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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2022-03-02T15:25:18Z
dc.date.available2022-03-02T15:25:18Z
dc.date.issued2021-09
dc.identifier.citationNieto-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.es_PE
dc.identifier.isbn978-3-030-92163-7
dc.identifier.urihttps://hdl.handle.net/20.500.13067/1684
dc.description.abstractThe 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.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherSpringeres_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceAUTONOMAes_PE
dc.subjectCOVID-19es_PE
dc.subjectWeiss probabilistic equationes_PE
dc.subjectOutdoor infectiones_PE
dc.titleThe Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infectionses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journalLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineeringes_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-030-92163-7_21
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.publisher.countryPEes_PE
dc.source.volume403es_PE
dc.source.beginpage256es_PE
dc.source.endpage268es_PE


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