dc.contributor.author | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2023-09-27T15:03:12Z | |
dc.date.available | 2023-09-27T15:03:12Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/20.500.13067/2639 | |
dc.description.abstract | Commonly 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.format | application/pdf | es_PE |
dc.language.iso | eng | es_PE |
dc.publisher | IEEE | es_PE |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_PE |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | es_PE |
dc.subject | COVID-19 | es_PE |
dc.subject | Technological innovation | es_PE |
dc.subject | High energy physics | es_PE |
dc.subject | Pandemics | es_PE |
dc.subject | Behavioral sciences | es_PE |
dc.subject | Intelligent systems | es_PE |
dc.subject | Strain | es_PE |
dc.title | Is Omicron Belonging to the Corona Virus Family? A Physics-based Note | es_PE |
dc.type | info:eu-repo/semantics/article | es_PE |
dc.identifier.journal | 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) | es_PE |
dc.identifier.doi | https://doi.org/10.1109/INISTA55318.2022.9894140 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#5.01.00 | es_PE |