Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases
Identifieur interne : 000273 ( Istex/Corpus ); précédent : 000272; suivant : 000274Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases
Auteurs : Bin Yu ; Jijun Wang ; Michael Mcgowan ; Ganesh Vaidyanathan ; Kristofer YoungerSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.
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DOI: 10.1007/978-3-642-12079-4_26
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byu@quantumleap.us</mods:affiliation></affiliation></author><author><name sortKey="Wang, Jijun" sort="Wang, Jijun" uniqKey="Wang J" first="Jijun" last="Wang">Jijun Wang</name><affiliation><mods:affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jw@quantumleap.us</mods:affiliation></affiliation></author><author><name sortKey="Mcgowan, Michael" sort="Mcgowan, Michael" uniqKey="Mcgowan M" first="Michael" last="Mcgowan">Michael Mcgowan</name><affiliation><mods:affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: mtm@quantumleap.us</mods:affiliation></affiliation></author><author><name sortKey="Vaidyanathan, Ganesh" sort="Vaidyanathan, Ganesh" uniqKey="Vaidyanathan G" first="Ganesh" last="Vaidyanathan">Ganesh Vaidyanathan</name><affiliation><mods:affiliation>Quantum Leap 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xml:lang="en">Abstract: In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><author><json:item><name>Bin Yu</name><affiliations><json:string>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</json:string><json:string>E-mail: byu@quantumleap.us</json:string></affiliations></json:item><json:item><name>Jijun Wang</name><affiliations><json:string>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</json:string><json:string>E-mail: jw@quantumleap.us</json:string></affiliations></json:item><json:item><name>Michael McGowan</name><affiliations><json:string>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</json:string><json:string>E-mail: mtm@quantumleap.us</json:string></affiliations></json:item><json:item><name>Ganesh Vaidyanathan</name><affiliations><json:string>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</json:string><json:string>E-mail: gv@quantumleap.us</json:string></affiliations></json:item><json:item><name>Kristofer Younger</name><affiliations><json:string>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</json:string><json:string>E-mail: ky@quantumleap.us</json:string></affiliations></json:item></author><arkIstex>ark:/67375/HCB-9XWHF4CP-3</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.</abstract><qualityIndicators><score>6.188</score><pdfWordCount>3024</pdfWordCount><pdfCharCount>17581</pdfCharCount><pdfVersion>1.6</pdfVersion><pdfPageCount>9</pdfPageCount><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><abstractWordCount>97</abstractWordCount><abstractCharCount>689</abstractCharCount><keywordCount>0</keywordCount></qualityIndicators><title>Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases</title><chapterId><json:string>26</json:string><json:string>Chap26</json:string></chapterId><genre><json:string>conference</json:string></genre><serie><title>Lecture Notes in Computer Science</title><language><json:string>unknown</json:string></language><copyrightDate>2010</copyrightDate><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><editor><json:item><name>David Hutchison</name><affiliations><json:string>Lancaster University, Lancaster, UK</json:string></affiliations></json:item><json:item><name>Takeo Kanade</name><affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string></affiliations></json:item><json:item><name>Josef Kittler</name><affiliations><json:string>University of Surrey, Guildford, UK</json:string></affiliations></json:item><json:item><name>Jon M. 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in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation><orgName type="institution">Lancaster University</orgName><address><settlement>Lancaster</settlement><country key="GB">UNITED KINGDOM</country></address></affiliation></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation><orgName type="institution">Carnegie Mellon University</orgName><address><settlement>Pittsburgh</settlement><region>PA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation><orgName type="institution">University of Surrey</orgName><address><settlement>Guildford</settlement><country key="GB">UNITED KINGDOM</country></address></affiliation></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation><orgName type="institution">Cornell University</orgName><address><settlement>Ithaca</settlement><region>NY</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation><orgName type="institution">ETH Zurich</orgName><address><settlement>Zurich</settlement><country key="CH">SWITZERLAND</country></address></affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation><orgName type="institution">Stanford University</orgName><address><settlement>Stanford</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation><orgName type="institution">Weizmann Institute of Science</orgName><address><settlement>Rehovot</settlement><country key="IL">ISRAEL</country></address></affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation><orgName type="institution">University of Bern</orgName><address><settlement>Bern</settlement><country key="CH">SWITZERLAND</country></address></affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation><orgName type="institution">Indian Institute of Technology</orgName><address><settlement>Madras</settlement><country key="IN">INDIA</country></address></affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation><orgName type="institution">University of Dortmund</orgName><address><settlement>Dortmund</settlement><country key="DE">GERMANY</country></address></affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation><orgName type="institution">Massachusetts Institute of Technology</orgName><address><region>MA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation><orgName type="institution">University of California</orgName><address><settlement>Los Angeles</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation><orgName type="institution">University of California</orgName><address><settlement>Berkeley</settlement><region>CA</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation><orgName type="institution">Rice University</orgName><address><settlement>Houston</settlement><region>TX</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation><orgName type="institution">Max-Planck Institute of Computer Science</orgName><address><settlement>Saarbrücken</settlement><country key="DE">GERMANY</country></address></affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesID">558</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en"><head>Abstract</head><p>In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.</p></abstract><textClass ana="subject"><keywords scheme="book-subject-collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject"><list><label>I</label><item><term type="Primary">Computer Science</term></item><label>I24040</label><item><term type="Secondary" subtype="priority-1">Computers and Society</term></item><label>I23028</label><item><term type="Secondary" subtype="priority-2">Computer Appl. in Social and Behavioral Sciences</term></item><label>I24067</label><item><term type="Secondary" subtype="priority-3">Management of Computing and Information Systems</term></item><label>I18030</label><item><term type="Secondary" subtype="priority-4">Data Mining and Knowledge Discovery</term></item><label>I13022</label><item><term 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University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-12079-4</BookID><BookTitle>Advances in Social Computing</BookTitle><BookSubTitle>Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, USA, March 30-31, 2010. Proceedings</BookSubTitle><BookVolumeNumber>6007</BookVolumeNumber><BookSequenceNumber>6007</BookSequenceNumber><BookDOI>10.1007/978-3-642-12079-4</BookDOI><BookTitleID>209842</BookTitleID><BookPrintISBN>978-3-642-12078-7</BookPrintISBN><BookElectronicISBN>978-3-642-12079-4</BookElectronicISBN><BookChapterCount>53</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I24040" Priority="1" Type="Secondary">Computers and Society</BookSubject><BookSubject Code="I23028" Priority="2" Type="Secondary">Computer Appl. in Social and Behavioral Sciences</BookSubject><BookSubject Code="I24067" Priority="3" Type="Secondary">Management of Computing and Information Systems</BookSubject><BookSubject Code="I18030" Priority="4" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I13022" Priority="5" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18040" Priority="6" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Sun-Ki</GivenName><FamilyName>Chai</FamilyName></EditorName><Contact><Email>sunki@hawaii.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>John</GivenName><GivenName>J.</GivenName><FamilyName>Salerno</FamilyName></EditorName><Contact><Email>john.salerno@rl.af.mil</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Patricia</GivenName><GivenName>L.</GivenName><FamilyName>Mabry</FamilyName></EditorName><Contact><Email>mabryp@od.nih.gov</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Department of Sociology</OrgDivision><OrgName>University of Hawaii</OrgName><OrgAddress><Street>2424 Maile Way, Saunders Hall 237</Street><Postcode>956-7234</Postcode><City>Honolulu</City><State>HI</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Air Force Research Laboratory</OrgDivision><OrgName>Rome Research Site, AFRL/RIEF</OrgName><OrgAddress><Street>525 Brooks Road</Street><Postcode>NY 13441</Postcode><City>Rome</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Department of Behavioral and Social Sciences Research</OrgDivision><OrgName>National Institute of Health (NIH)</OrgName><OrgAddress><Street>31 Center Drive</Street><Postcode>20892-2027</Postcode><City>Bethesda</City><State>MD</State><Country>USA</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Chapter ID="Chap26" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>26</ChapterID><ChapterDOI>10.1007/978-3-642-12079-4_26</ChapterDOI><ChapterSequenceNumber>26</ChapterSequenceNumber><ChapterTitle Language="En">Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases</ChapterTitle><ChapterFirstPage>199</ChapterFirstPage><ChapterLastPage>207</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><BookID>978-3-642-12079-4</BookID><BookTitle>Advances in Social Computing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Bin</GivenName><FamilyName>Yu</FamilyName></AuthorName><Contact><Email>byu@quantumleap.us</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Jijun</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>jw@quantumleap.us</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Michael</GivenName><FamilyName>McGowan</FamilyName></AuthorName><Contact><Email>mtm@quantumleap.us</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Ganesh</GivenName><FamilyName>Vaidyanathan</FamilyName></AuthorName><Contact><Email>gv@quantumleap.us</Email></Contact></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Kristofer</GivenName><FamilyName>Younger</FamilyName></AuthorName><Contact><Email>ky@quantumleap.us</Email></Contact></Author><Affiliation ID="Aff19"><OrgName>Quantum Leap Innovations</OrgName><OrgAddress><Street>3 Innovation Way, Suite 100</Street><City>Newark</City><State>DE</State><Postcode>19711</Postcode><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Gryphon: A Hybrid Agent-Based Modeling and Simulation Platform for Infectious Diseases</title></titleInfo><name type="personal"><namePart type="given">Bin</namePart><namePart type="family">Yu</namePart><affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</affiliation><affiliation>E-mail: byu@quantumleap.us</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jijun</namePart><namePart type="family">Wang</namePart><affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</affiliation><affiliation>E-mail: jw@quantumleap.us</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">McGowan</namePart><affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</affiliation><affiliation>E-mail: mtm@quantumleap.us</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ganesh</namePart><namePart type="family">Vaidyanathan</namePart><affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</affiliation><affiliation>E-mail: gv@quantumleap.us</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kristofer</namePart><namePart type="family">Younger</namePart><affiliation>Quantum Leap Innovations, 3 Innovation Way, Suite 100, 19711, Newark, DE, USA</affiliation><affiliation>E-mail: ky@quantumleap.us</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="conference" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: In this paper we present Gryphon, a hybrid agent-based stochastic modeling and simulation platform developed for characterizing the geographic spread of infectious diseases and the effects of interventions. We study both local and non-local transmission dynamics of stochastic simulations based on the published parameters and data for SARS. The results suggest that the expected numbers of infections and the timeline of control strategies predicted by our stochastic model are in reasonably good agreement with previous studies. These preliminary results indicate that Gryphon is able to characterize other future infectious diseases and identify endangered regions in advance.</abstract><relatedItem type="host"><titleInfo><title>Advances in Social Computing</title><subTitle>Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, USA, March 30-31, 2010. 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