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Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present

dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2022-04-29T17:33:18Z
dc.date.available2022-04-29T17:33:18Z
dc.date.issued2021-10-18
dc.identifier.citationNieto-Chaupis, H. (2021). Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present. In 2021 Third International Conference on Transdisciplinary AI (TransAI) (pp. 72-73). IEEE.es_PE
dc.identifier.isbn978-1-6654-3412-6
dc.identifier.urihttps://hdl.handle.net/20.500.13067/1813
dc.description.abstractThe data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging to UK, Germany, Italy and Netherlands. The free parameters of model have been coherently linked to data. Interestingly, it was seen that a "silent period" with the lowest cases of infections play a relevant role for new pandemics as well as the apparition of new strains, such as the most recent "delta-variant".es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherUniversidad Autónoma del Perúes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceAUTONOMAes_PE
dc.subjectCOVID-19es_PE
dc.subjectPandemicses_PE
dc.subjectMorphologyes_PE
dc.subjectEuropees_PE
dc.subjectData modelses_PE
dc.subjectArtificial intelligencees_PE
dc.subjectStraines_PE
dc.titlePredictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Presentes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2021 Third International Conference on Transdisciplinary AI (TransAI)es_PE
dc.identifier.doihttps://doi.org/10.1109/TransAI51903.2021.00021
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.publisher.countryPEes_PE
dc.relation.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85125840882&doi=10.1109%2fTransAI51903.2021.00021&partnerID=40es_PE
dc.source.beginpage72es_PE
dc.source.endpage73es_PE


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