Cargando…
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...
Autores principales: | Tomchin, Dmitry A., Fradkov, Alexander L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153197/ http://dx.doi.org/10.1016/j.ifacol.2021.04.209 |
Ejemplares similares
-
Prediction of the COVID-19 epidemic trends based on SEIR and AI models
por: Feng, Shuo, et al.
Publicado: (2021) -
Study of Fractional Order SEIR Epidemic Model and Effect of Vaccination on the Spread of COVID-19
por: Paul, Subrata, et al.
Publicado: (2022) -
On an interval prediction of COVID-19 development based on a SEIR epidemic model
por: Efimov, Denis, et al.
Publicado: (2021) -
Prediction of COVID-19 spread by sliding mSEIR observer
por: Chen, Duxin, et al.
Publicado: (2020) -
Non-Markovian SIR epidemic spreading model of COVID-19
por: Basnarkov, Lasko, et al.
Publicado: (2022)