City-scale model for COVID-19 epidemiology with mobility and social activities represented by a set of hidden Markov models
Description
CONCLUSIONS: The model can be used to predict the most likely evolution of the number of cases and hospital bed occupancy in the short term. By adjusting the model to match the data on hospitalizations in intensive care units and deaths due to COVID
