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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">3805</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.SP222</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>AarogyaSetu: Behavior Analysis and Its Efficacy&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kumar</surname><given-names>Umang</given-names></name></contrib><contrib contrib-type="author"><name><surname>Chaudhari</surname><given-names>Vivek</given-names></name></contrib><contrib contrib-type="author"><name><surname>Verma</surname><given-names>Devvret</given-names></name></contrib><contrib contrib-type="author"><name><surname>Singh</surname><given-names>Anshika</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>11</day><month>06</month><year>2021</year></pub-date><volume>Wa</volume><issue>OV</issue><fpage>109</fpage><lpage>114</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>Background: To be victorious over COVID-19 and to fight half a million cases daily, an individual__ampersandsignrsquo;s cognitive and behavioural attitude towards the Aarogyasetu application is very vital. Objective: To interpret behavioural aspects and approach of people along with assessing their views and opinions through a survey. Methods: A cross-sectional situational based survey was circulated through different digital platforms among Indian residents aged above 15 years. A descriptive statistical approach was used to analyze the data. Results: A total of 220 people have completed the survey. The majority of them expressed that they have always forgotten to use the application, whereas most individuals accepted that they have generally provided incorrect information in the application due to the fear of quarantine procedures. It has been recorded that the Participatory disease surveillance (PDS) based contact tracing application has several limitations, as they do not cater to asymptomatic people in addition to it disabling Bluetooth and GPS services. Conclusion: Geospatial technology used in contact tracing application had been very beneficial for disease surveillance and to curb plus control the spread of COVID-19 disease. The data recorded through the survey was irregular and showed many variations, as a result true potential of the technology was not liberated. The doubts of people should be acknowledged to increase efficacy of the Aarogyasetu application.&#13;
</p></abstract><kwd-group><kwd>COVID-19</kwd><kwd> AarogyaSetu</kwd><kwd> Behavioral Analysis</kwd><kwd> PDS System</kwd><kwd> Corona</kwd><kwd> SARS-COV-2</kwd></kwd-group></article-meta></front></article>
