Siberian scientists will improve the mathematical model of coronavirus spread

Novosibirsk researchers will improve the model of coronavirus spread with neural networks. It will take into account statistics, data of immunological research and WHO reports.

“As a result of processing the accumulated data with a division by age, as well as the application of artificial intelligence, machine learning, neural networks to solve reverse problems of a large dimension, existing mathematical models will be modified, and forecasting errors are reduced,” TASS reports with reference to the researcher of the Institute of Computing Mathematics and Mathematical Geophysics (IVMIMG) Olga Krivorotko.

According to Krivorotko, work to improve the model will last two years. Novosibirsk researchers conduct it with colleagues from other regions, Kazakhstan, China, Europe and the USA. The updated model will take into account statistics, data of immunological research and WHO reports. It takes into account intercity passenger tramps, anti -epidemiological measures introduced by the authorities, mortality and detected cases of infection.