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Spread of the Covid-19 In Russia

Regional Peculiarities

Bibliographic Data

ID21219124
AuthorsNataliya Kravchenko (0000-0002-6613-7582, Russian Academy of Sciences, corresponding author), N A Kravchenko, A I Ivanova (0000-0001-8969-988X, Russian Academy of Sciences, corresponding author)
Year2021
Volume11
Issue4
Pages428-434
Publication date2021-10-01
Open AccessYes
TypeARTICLE
VenueRegional Research of Russia (JOURNAL)
Journal identifiersISSN: 2079-9713 • E-ISSN: 2079-9705
PublisherPleiades Publishing Ltd (PUBLISHER)
DOI10.1134/s2079970521040080
OpenAlexW4200188044
LanguageEN
Citations received3
References cited15

The spread of COVID-19 is highly differentiated both between countries and between territories within countries. The main aim of this article is to identify the characteristics of regions that affect the scale of spread of coronavirus infection in the Russian Federation during the second wave of the pandemic. Using econometric modeling methods, the dependences between a number of regional characteristics reflecting the vulnerability of regions and their ability to resist infection were assessed, in addition to the scale of the spread of coronavirus infection. The wealth of a region and social capital of its population became the factors of resistance. The populations of wealthier Russian regions are less exposed to infection, while the most vulnerable are poorer regions, regions with a high population density, poorer environmental quality, and older populations. The article demonstrates the role of social capital in resisting a pandemic: higher quality social capital is associated with lower infection and mortality rates. The findings can be used to inform regional policy measures to potentially reduce COVID-19 and other infections

Coronavirus · Demographic economics · Development economics · Disease · Economic geography · Economic growth · Economics · Geography · Pandemic · Political science · Population · Regional science · Russian federation · Social capital · Socioeconomics · Sociology · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Medicine · Regional Socio-Economic Development Trends

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Citations per year0.75
Citation span2022 - 2023 (2)
Highly citedNo

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