Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves

Descripción del Articulo

At the end of first quarter of 2020 it was seen in most countries statistics the beginning of an imminent second wave of pandemic. On January of 2021 it was seen in the data a rapid growth of new infections. In this paper, a geometry-based scheme is presented. In concrete the rectangle and trapezoid...

Descripción completa

Detalles Bibliográficos
Autor: Nieto-Chaupis, Huber
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Autónoma del Perú
Repositorio:AUTONOMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.autonoma.edu.pe:20.500.13067/1818
Enlace del recurso:https://hdl.handle.net/20.500.13067/1818
https://doi.org/10.1109/SNPD51163.2021.9704981
Nivel de acceso:acceso restringido
Materia:Geometry
Pandemics
Shape
Computational modeling
Geometric modeling
Stochastic processes
Probabilistic logic
https://purl.org/pe-repo/ocde/ford#2.02.04
id AUTO_1e3fdb12bfd78aa2f58da7c741629551
oai_identifier_str oai:repositorio.autonoma.edu.pe:20.500.13067/1818
network_acronym_str AUTO
network_name_str AUTONOMA-Institucional
repository_id_str 4774
spelling Nieto-Chaupis, Huber2022-04-29T21:55:03Z2022-04-29T21:55:03Z2022-02-11Nieto-Chaupis, H. (2021). Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves. In 2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) (pp. 86-89). IEEE.978-1-6654-0403-72693-8421https://hdl.handle.net/20.500.13067/18182021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)https://doi.org/10.1109/SNPD51163.2021.9704981At the end of first quarter of 2020 it was seen in most countries statistics the beginning of an imminent second wave of pandemic. On January of 2021 it was seen in the data a rapid growth of new infections. In this paper, a geometry-based scheme is presented. In concrete the rectangle and trapezoid shapes are analyzed. From this, a relation between both geometries is extracted in terms of polynomial functions. The resulting characterization of a pandemic in terms of geometric variables is presented. Thus the present model is confronted with official data of USA and India. From the results of this paper, it is strongly believed that entropy might be behind of a global pandemic dynamics.application/pdfengInstitute of Electrical and Electronics EngineersPEinfo:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/AUTONOMA8689reponame:AUTONOMA-Institucionalinstname:Universidad Autónoma del Perúinstacron:AUTONOMAGeometryPandemicsShapeComputational modelingGeometric modelingStochastic processesProbabilistic logichttps://purl.org/pe-repo/ocde/ford#2.02.04Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Wavesinfo:eu-repo/semantics/articlehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85125737695&doi=10.1109%2fSNPD51163.2021.9704981&partnerID=40&ORIGINALGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdfGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdfVer fuenteapplication/pdf98691http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/3/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf8da99eb034a9f75afdcd1f98cfeaad40MD53TEXTGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdf.txtGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdf.txtExtracted texttext/plain656http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/4/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf.txt20391182af824db6504d8762f662505fMD54THUMBNAILGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdf.jpgGeometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves.pdf.jpgGenerated Thumbnailimage/jpeg5952http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/5/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf.jpgb10431074d073d354b0f3bf8c965b50dMD55LICENSElicense.txtlicense.txttext/plain; charset=utf-885http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/2/license.txt9243398ff393db1861c890baeaeee5f9MD5220.500.13067/1818oai:repositorio.autonoma.edu.pe:20.500.13067/18182022-04-30 03:00:22.214Repositorio de la Universidad Autonoma del Perúrepositorio@autonoma.pe
dc.title.es_PE.fl_str_mv Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
title Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
spellingShingle Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
Nieto-Chaupis, Huber
Geometry
Pandemics
Shape
Computational modeling
Geometric modeling
Stochastic processes
Probabilistic logic
https://purl.org/pe-repo/ocde/ford#2.02.04
title_short Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
title_full Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
title_fullStr Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
title_full_unstemmed Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
title_sort Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
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 Geometry
Pandemics
Shape
Computational modeling
Geometric modeling
Stochastic processes
Probabilistic logic
topic Geometry
Pandemics
Shape
Computational modeling
Geometric modeling
Stochastic processes
Probabilistic logic
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 At the end of first quarter of 2020 it was seen in most countries statistics the beginning of an imminent second wave of pandemic. On January of 2021 it was seen in the data a rapid growth of new infections. In this paper, a geometry-based scheme is presented. In concrete the rectangle and trapezoid shapes are analyzed. From this, a relation between both geometries is extracted in terms of polynomial functions. The resulting characterization of a pandemic in terms of geometric variables is presented. Thus the present model is confronted with official data of USA and India. From the results of this paper, it is strongly believed that entropy might be behind of a global pandemic dynamics.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-04-29T21:55:03Z
dc.date.available.none.fl_str_mv 2022-04-29T21:55:03Z
dc.date.issued.fl_str_mv 2022-02-11
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_PE.fl_str_mv Nieto-Chaupis, H. (2021). Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves. In 2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) (pp. 86-89). IEEE.
dc.identifier.isbn.none.fl_str_mv 978-1-6654-0403-7
dc.identifier.issn.none.fl_str_mv 2693-8421
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13067/1818
dc.identifier.journal.es_PE.fl_str_mv 2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/SNPD51163.2021.9704981
identifier_str_mv Nieto-Chaupis, H. (2021). Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves. In 2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) (pp. 86-89). IEEE.
978-1-6654-0403-7
2693-8421
2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
url https://hdl.handle.net/20.500.13067/1818
https://doi.org/10.1109/SNPD51163.2021.9704981
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125737695&doi=10.1109%2fSNPD51163.2021.9704981&partnerID=40&
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.uri.es_PE.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers
dc.publisher.country.es_PE.fl_str_mv PE
dc.source.es_PE.fl_str_mv AUTONOMA
dc.source.none.fl_str_mv reponame:AUTONOMA-Institucional
instname:Universidad Autónoma del Perú
instacron:AUTONOMA
instname_str Universidad Autónoma del Perú
instacron_str AUTONOMA
institution AUTONOMA
reponame_str AUTONOMA-Institucional
collection AUTONOMA-Institucional
dc.source.beginpage.es_PE.fl_str_mv 86
dc.source.endpage.es_PE.fl_str_mv 89
bitstream.url.fl_str_mv http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/3/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf
http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/4/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf.txt
http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/5/Geometrical%20Schemes%20as%20Probabilistic%20and%20Entropic%20Tools%20to%20Estimate%20Duration%20and%20Peaks%20of%20Pandemic%20Waves.pdf.jpg
http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1818/2/license.txt
bitstream.checksum.fl_str_mv 8da99eb034a9f75afdcd1f98cfeaad40
20391182af824db6504d8762f662505f
b10431074d073d354b0f3bf8c965b50d
9243398ff393db1861c890baeaeee5f9
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio de la Universidad Autonoma del Perú
repository.mail.fl_str_mv repositorio@autonoma.pe
_version_ 1774399985153998848
score 13.871801
Geometrical Schemes as Probabilistic and Entropic Tools to Estimate Duration and Peaks of Pandemic Waves
Nota importante:
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).

Ejemplares Similares