Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome
Identifieur interne : 000204 ( Pmc/Curation ); précédent : 000203; suivant : 000205Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome
Auteurs :Source :
- Advances in Data Science, Cyber Security and IT Applications ; 2019.
Abstract
People in the Middle East have been affected by the Middle East Respiratory Syndrome CoronaVirus (MERS Co-V) since 2012. New cases are continuously reported especially in the Kingdom of Saudi Arabia, and the risk of exposure remains an issue. Data visualization plays a vital role in effective analysis of the data. In this paper, we introduce an interactive visualization application for MERS data collected from the Control and Command Centre, Ministry of Health website of Saudi Arabia. The data corresponding to the period from January 1, 2019 to February 28, 2019 was used in the present work. The attributes considered include gender, age, date of reporting, city, region, camel contact, description and status of the patient. The visualization tool has been developed using Shiny framework of R programming language. The application presents information in the form of interactive plots, maps and tables. The salient feature of the tool is that users can view and download data corresponding to the period of their choice. This tool can help decision makers in the detailed analysis of data and hence devise measures to prevent the spread of the disease.
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DOI: 10.1007/978-3-030-36365-9_16
PubMed: NONE
PubMed Central: 7122755
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<front><journal-meta><journal-id journal-id-type="publisher-id">978-3-030-36365-9</journal-id><journal-id journal-id-type="doi">10.1007/978-3-030-36365-9</journal-id><journal-id journal-id-type="nlm-ta">Advances in Data Science, Cyber Security and IT Applications</journal-id><journal-title-group><journal-title>Advances in Data Science, Cyber Security and IT Applications</journal-title><journal-subtitle>First International Conference on Computing, ICC 2019, Riyadh, Saudi Arabia, December 10–12, 2019, Proceedings, Part I</journal-subtitle></journal-title-group><isbn publication-format="print">978-3-030-36364-2</isbn><isbn publication-format="electronic">978-3-030-36365-9</isbn></journal-meta><article-meta><article-id pub-id-type="pmc">7122755</article-id><article-id pub-id-type="publisher-id">16</article-id><article-id pub-id-type="doi">10.1007/978-3-030-36365-9_16</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Shiny Framework Based Visualization and Analytics Tool for Middle East Respiratory Syndrome</article-title></title-group><contrib-group content-type="book editors"><contrib contrib-type="editor"><name><surname>Alfaries</surname><given-names>Auhood</given-names></name><address><email>AAALFARIES@pnu.edu.sa</email></address><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="editor"><name><surname>Mengash</surname><given-names>Hanan</given-names></name><address><email>hamengash@pnu.edu.sa</email></address><xref ref-type="aff" rid="Aff7">7</xref></contrib><contrib contrib-type="editor"><name><surname>Yasar</surname><given-names>Ansar</given-names></name><address><email>ansar.yasar@uhasselt.be</email></address><xref ref-type="aff" rid="Aff8">8</xref></contrib><contrib contrib-type="editor"><name><surname>Shakshuki</surname><given-names>Elhadi</given-names></name><address><email>elhadi.shakshuki@acadiau.ca</email></address><xref ref-type="aff" rid="Aff9">9</xref></contrib><aff id="Aff6"><label>6</label>Princess Nourah Bint Abdul Rahman University, Riyadh, Saudi Arabia</aff><aff id="Aff7"><label>7</label>Princess Nourah Bint Abdul Rahman University, Riyadh, Saudi Arabia</aff><aff id="Aff8"><label>8</label><institution-wrap><institution-id institution-id-type="GRID">grid.12155.32</institution-id><institution-id institution-id-type="ISNI">0000 0001 0604 5662</institution-id><institution>Hasselt University,</institution></institution-wrap>Hasselt, Belgium</aff><aff id="Aff9"><label>9</label><institution-wrap><institution-id institution-id-type="GRID">grid.411959.1</institution-id><institution-id institution-id-type="ISNI">0000 0004 1936 9633</institution-id><institution>Acadia University,</institution></institution-wrap>Wolfville, NS Canada</aff></contrib-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-0825-1184</contrib-id><name><surname>John</surname><given-names>Maya</given-names></name><address><email>maya.j.mail@gmail.com</email></address><xref ref-type="aff" rid="Aff10">10</xref></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-1652-6579</contrib-id><name><surname>Shaiba</surname><given-names>Hadil</given-names></name><address><email>hashaiba@pnu.edu.sa</email></address><xref ref-type="aff" rid="Aff11">11</xref></contrib><aff id="Aff10"><label>10</label><institution-wrap><institution-id institution-id-type="GRID">grid.464509.a</institution-id><institution>Sree Buddha College of Engineering,</institution></institution-wrap>Pathanamthitta, Kerala India</aff><aff id="Aff11"><label>11</label><institution-wrap><institution-id institution-id-type="GRID">grid.449346.8</institution-id><institution-id institution-id-type="ISNI">0000 0004 0501 7602</institution-id><institution>Princess Nourah Bint Abdulrahman University,</institution></institution-wrap>Riyadh, Kingdom of Saudi Arabia</aff></contrib-group><pub-date pub-type="epub"><day>04</day><month>12</month><year>2019</year></pub-date><pub-date pub-type="collection"><year>2019</year></pub-date><volume>1097</volume><fpage>193</fpage><lpage>202</lpage><permissions><copyright-statement>© Springer Nature Switzerland AG 2019</copyright-statement><license><license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p></license></permissions><abstract id="Abs1"><p id="Par1">People in the Middle East have been affected by the Middle East Respiratory Syndrome CoronaVirus (MERS Co-V) since 2012. New cases are continuously reported especially in the Kingdom of Saudi Arabia, and the risk of exposure remains an issue. Data visualization plays a vital role in effective analysis of the data. In this paper, we introduce an interactive visualization application for MERS data collected from the Control and Command Centre, Ministry of Health website of Saudi Arabia. The data corresponding to the period from January 1, 2019 to February 28, 2019 was used in the present work. The attributes considered include gender, age, date of reporting, city, region, camel contact, description and status of the patient. The visualization tool has been developed using Shiny framework of R programming language. The application presents information in the form of interactive plots, maps and tables. The salient feature of the tool is that users can view and download data corresponding to the period of their choice. This tool can help decision makers in the detailed analysis of data and hence devise measures to prevent the spread of the disease.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>MERS</kwd><kwd>Data visualization</kwd><kwd>Shiny framework</kwd><kwd>Coronavirus</kwd><kwd>Location-based analysis</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer Nature Switzerland AG 2019</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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