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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2021-107</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-2329</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH PAPER</subject></subj-group></article-categories><title-group><article-title>Spatial Features of Covid-2019 Diffusion in Russian Regions: the View of the Transport Geographer</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Tarkhov</surname><given-names>Sergey A.</given-names></name></name-alternatives><bio xml:lang="en"><p>Staromonetnyi per. 29, Moscow 119017</p></bio><email xlink:type="simple">tram.tarkhov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Institute of Geography, Russian Academy of Sciences</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>28</day><month>03</month><year>2022</year></pub-date><volume>15</volume><issue>1</issue><fpage>87</fpage><lpage>101</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Tarkhov S.A., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Tarkhov S.A.</copyright-holder><copyright-holder xml:lang="en">Tarkhov S.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/2329">https://ges.rgo.ru/jour/article/view/2329</self-uri><abstract><p>The purpose of the article was to analyze the spatial spread of COVID-2019 in the regions of Russia in comparison with European countries in 2020–21 from a transport-geographical point of view. The article reveals interregional differences in the number of cases and the incidence (sickness) rate as of August 1, 2021 for individual regions of Russia. The coronavirus entered two Russian regions directly from Wuhan (China) and eight regions from Northern Italy. The first virus carriers arrived by air transport, which was the main means of spreading the epidemic. Spatial diffusion of COVID-2019 in Russia was extremely uneven with epicenters in the large cities. In the early stages the coronavirus spread in an exclusively hierarchical way through the established extensive air communication system. The later stages of its spread were characterized by mixed diffusion with the dominance of the hierarchical form. COVID-2019 has six gradations of the incidence (sickness) rate expressed in the number of cases per 1 million inhabitants: very high (more than 140), high (90–140), moderate (70–90), medium (45–70), low (20–45), very low (6–20). For the Russian regions the most typical were low (51 regions) and medium (20 regions) incidence rates – 60% and 23.5% (84% in total), respectively. The incidence rate, according to official data from Rospotrebnadzor (Russian Agency of Consumer Supervision), is 38% lower than in European countries. The average number of Russian cases in the first seven months of 2021 was 1.8 times more than for the entire 2020.</p></abstract><kwd-group xml:lang="en"><kwd>COVID-2019</kwd><kwd>hierarchical diffusion</kwd><kwd>Russia</kwd><kwd>incidence rate</kwd></kwd-group><funding-group><funding-statement xml:lang="en">The study was conducted in pursuance of the state order within the theme АААА-А19-119022190170-1 (FMGE-2019-0008) “Problems and prospects of Russia’s territorial development in the context of its unevenness and global instability.”</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Ascani A., Faggian A., Montresor S. (2020). The geography of COVID-19 and the structure of local economies: The case of Italy. Journal of Regional Science, December. 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