Preprints of the Keldysh Institute of Applied Mathematics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Keldysh Institute preprints:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Preprints of the Keldysh Institute of Applied Mathematics, 2021, 101, 20 pp.
DOI: https://doi.org/10.20948/prepr-2021-101 (Mi ipmp3018) 		 
Unified modeling of the spread of the virus in urban areas

V. A. Sudakov, T. V. Sivakova, V. I. Baluta, A. V. Milaev, E. A. Davydkina
Full-text PDF (1125 kB)
References:
PDF
HTML
DOI: https://doi.org/10.20948/prepr-2021-101
Abstract: This work presents a developed and implemented software package that simulates the spread of a pandemic in urban agglomerations, using the example of coronavirus infection. This program allows you to predict the spread of the virus in order to regulate and manage the process of the epidemiological situation, and to carry out further measures to combat it.
Keywords: COVID-19 (coronavirus infection), multi-agent modeling, software package, urban agglomerations, pandemic, locations, forecasting.
Funding agency Grant number
Russian Foundation for Basic Research 20-51-80002
Document Type: Preprint
Language: Russian
Citation: V. A. Sudakov, T. V. Sivakova, V. I. Baluta, A. V. Milaev, E. A. Davydkina, “Unified modeling of the spread of the virus in urban areas”, Keldysh Institute preprints, 2021, 101, 20 pp.
Citation in format AMSBIB
\Bibitem{SudSivBal21}
\by V.~A.~Sudakov, T.~V.~Sivakova, V.~I.~Baluta, A.~V.~Milaev, E.~A.~Davydkina
\paper Unified modeling of the spread of the virus in urban areas
\jour Keldysh Institute preprints
\yr 2021
\papernumber 101
\totalpages 20
\mathnet{http://mi.mathnet.ru/ipmp3018}
\crossref{https://doi.org/10.20948/prepr-2021-101}
Linking options:
  • https://www.mathnet.ru/eng/ipmp3018
  • https://www.mathnet.ru/eng/ipmp/y2021/p101
    • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
    Statistics & downloads:
    Abstract page:68
    Full-text PDF :30
    References:18
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024