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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 074, 12 pp.
DOI: https://doi.org/10.20948/prepr-2022-74
(Mi ipmp3099)
 

Unified program for predicting the spread of viral infections

V. A. Sudakov, T. V. Sivakova
References:
Abstract: Over the past few years, in the context of the spread of coronavirus infection, the role of simulation has increased significantly. The development and implementation of multi-agent models in practice helps not only to predict the number of cases and predict possible peaks in incidence, but also serves as an assessment for taking the necessary measures to contain the spread of the virus, use personal protective equipment, and introduce restrictive measures related to the work of organizations and transport. The developed program for the spread of viral infections is built on the basis of meta-classes of objects and allows you to take into account a 'large' number of contacts. The program was implemented on the example of the spread of coronavirus infection. OpenStreetMap (OSM) open data were used as geoservices for settlements.
Keywords: unified program, metaclass, simulation, simulation, coronavirus infection, overpass Turbo.
Funding agency Grant number
Russian Foundation for Basic Research 20-51-80002
Document Type: Preprint
Language: Russian
Citation: V. A. Sudakov, T. V. Sivakova, “Unified program for predicting the spread of viral infections”, Keldysh Institute preprints, 2022, 074, 12 pp.
Citation in format AMSBIB
\Bibitem{SudSiv22}
\by V.~A.~Sudakov, T.~V.~Sivakova
\paper Unified program for predicting the spread of viral infections
\jour Keldysh Institute preprints
\yr 2022
\papernumber 074
\totalpages 12
\mathnet{http://mi.mathnet.ru/ipmp3099}
\crossref{https://doi.org/10.20948/prepr-2022-74}
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  • https://www.mathnet.ru/eng/ipmp/y2022/p74
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    Препринты Института прикладной математики им. М. В. Келдыша РАН
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