CoRoNNa: A Deep Sequential Framework to Predict Epidemic Spread
We propose CORONNA, a deep framework for epidemic prediction to analyse the spread of COVID-19 and, potentially, of other unknown viruses, based on a flexible integration of sequential and convolutional components. Importantly, our framework is general and can be specialised according to different analysis objectives. In this paper, the specific purpose is to optimise CORONNA for analysing the impact of different mobility containment policies on the epidemic.