Network-Based Analysis of Beijing SARS Data
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- Biosurveillance and Biosecurity ; 2008.
Abstract
In this paper, we analyze Beijing SARS data using methods developed from the complex network analysis literature. Three kinds of SARS-related networks were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general randomized immunization control strategy may not be effective. Instead, a strategy that focuses on nodes (e.g., patients, locations, or occupations) with high degree and strength may lead to more effective outbreak control and management.
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DOI: 10.1007/978-3-540-89746-0_7
PubMed: NONE
PubMed Central: 7121587
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Network-Based Analysis of Beijing SARS Data</title></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">7121587</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121587</idno><idno type="RBID">PMC:7121587</idno><idno type="doi">10.1007/978-3-540-89746-0_7</idno><idno type="pmid">NONE</idno><date when="2008">2008</date><idno type="wicri:Area/Pmc/Corpus">000156</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000156</idno><idno type="wicri:Area/Pmc/Curation">000156</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000156</idno><idno type="wicri:Area/Pmc/Checkpoint">000E01</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000E01</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Network-Based Analysis of Beijing SARS Data</title></analytic><series><title level="j">Biosurveillance and Biosecurity </title><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>In this paper, we analyze Beijing SARS data using methods developed from the complex network analysis literature. Three kinds of SARS-related networks were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general randomized immunization control strategy may not be effective. Instead, a strategy that focuses on nodes (e.g., patients, locations, or occupations) with high degree and strength may lead to more effective outbreak control and management.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Meyers, L A" uniqKey="Meyers L">L.A. Meyers</name></author><author><name sortKey="Pourbohloul, B" uniqKey="Pourbohloul B">B. Pourbohloul</name></author><author><name sortKey="Newman, M E J" uniqKey="Newman M">M.E.J. Newman</name></author><author><name sortKey="Skowronski, D M" uniqKey="Skowronski D">D.M. Skowronski</name></author><author><name sortKey="Brunham, R C" uniqKey="Brunham R">R.C. Brunham</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Riley, S" uniqKey="Riley S">S. Riley</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dye, C" uniqKey="Dye C">C. Dye</name></author><author><name sortKey="Gay, N" uniqKey="Gay N">N. Gay</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Becker, N G" uniqKey="Becker N">N.G. Becker</name></author><author><name sortKey="Glass, K" uniqKey="Glass K">K. Glass</name></author><author><name sortKey="Li, Z" uniqKey="Li Z">Z. Li</name></author><author><name sortKey="Aldis, G K" uniqKey="Aldis G">G.K. Aldis</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Small, M" uniqKey="Small M">M. Small</name></author><author><name sortKey="Tse, C K" uniqKey="Tse C">C.K. Tse</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Barrat, A" uniqKey="Barrat A">A. Barrat</name></author><author><name sortKey="Barthelemy, M" uniqKey="Barthelemy M">M. Barthélemy</name></author><author><name sortKey="Pastorsatorras, R" uniqKey="Pastorsatorras R">R. PastorSatorras</name></author><author><name sortKey="Vespignani, A" uniqKey="Vespignani A">A. Vespignani</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="May, R M" uniqKey="May R">R.M. May</name></author><author><name sortKey="Lloyd, A L" uniqKey="Lloyd A">A.L. Lloyd</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Newman, M E J" uniqKey="Newman M">M.E.J. Newman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pastor Satorras, R" uniqKey="Pastor Satorras R">R. Pastor-Satorras</name></author><author><name sortKey="Vespignani, A" uniqKey="Vespignani A">A. Vespignani</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Albert, R" uniqKey="Albert R">R. Albert</name></author><author><name sortKey="Barabasi, A L" uniqKey="Barabasi A">A.L. Barabási</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Vazquez, A" uniqKey="Vazquez A">A. Vazquez</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Liljeros, F" uniqKey="Liljeros F">F. Liljeros</name></author><author><name sortKey="Edling, C R" uniqKey="Edling C">C.R. Edling</name></author><author><name sortKey="Amaral, L A N" uniqKey="Amaral L">L.A.N. Amaral</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Shen, Z" uniqKey="Shen Z">Z. Shen</name></author><author><name sortKey="Ning, F" uniqKey="Ning F">F. Ning</name></author><author><name sortKey="Zhou, W" uniqKey="Zhou W">W. Zhou</name></author><author><name sortKey="He, X" uniqKey="He X">X. He</name></author><author><name sortKey="Liu, C" uniqKey="Liu C">C. Liu</name></author><author><name sortKey="Chin, D P" uniqKey="Chin D">D.P. Chin</name></author><author><name sortKey="Zhu, Z" uniqKey="Zhu Z">Z. Zhu</name></author><author><name sortKey="Schuchat, A" uniqKey="Schuchat A">A. Schuchat</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chen, Y" uniqKey="Chen Y">Y. Chen</name></author><author><name sortKey="Tseng, C" uniqKey="Tseng C">C. Tseng</name></author><author><name sortKey="King, C" uniqKey="King C">C. King</name></author><author><name sortKey="Wu, T J" uniqKey="Wu T">T.J. Wu</name></author><author><name sortKey="Chen, H" uniqKey="Chen H">H. Chen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bagler, G" uniqKey="Bagler G">G. Bagler</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Vazquez, A" uniqKey="Vazquez A">A. Vazquez</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Clauset, A" uniqKey="Clauset A">A. Clauset</name></author><author><name sortKey="Moore, C" uniqKey="Moore C">C. Moore</name></author><author><name sortKey="Newman, M E J" uniqKey="Newman M">M.E.J. Newman</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hao, M" uniqKey="Hao M">M. Hao</name></author><author><name sortKey="Irwin, K" uniqKey="Irwin K">K. Irwin</name></author><author><name sortKey="Michael, R L" uniqKey="Michael R">R.L. Michael</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ronald, K P" uniqKey="Ronald K">K.P. Ronald</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="chapter-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="publisher-id">978-3-540-89746-0</journal-id><journal-id journal-id-type="doi">10.1007/978-3-540-89746-0</journal-id><journal-id journal-id-type="nlm-ta">Biosurveillance and Biosecurity </journal-id><journal-title-group><journal-title>Biosurveillance and Biosecurity </journal-title><journal-subtitle>International Workshop, BioSecure 2008, Raleigh, NC, USA, December 2, 2008. Proceedings</journal-subtitle></journal-title-group><isbn publication-format="print">978-3-540-89745-3</isbn><isbn publication-format="electronic">978-3-540-89746-0</isbn></journal-meta><article-meta><article-id pub-id-type="pmc">7121587</article-id><article-id pub-id-type="publisher-id">7</article-id><article-id pub-id-type="doi">10.1007/978-3-540-89746-0_7</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Network-Based Analysis of Beijing SARS Data</article-title></title-group><contrib-group content-type="book editors"><contrib contrib-type="editor"><name><surname>Zeng</surname><given-names>Daniel</given-names></name><address><email>zeng@email.arizona.edu</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="editor"><name><surname>Chen</surname><given-names>Hsinchun</given-names></name><address><email>hchen@eller.arizona.edu</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="editor"><name><surname>Rolka</surname><given-names>Henry</given-names></name><address><email>hrr2@cdc.gov</email></address><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="editor"><name><surname>Lober</surname><given-names>Bill</given-names></name><address><email>lober@u.washington.edu</email></address><xref ref-type="aff" rid="Aff4">4</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="GRID">grid.134563.6</institution-id><institution-id institution-id-type="ISNI">000000012168186X</institution-id><institution>MIS Department,</institution><institution>University of Arizona and Chinese Academy of Sciences,</institution></institution-wrap>Tucson, AZ USA</aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="GRID">grid.134563.6</institution-id><institution-id institution-id-type="ISNI">000000012168186X</institution-id><institution>Department of Management Information Systems, Eller College of Management,</institution><institution>The University of Arizona,</institution></institution-wrap>85721 AZ USA</aff><aff id="Aff3"><label>3</label>US CDC, National Center for Public Health Informatics, Atlanta, GA USA</aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="GRID">grid.34477.33</institution-id><institution-id institution-id-type="ISNI">0000000122986657</institution-id><institution>University of Washington, Health Sciences Building,</institution></institution-wrap>1959 NE Pacific St., WA 98195 Seattle, USA</aff></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Zheng</surname><given-names>Xiaolong</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name><surname>Zeng</surname><given-names>Daniel</given-names></name><xref ref-type="aff" rid="Aff5">5</xref><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author"><name><surname>Sun</surname><given-names>Aaron</given-names></name><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author"><name><surname>Luo</surname><given-names>Yuan</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Quanyi</given-names></name><xref ref-type="aff" rid="Aff7">7</xref></contrib><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Feiyue</given-names></name><xref ref-type="aff" rid="Aff5">5</xref></contrib><aff id="Aff5"><label>5</label><institution-wrap><institution-id institution-id-type="GRID">grid.429126.a</institution-id><institution-id institution-id-type="ISNI">000000040644477X</institution-id><institution>The Key Lab of Complex Systems and Intelligence Science,</institution><institution>Institute of Automation, Chinese Academy of Sciences,</institution></institution-wrap>China</aff><aff id="Aff6"><label>6</label><institution-wrap><institution-id institution-id-type="GRID">grid.134563.6</institution-id><institution-id institution-id-type="ISNI">000000012168186X</institution-id><institution>Department of Management Information Systems,</institution><institution>The University of Arizona,</institution></institution-wrap>USA</aff><aff id="Aff7"><label>7</label><institution-wrap><institution-id institution-id-type="GRID">grid.198530.6</institution-id><institution-id institution-id-type="ISNI">0000000088032373</institution-id><institution>Beijing Center for Disease Control and Prevention,</institution></institution-wrap>China</aff></contrib-group><pub-date pub-type="ppub"><year>2008</year></pub-date><volume>5354</volume><fpage>64</fpage><lpage>73</lpage><permissions><copyright-statement>© Springer-Verlag Berlin Heidelberg 2008</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>In this paper, we analyze Beijing SARS data using methods developed from the complex network analysis literature. Three kinds of SARS-related networks were constructed and analyzed, including the patient contact network, the weighted location (district) network, and the weighted occupation network. We demonstrate that a network-based data analysis framework can help evaluate various control strategies. For instance, in the case of SARS, a general randomized immunization control strategy may not be effective. Instead, a strategy that focuses on nodes (e.g., patients, locations, or occupations) with high degree and strength may lead to more effective outbreak control and management.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>SARS</kwd><kwd>Complex network analysis</kwd><kwd>Weighted networks</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer-Verlag Berlin Heidelberg 2008</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc><affiliations><list></list><tree></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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