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Анализ волн распространения Covid-19 в России
[Analysis of Covid-19 wave distribution in Russia]

Author

Listed:
  • Pavlov, Konstantin
  • Timiryanova, Venera
  • Yusupov, Kasim
  • Krasnoselskaya, Dina

Abstract

The study focuses on the spatial autocorrelation of the number of infections and deaths from COVID-19 per capita across Russian regions from the beginning of the epidemic to November 10, 2022. The analysis showed a wave-like change in the regional spatial dependence in terms of the number of infections. The significance of spatial links decreases during the period of severe restrictions' introduction. Spatial autocorrelation of covid mortality is not significant. Regional variance on mortality in recent months has been increasing in contrast to the variance of regions on infection rates. The calculation made it possible to substantiate regional fragmentation in terms of mortality which determines the relevance of a deeper study of the healthcare systems' quality in the regions.

Suggested Citation

  • Pavlov, Konstantin & Timiryanova, Venera & Yusupov, Kasim & Krasnoselskaya, Dina, 2022. "Анализ волн распространения Covid-19 в России [Analysis of Covid-19 wave distribution in Russia]," MPRA Paper 114637, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:114637
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    File URL: https://mpra.ub.uni-muenchen.de/114637/4/MPRA_paper_114637.pdf
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    References listed on IDEAS

    as
    1. S. P. Zemtsov & V. L. Baburin, 2020. "COVID-19: Spatial Dynamics and Diffusion Factors across Russian Regions," Regional Research of Russia, Springer, vol. 10(3), pages 273-290, July.
    2. Munazza Fatima & Kara J. O’Keefe & Wenjia Wei & Sana Arshad & Oliver Gruebner, 2021. "Geospatial Analysis of COVID-19: A Scoping Review," IJERPH, MDPI, vol. 18(5), pages 1-14, February.
    3. Lifshits, M. L. & Neklyudova, N. P., 2020. "COVID-19 mortality rate in Russian regions: forecasts and reality," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(3), pages 171-182.
    4. Nushrat Nazia & Zahid Ahmad Butt & Melanie Lyn Bedard & Wang-Choi Tang & Hibah Sehar & Jane Law, 2022. "Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review," IJERPH, MDPI, vol. 19(14), pages 1-28, July.
    5. Sebastien Bourdin & Ludovic Jeanne & Fabien Nadou & Gabriel Noiret, 2021. "Does lockdown work? A spatial analysis of the spread and concentration of Covid-19 in Italy," Regional Studies, Taylor & Francis Journals, vol. 55(7), pages 1182-1193, July.
    6. Mokhamad Nur Cahyadi & Hepi Hapsari Handayani & IDAA Warmadewanthi & Catur Aries Rokhmana & Soni Sunarso Sulistiawan & Christrijogo Sumartono Waloedjo & Agus Budi Raharjo & Endroyono & Mohamad Atok & , 2022. "Spatiotemporal Analysis for COVID-19 Delta Variant Using GIS-Based Air Parameter and Spatial Modeling," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    COVID-19; spatial analysis; Global Moran's Index;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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