Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis
Descripción del Articulo
From 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 th...
| Autor: | |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Universidad Autónoma del Perú |
| Repositorio: | AUTONOMA-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.autonoma.edu.pe:20.500.13067/1757 |
| Enlace del recurso: | https://hdl.handle.net/20.500.13067/1757 https://doi.org/10.1109/BIBE52308.2021.9635536 |
| Nivel de acceso: | acceso abierto |
| Materia: | COVID-19 Data analysis Pandemics Shape Conferences Morphology Mathematical models https://purl.org/pe-repo/ocde/ford#2.02.04 |
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Nieto-Chaupis, Huber2022-03-10T20:50:36Z2022-03-10T20:50:36Z2021-12-15Nieto-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.978-1-6654-4261-92471-7819https://hdl.handle.net/20.500.13067/17572021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)https://doi.org/10.1109/BIBE52308.2021.9635536From 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.application/pdfengInstitute of Electrical and Electronics EngineersPEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/AUTONOMA15reponame:AUTONOMA-Institucionalinstname:Universidad Autónoma del Perúinstacron:AUTONOMACOVID-19Data analysisPandemicsShapeConferencesMorphologyMathematical modelshttps://purl.org/pe-repo/ocde/ford#2.02.04Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysisinfo:eu-repo/semantics/articlehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123724131&doi=10.1109%2fBIBE52308.2021.9635536&partnerID=40TEXTTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.txtTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.txtExtracted texttext/plain21012http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1757/3/Theory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.txtbe66e8a6dedd218651a2f29ada6a88b7MD53THUMBNAILTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.jpgTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.jpgGenerated Thumbnailimage/jpeg8043http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1757/4/Theory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf.jpg8ca0d88f568c57467a6b4a8a4f937211MD54ORIGINALTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdfTheory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdfArtículoapplication/pdf808737http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1757/1/Theory-and-Parameterization-of-Infections-and-Waves-by-Covid-19-A-6-Countries-Data-Analysis.pdf0333aeccba8bd218d60f9fc0029cb66bMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-885http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1757/2/license.txt9243398ff393db1861c890baeaeee5f9MD5220.500.13067/1757oai:repositorio.autonoma.edu.pe:20.500.13067/17572022-03-11 03:00:23.42Repositorio de la Universidad Autonoma del Perúrepositorio@autonoma.pe |
| dc.title.es_PE.fl_str_mv |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| title |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| spellingShingle |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis Nieto-Chaupis, Huber COVID-19 Data analysis Pandemics Shape Conferences Morphology Mathematical models https://purl.org/pe-repo/ocde/ford#2.02.04 |
| title_short |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| title_full |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| title_fullStr |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| title_full_unstemmed |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| title_sort |
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis |
| author |
Nieto-Chaupis, Huber |
| author_facet |
Nieto-Chaupis, Huber |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Nieto-Chaupis, Huber |
| dc.subject.es_PE.fl_str_mv |
COVID-19 Data analysis Pandemics Shape Conferences Morphology Mathematical models |
| topic |
COVID-19 Data analysis Pandemics Shape Conferences Morphology Mathematical models https://purl.org/pe-repo/ocde/ford#2.02.04 |
| dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
| description |
From 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. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2022-03-10T20:50:36Z |
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2022-03-10T20:50:36Z |
| dc.date.issued.fl_str_mv |
2021-12-15 |
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info:eu-repo/semantics/article |
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article |
| dc.identifier.citation.es_PE.fl_str_mv |
Nieto-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.identifier.isbn.none.fl_str_mv |
978-1-6654-4261-9 |
| dc.identifier.issn.none.fl_str_mv |
2471-7819 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.13067/1757 |
| dc.identifier.journal.es_PE.fl_str_mv |
2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/BIBE52308.2021.9635536 |
| identifier_str_mv |
Nieto-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. 978-1-6654-4261-9 2471-7819 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) |
| url |
https://hdl.handle.net/20.500.13067/1757 https://doi.org/10.1109/BIBE52308.2021.9635536 |
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eng |
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eng |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123724131&doi=10.1109%2fBIBE52308.2021.9635536&partnerID=40 |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
