On COVID-19 Outbreak Predictions

Milan Stehlik of the University of Valparaiso discusses issues affecting the estimation and prediction of COVID-19 outbreaks from statistical and mathematical perspectives, including stability, parameter sensitivity, precision, and the stochastic nature of the problem, such as random perturbation in parameters causing instability in predicting and estimating.