The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections

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The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various places in the world between 1.5 m and 2.5 m. This would constitutes a critic...

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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:20.500.13067/1684
Enlace del recurso:https://hdl.handle.net/20.500.13067/1684
https://doi.org/10.1007/978-3-030-92163-7_21
Nivel de acceso:acceso restringido
Materia:COVID-19
Weiss probabilistic equation
Outdoor infection
https://purl.org/pe-repo/ocde/ford#2.02.04
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dc.title.es_PE.fl_str_mv The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
title The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
spellingShingle The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
Nieto-Chaupis, Huber
COVID-19
Weiss probabilistic equation
Outdoor infection
https://purl.org/pe-repo/ocde/ford#2.02.04
title_short The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
title_full The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
title_fullStr The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
title_full_unstemmed The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
title_sort The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
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
Weiss probabilistic equation
Outdoor infection
topic COVID-19
Weiss probabilistic equation
Outdoor infection
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 The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various places in the world between 1.5 m and 2.5 m. This would constitutes a critic space of separation among people in the which aerosols might not be effective to infect healthy people. In addition to wearing masks and face protection, the social distancing appears to be critic to keep people far of infections and consequences produced from it. In this way, the paper has opted by the incorporation of a full deterministic model inside the equation of Weiss, by the which it fits well to the action of outdoor infection when wind manages the direction and displacement of aerosols in space. Thus, while a deterministic approach targets to propose a risk’s probability, a probabilistic scenario established by Weiss in conjunction to the deterministic events would yield an approximated model of outdoor infection when there is a continuous source of infected aerosols that are moving through air in according to a wind velocity. The simulations have shown that the present approach is valid to some extent in the sense that only the 1D case is considered. The model can be extended with the implementation of physical variables that can attenuate the presence of disturbs and random noise that minimizes the effectiveness of present proposal.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-03-02T15:25:18Z
dc.date.available.none.fl_str_mv 2022-03-02T15:25:18Z
dc.date.issued.fl_str_mv 2022-01-01
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, September). The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections. In International Conference on Bio-inspired Information and Communication Technologies (pp. 256-268). Springer, Cham.
dc.identifier.isbn.none.fl_str_mv 978-3-030-92163-7
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13067/1684
dc.identifier.journal.es_PE.fl_str_mv Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/978-3-030-92163-7_21
identifier_str_mv Nieto-Chaupis, H. (2021, September). The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections. In International Conference on Bio-inspired Information and Communication Technologies (pp. 256-268). Springer, Cham.
978-3-030-92163-7
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
url https://hdl.handle.net/20.500.13067/1684
https://doi.org/10.1007/978-3-030-92163-7_21
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/restrictedAccess
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eu_rights_str_mv restrictedAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.publisher.es_PE.fl_str_mv Springer
dc.publisher.country.es_PE.fl_str_mv PE
dc.source.es_PE.fl_str_mv AUTONOMA
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reponame_str AUTONOMA-Institucional
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dc.source.volume.es_PE.fl_str_mv 403
dc.source.beginpage.es_PE.fl_str_mv 256
dc.source.endpage.es_PE.fl_str_mv 268
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spelling Nieto-Chaupis, Huber2022-03-02T15:25:18Z2022-03-02T15:25:18Z2022-01-01Nieto-Chaupis, H. (2021, September). The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections. In International Conference on Bio-inspired Information and Communication Technologies (pp. 256-268). Springer, Cham.978-3-030-92163-7https://hdl.handle.net/20.500.13067/1684Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineeringhttps://doi.org/10.1007/978-3-030-92163-7_21The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various places in the world between 1.5 m and 2.5 m. This would constitutes a critic space of separation among people in the which aerosols might not be effective to infect healthy people. In addition to wearing masks and face protection, the social distancing appears to be critic to keep people far of infections and consequences produced from it. In this way, the paper has opted by the incorporation of a full deterministic model inside the equation of Weiss, by the which it fits well to the action of outdoor infection when wind manages the direction and displacement of aerosols in space. Thus, while a deterministic approach targets to propose a risk’s probability, a probabilistic scenario established by Weiss in conjunction to the deterministic events would yield an approximated model of outdoor infection when there is a continuous source of infected aerosols that are moving through air in according to a wind velocity. The simulations have shown that the present approach is valid to some extent in the sense that only the 1D case is considered. The model can be extended with the implementation of physical variables that can attenuate the presence of disturbs and random noise that minimizes the effectiveness of present proposal.application/pdfengSpringerPEinfo:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/AUTONOMA403256268reponame:AUTONOMA-Institucionalinstname:Universidad Autónoma del Perúinstacron:AUTONOMACOVID-19Weiss probabilistic equationOutdoor infectionhttps://purl.org/pe-repo/ocde/ford#2.02.04The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infectionsinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-885http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1684/2/license.txt9243398ff393db1861c890baeaeee5f9MD52ORIGINALThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdfThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdfVer fuenteapplication/pdf98765http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1684/3/The%20Conjunction%20of%20Deterministic%20and%20Probabilistic%20Events%20in%20Realistic%20Scenarios%20of%20Outdoor%20Infections.pdf5cb4d132806336b3c75ad700bec6e6f4MD53TEXTThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdf.txtThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdf.txtExtracted texttext/plain573http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1684/4/The%20Conjunction%20of%20Deterministic%20and%20Probabilistic%20Events%20in%20Realistic%20Scenarios%20of%20Outdoor%20Infections.pdf.txtf6a6e8305fd9a2986c0502cf78cb6380MD54THUMBNAILThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdf.jpgThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections.pdf.jpgGenerated Thumbnailimage/jpeg5721http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1684/5/The%20Conjunction%20of%20Deterministic%20and%20Probabilistic%20Events%20in%20Realistic%20Scenarios%20of%20Outdoor%20Infections.pdf.jpg3dc40628f4978d39881c7bab7e4c74c8MD5520.500.13067/1684oai:repositorio.autonoma.edu.pe:20.500.13067/16842022-03-03 03:00:25.564Repositorio de la Universidad Autonoma del Perúrepositorio@autonoma.pe
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