Mathematical modeling of the spread of COVID-19 in Moscow
( Pp. 99-105)

To model the spread of COVID-19 coronavirus in Moscow, a discrete logistic equation describing the increase in the number of cases was used. To verify the adequacy of the mathematical model, the simulation results were compared with the spread of coronavirus in China. The parameters of the logistics equation for Moscow on the interval [01.03-08.04] were defined. A comparison of growth rates of the number of infected COVID-19 for a number of European, Asian countries and the USA is given. Four scenarios of the spread of COVID-19 in Moscow were considered. For each scenario, curves of the increase in the number of infected people and graphs of the increase in the total number of cases were obtained, and the dynamics of infection spread by day was studied. Peak times, epidemic periods, the number of infected people at the peak and their growth were determined.

Kurkina E.S., Vasetsky A.M., Koltsova E.M., (2020), MATHEMATICAL MODELING OF THE SPREAD OF COVID-19 IN MOSCOW. Computational Nanotechnology, 1 => 99-105.

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URL:htt s://en.wikipedia.org/wiki/Template:2019 E2 80 9320 coronavirus pandemic data/Mainland China medical cases
URL: https://www.worldometers.info/coronavirus/
URL: https://ncov.blog/countries/ru/77/

coronavirus COVID-19, mathematical modeling, logistic equation, epidemic development scenarios.