Description
Development of statistical methodologies for the rapid and reliable detection of influenza epidemics. We approach the inference and prediction of these models from the Bayesian paradigm, which allows the implementation of complex models with spatial, temporal and hierarchical structures.
Keywords
autoregressive, epidemic detection, space-time, Bayesian statistics, influenza, hidden markov models, epidemiological surveillance
Frascati classification
