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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2023-10-04T14:49:09Z
dc.date.available2023-10-04T14:49:09Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.13067/2647
dc.description.abstractWhy the number of fatalities is very low at the ongoing Monkeypox pandemic, this question can be answered through the theory of Bayes that would anticipate a posterior probability of fatality that applies to the cases of high risk, from a prior probability of infection. The probability of event is derived from the diffusion equation by which is assumed that the infections as well as the associated virus can flux along the continental and intercontinental countries. The resulting probabilities have been small fact that support the idea that the attained diffusion coefficient is large demonstrating that the diffusion is large but the high risk cases are attenuated.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectPandemicses_PE
dc.subjectSurveillancees_PE
dc.subjectComputational modelinges_PE
dc.subjectEuropees_PE
dc.subjectSolidses_PE
dc.subjectMathematical modelses_PE
dc.subjectArtificial intelligencees_PE
dc.titleSmall Probability of Fatality from Theorem of Bayes at the Monkeypox Pandemices_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)es_PE
dc.identifier.doihttps://doi.org/10.1109/SNPD54884.2022.10051808
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://ieeexplore.ieee.org/document/10051808es_PE


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