Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

This is the repository to the ESID frontend for visualization of infectious disease propagation.

COVID-19 Surveillance Data Modelling and Management Pipeline in Piedmont.

[UNDER DEVELOPMENT] R package implementing the DAEDALUS model for projecting and optimising health, social, and economic costs of a pandemic.