OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.
Stefan T. RadevFrederik GrawSimiao ChenNico T. MuttersVanessa EichelTill BärnighausenUllrich KöthePublished in: PLoS Comput. Biol. (2021)
Keyphrases
- bayesian inference
- neural network
- public health
- disease outbreaks
- hyperparameters
- prior information
- probabilistic model
- hierarchical bayesian
- gibbs sampler
- bayesian model
- temporal trends
- statistical inference
- disease surveillance
- variational inference
- health care
- scan statistic
- neural network model
- variational bayes
- expectation propagation
- bayesian models
- post processing
- temporal characteristics
- particle filter
- maximum likelihood
- computer vision