dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2022-03-10T20:50:36Z
dc.date.accessioned2023-05-30T23:14:40Z
dc.date.available2022-03-10T20:50:36Z
dc.date.available2023-05-30T23:14:40Z
dc.date.created2022-03-10T20:50:36Z
dc.date.issued2021-12-15
dc.identifierNieto-Chaupis, H. (2021, October). Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis. In 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 1-5). IEEE.
dc.identifier978-1-6654-4261-9
dc.identifier2471-7819
dc.identifierhttps://hdl.handle.net/20.500.13067/1757
dc.identifier2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)
dc.identifierhttps://doi.org/10.1109/BIBE52308.2021.9635536
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6474210
dc.description.abstractFrom data of USA, Japan, Germany, UK, Italy and Russian, it is claimed that the Global pandemic dictated by the dynamics of Corona virus exhibits distributions that would correspond to a morphology of Bessel-like type. Under the assumption that the pandemic contains phases of infection denoted by the velocity and acceleration of propagation of virus, then a model of polynomials given by the integer-order Bessel functions is proposed. These polynomials enter in a statistical approach to define the law of infections as function of time for the ongoing global pandemic. From this, the data evolution and their different behaviors are interpreted in terms of the different phases including the Delta variant for the recent months until August 2021.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.publisherPE
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123724131&doi=10.1109%2fBIBE52308.2021.9635536&partnerID=40
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceAUTONOMA
dc.source1
dc.source5
dc.subjectCOVID-19
dc.subjectData analysis
dc.subjectPandemics
dc.subjectShape
dc.subjectConferences
dc.subjectMorphology
dc.subjectMathematical models
dc.titleTheory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis
dc.typeinfo:eu-repo/semantics/article


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