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Prediction of the COVID-19 spread in Russia based on SIR and SEIR models of epidemics
An attempt is made to use the simplest epidemic models: SIR and SEIR to predict the spread of COVID-19 in Russia. Simplicity and a small number of parameters are very significant advantages of SIR and SEIR models in conditions of a lack of numerical initial data and structural incompleteness of mode...
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| 出版年: | IFAC-PapersOnLine |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8153197/ https://ncbi.nlm.nih.gov/pubmed/38620724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ifacol.2021.04.209 |
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