MIT has developed a new model of the spread of COVID-19 infection, based on publicly available data, combined with established epidemiological equations about outbreaks, and neural network-based inference. The model, described in a new report, proves accurate when trained on data spanning late January to early March in terms of anticipating the actual spread leading […]...