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dc.contributor.authorFernández-Gracia, Juanes_ES
dc.contributor.authorOnnela, Jukka-Pekkaes_ES
dc.contributor.authorBarnett, Michael L.es_ES
dc.contributor.authorEguíluz, Víctor M.es_ES
dc.contributor.authorChristakis, Nicholas A.es_ES
dc.date.accessioned2019-01-15T09:53:42Z-
dc.date.available2019-01-15T09:53:42Z-
dc.date.issued2017-
dc.identifier.citationSocial, Cultural, and Behavioral Modeling. SBP-BRiMS 2017 (2017)es_ES
dc.identifier.isbn978-3-319-60239-4-
dc.identifier.isbn978-3-319-60240-0 (online)-
dc.identifier.urihttp://hdl.handle.net/10261/174096-
dc.descriptionInternational Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation.-- Lee D., Lin YR., Osgood N., Thomson R. (eds).es_ES
dc.description.abstractAntibiotic-resistant organisms, an increasing source of morbidity and mortality, have a natural reservoir in hospitals, and recent estimates suggest that almost 2 million people develop hospital-acquired infections each year in the US alone. We investigate the temporal network of transfers of Medicare patients across US hospitals over a 2-year period to learn about the possible role of hospital-to-hospital transfers of patients in the spread of infections. We analyze temporal, geographical, and topological properties of the transfer network and show that this network may serve as a substrate for the spread of infections. Finally, we study different strategies for the early detection of incipient epidemics on the temporal transfer network as a function of activation time of a subset of sensor hospitals. We find that using approximately 2% of hospitals as sensors, chosen based on their network in-degree, with an activation time of 7 days results in optimal performance for this early warning system, enabling the early detection of 80% of the C. difficile. cases with the hospitals in the sensor set activated for only a fraction of 40% of the time.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsclosedAccesses_ES
dc.subjectNosocomial Infectiones_ES
dc.subjectMedicare Patientes_ES
dc.subjectTemporal Networkes_ES
dc.subjectPatient Transferes_ES
dc.subjectNetwork Neighbores_ES
dc.titleSpread of Pathogens in the Patient Transfer Network of US Hospitalses_ES
dc.typecomunicación de congresoes_ES
dc.identifier.doi10.1007/978-3-319-60240-0_33-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-319-60240-0_33es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.type.coarhttp://purl.org/coar/resource_type/c_5794es_ES
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypecomunicación de congreso-
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