The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
Descripción del Articulo
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...
| Autor: | |
|---|---|
| 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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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 |
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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 |
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https://hdl.handle.net/20.500.13067/1684 https://doi.org/10.1007/978-3-030-92163-7_21 |
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eng |
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eng |
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info:eu-repo/semantics/restrictedAccess |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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restrictedAccess |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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application/pdf |
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Springer |
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PE |
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AUTONOMA |
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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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