title: Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks.
abstract: The analysis of influenza incidence in space and time is considered. A SIR model is proposed for the bi-weekly C+ notifications of lab confirmed influenza for the 2005 flu season. A variety of models are considered and the resulting goodness of fit and other diagnostics are considered.
authors: Division of Biostatistics & Epidemiology, Dept of Medicine, Medical University of South Carolina, Charleston, USA. lawsonab@musc.edu
authors: Andrew B
authors: AB
authors: Lawson
authors: Hae-Ryoung
authors: HR
authors: Song
mesh_terms: D001499:Bayes Theorem; D004196:Disease Outbreaks; D005260:Female; D006801:Humans; D015994:Incidence; D007251:Influenza, Human / Q000175:diagnosis* / Q000453:epidemiology*; D008297:Male; D015233:Models, Statistical; D062486:Public Health Surveillance; D012621:Seasons; D013022:South Carolina / Q000453:epidemiology; D013029:Space-Time Clustering; D062211:Spatio-Temporal Analysis; D015996:Survival Rate