epidemics

Machine Learning for Epidemiological Models

The COVID-19 outbreak has stimulated the interest in epidemiological models to predict the course of the epidemic and help planning effective control strategies. One of the recent proposals is SIDARTHE, which offers a rich description of the stages …

Learning the Dynamic SIR Model: An Optimal Control Approach

The problem of parameter estimation for an epidemic model is crucial for the forecasting of the infection spread. We discuss an approach for learning the time-variant parameters of the dynamic SIR model from data. We formulate the problem in terms of …