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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2023-09-27T15:03:12Z
dc.date.available2023-09-27T15:03:12Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.13067/2639
dc.description.abstractCommonly in High Energy Physics (HEP) it is applied a set of cuts to discriminate the background events from the searched signal. In order to claim any discovery the signal should be big enough in comparison to noise. In this paper this procedure is approximately done to study the behavior of the statistics of infections by the variant called Omicron and the previous ones at the period 2020-2022 inside the context of the pandemic of Covid-19. Under the HEP view, Omicron would be the signal whereas all others fit well their role as background. This allows to claim that Omicron might not be directly linked to the Corona virus family in according to analysis presented at this study.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.subjectCOVID-19es_PE
dc.subjectTechnological innovationes_PE
dc.subjectHigh energy physicses_PE
dc.subjectPandemicses_PE
dc.subjectBehavioral scienceses_PE
dc.subjectIntelligent systemses_PE
dc.subjectStraines_PE
dc.titleIs Omicron Belonging to the Corona Virus Family? A Physics-based Notees_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)es_PE
dc.identifier.doihttps://doi.org/10.1109/INISTA55318.2022.9894140
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#5.01.00es_PE


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