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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3556</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url">http://dx.doi.org/10.31782/IJCRR.2021.SP170</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Exploratory Data Analysis on the Epidemiology of Coronavirus (COVID-19) Pandemic Outbreak&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Tyagi</surname><given-names>Ashima</given-names></name></contrib><contrib contrib-type="author"><name><surname>Chahal</surname><given-names>Deepak</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kharb</surname><given-names>Latika</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>30</day><month>03</month><year>2021</year></pub-date><volume>rn</volume><issue>ch</issue><fpage>12</fpage><lpage>18</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Severe Acute Respiratory Syndrome (SARS), first identified in the Guangdong province of China in 2002, affected the world. The transmission of the virus is from animals to animals and also to humans. In late 2019, another novel coronavirus SARS-CoV2 was identified, which became the cause of the coronavirus disease 2019 (COVID-19) that originated from Wuhan, China and quickly spread worldwide, leading to millions of cases and thousands of deaths. The data is extracted from the google sheets associated with a dashboard created by Johns Hopkins University that depicts the countries in the world that have coronavirus infection. The dataset, available from January 22 2020, consists of daily updated information on the infected countries along with the deaths and recoveries from the COVID-19 virus. We showed the effect of COVID-19 worldwide, representing the countries that are majorly affected by the infection and scrutinizing coronavirus trends in India. The techniques and measures that can be adapted to control the pandemic are also discussed in this study. The coronavirus has affected 213 countries around the world till now. The analysis is done using Python Programming Language, dated January 22, 2020 to August 1, 2020, while the virus continues to spread. The paper scrutinizes trends of covid-19 in India by discussing the confirmed, recovered and death cases. Results suggest that coronavirus infection is increasing greatly in Maharashtra, Tamil Nadu, Andhra Pradesh and Delhi. It can be concluded that even though the infection originated from China, the country is successful in its attempt to decrease the transmission of the virus.&#13;
</p></abstract><kwd-group><kwd>Coronavirus</kwd><kwd> COVID-19</kwd><kwd> Pandemic</kwd><kwd> Python language</kwd><kwd> Severe acute respiratory syndrome (SARS)</kwd></kwd-group></article-meta></front></article>
