Аннотация

The paper presents one of the possible approaches to pandemic spread modeling. The proposed model is based on the mean-field control inside separate groups of population, namely, suspectable (S), infected (I), removed (R) and cross-immune (C) ones. The numerical algorithm to solve this problem ensures conservation of the total population mass during timeline. The numerical experiments demonstrate modeling results for COVID-19 spread in Novosibirsk (Russia) for two 100-day periods.

Язык оригиналаанглийский
Номер статьи126271
ЖурналJournal of Mathematical Analysis and Applications
Том514
Номер выпуска1
DOI
СостояниеОпубликовано - 1 окт. 2022

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