EconPapers    
Economics at your fingertips  
 

Анализ пространственной зависимости распространения COVID-19 в России

Analysis of the spatial dependence of COVID-19 prevalue in Russia

Venera Timiryanova, Aleksandr Zimin and Larisa Plushcheva

MPRA Paper from University Library of Munich, Germany

Abstract: The materials present the results of assessing the spatial autocorrelation of the number of infected COVID-19 per capita for the regions of the Russian Federation during the period from the beginning of the epidemic to November 2021. The calculation showed the low significance of the assessment of the global Moran's index until November 2020. The strongest spatial dependence was in February-April 2021. Obviously, in conditions of a sharp increase in the number of cases, restrictive measures are introduced that actually reduce the movement of the population, and therefore worsen the estimates of spatial autocorrelation.

Keywords: COVID-19; spatial analysis; Global Moran's Index (search for similar items in EconPapers)
JEL-codes: I19 R19 (search for similar items in EconPapers)
Date: 2021-11-10
New Economics Papers: this item is included in nep-cis
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/110704/1/article.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:110704

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).

 
Page updated 2024-12-28
Handle: RePEc:pra:mprapa:110704