Abstract
The data on Coronavirus spread in Russia (as a whole), Sweden, Moscow, and Yakutia were analyzed within the framework of kinetics of autocatalytic branching chain reactions. It was shown that in certain time intervals, the dynamics of this process can be described by a logistic function with a graph similar to the kinetic curve of product accumulation in a first-order autocatalytic reaction both in the consumption of the reactant and in the autocatalysis by the product. The logistic curve expression has a certain predictive ability and can be used to evaluate the effectiveness of anti-epidemic measures; it also poses the problem of elucidating the causes of unexpected abrupt changes in the logistic function parameters in the description of actual statistical data.
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