Study shows how machine learning could improve COVID-19 predictive models

Throughout the COVID-19 pandemic, case rates have ebbed and flowed in ways that have been hard for epidemiological models to predict. A new study by mathematicians from Brown University uses an advanced machine learning technique to explore the strengths and weaknesses of commonly used models, and suggests ways of making them more predictive.