity United Kingdom - epidemiology
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