Spatial epidemic patterns recognition using computer algebra

dc.contributor.authorHincapié, D.
dc.contributor.authorOspina, J.
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupLógica y Computaciónspa
dc.creatorHincapié, D.
dc.creatorOspina, J.
dc.date.accessioned2021-03-26T21:35:20Z
dc.date.available2021-03-26T21:35:20Z
dc.date.issued2007-01-01
dc.description.abstractAn exploration in Symbolic Computational bio-surveillance is showed. The main obtained results are that the geometry of the habitat determines the critical parameters via the zeroes of the Bessel functions and the explicit forms of the static and non-static spatial epidemic patterns. © Springer-Verlag Berlin Heidelberg 2007.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1875
dc.identifier.doi10.1007/978-3-540-72608-1_22
dc.identifier.issn03029743
dc.identifier.issn16113349
dc.identifier.otherWOS;000246687800022
dc.identifier.otherSCOPUS;2-s2.0-37249082970
dc.identifier.urihttp://hdl.handle.net/10784/27407
dc.language.isoengeng
dc.publisherSPRINGER
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-37249082970&partnerID=40&md5=1e6afbbffb518084e77be27af203978c
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0302-9743
dc.sourceLecture Notes In Computer Science
dc.subject.keywordBessel functionseng
dc.subject.keywordPattern recognitioneng
dc.subject.keywordCritical parameterseng
dc.subject.keywordEndemic boundaryeng
dc.subject.keywordPan endemic stateeng
dc.subject.keywordSpatial epidemic patternseng
dc.subject.keywordVelocity of propagationeng
dc.subject.keywordEpidemiologyeng
dc.titleSpatial epidemic patterns recognition using computer algebraeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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