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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">10.24057/2071-9388-2021-059</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-2188</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>Special Issue "Geography of the COVID-19 pandemic: public health, economic and environmental consequences"</subject></subj-group></article-categories><title-group><article-title>Assessing The Vulnerability Index Of Covid-19 Pandemic In India</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>Sahu</surname><given-names>Netrananda</given-names></name></name-alternatives><bio xml:lang="en"><p>Netrananda Sahu, Assistant Professor</p><p>Department of Geography, Delhi School of Economics</p><p>Delhi 110007</p></bio><email xlink:type="simple">babunsahu@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Mishra</surname><given-names>Martand Mani</given-names></name></name-alternatives><bio xml:lang="en"><p>Martand Mani Mishr, Ph.D. Research Scholar, Senior Research Fellow</p><p>Department of Geography, Delhi School of Economics</p><p>Delhi 110007</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>University of Delhi</institution><country>India</country></aff><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>29</day><month>12</month><year>2021</year></pub-date><volume>14</volume><issue>4</issue><fpage>131</fpage><lpage>139</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Sahu N., Mishra M., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Sahu N., Mishra M.</copyright-holder><copyright-holder xml:lang="en">Sahu N., Mishra M.</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/2188">https://ges.rgo.ru/jour/article/view/2188</self-uri><abstract><p>The coronavirus (COVID-19) outbreak has created havoc all across the States and Union Territories (UTs) of India since its beginning on 30th January 2020. As of 1st January 2021, India has recorded 10,305,788 cases and 149,218 deaths from this deadly pandemic. It has been observed through the data; across states and UTs, the trend and pattern of this disease are not similar at all. There are many reasons for these dissimilarities which are categorized into indicators to assess the vulnerability in this study. We have examined vulnerabilities in 28 states and 8 UTs of India. Livelihood Vulnerability Index (LVI) has been applied with certain modifications to calculate the Vulnerability Index (VI). The figure resulting from the vulnerability assessment corresponds that the factors involved in the three-section exposure, sensitivity, and adaptive capacity had a significant impact on deciding the vulnerability of the population. The result identified the states and UTs which are more vulnerable and need more attention from the government and policymakers. The proposed method of study is unique in its sense as vulnerability index calculation is purely based on a secondary source of data and therefore has an expectation of a higher degree of practical application.</p></abstract><kwd-group xml:lang="en"><kwd>India</kwd><kwd>COVID-19</kwd><kwd>Exposure</kwd><kwd>Sensitivity</kwd><kwd>Adaptive Capacity</kwd><kwd>Population Density</kwd><kwd>Vulnerability Assessment</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Acharya R., &amp; Porwal A. (2020). A vulnerability index for the management of and response to the COVID-19 epidemic in India: an ecological study. The Lancet Global Health, 8(9), e1142–e1151, DOI: 10.1016/S2214-109X(20)30300-4.</mixed-citation><mixed-citation xml:lang="en">Acharya R., &amp; Porwal A. (2020). 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