A phenomenological algorithm for short-range predictions of the Covid-19 pandemics 2020

We present an algorithm for dynamical fitting of a logistic curve to the Covid-19 epidemics data, with fit-parameters linearly evolving to the future. We show that the algorithm would have given reasonable short- and medium-range predictions for the epidemics for several countries.