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KIAM Preprint № 74, Moscow, 2022
Authors: Sudakov V.A., Sivakova T.V.
Unified program for predicting the spread of viral infections
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, meta-class, simulation modeling, simulation, coronavirus infection (COVID-19), Overpass Turbo
Publication language: russian,  pages: 12
Research direction:
Mathematical modelling in actual problems of science and technics
Russian source text:
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About authors:
  • Sudakov Vladimir Anatolievich,  orcid.org/0000-0002-1658-1941KIAM RAS
  • Sivakova Tatiana Vladimirovna,  orcid.org/0000-0001-8026-2198KIAM RAS