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Unified program for predicting the spread of viral infections
V. A. Sudakov, T. V. Sivakova
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.
Citation:
V. A. Sudakov, T. V. Sivakova, “Unified program for predicting the spread of viral infections”, Keldysh Institute preprints, 2022, 074, 12 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp3099 https://www.mathnet.ru/eng/ipmp/y2022/p74
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Statistics & downloads: |
Abstract page: | 38 | Full-text PDF : | 12 | References: | 12 |
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