Dynamic message-passing approach to epidemic spreading

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dc.contributor.advisorPalassini, Matteo
dc.contributor.authorMeca Montserrat, Adrià
dc.date.accessioned2021-10-05T13:56:58Z
dc.date.available2021-10-05T13:56:58Z
dc.date.issued2021-02
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Matteo Palassinica
dc.description.abstractIn this work, we delve into the analysis of the propagation of infectious diseases described by the SIR epidemiological model on networks whose connections change over time. We use a fast dynamic message-passing method to estimate the marginal probabilities that each node in one of these networks is in a given state at a certain time. After testing the validity of the predictions given by this approach, we apply them to the problem of inferring the origin of an epidemic on a dynamic network.ca
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/180404
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Meca, 2021
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física
dc.subject.classificationMalalties infecciosescat
dc.subject.classificationAnàlisi dinàmica de xarxescat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherCommunicable diseaseseng
dc.subject.otherDynamic network analysiseng
dc.subject.otherBachelor's theseseng
dc.titleDynamic message-passing approach to epidemic spreadingeng
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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