Una aplicación en la evaluación del impacto del confinamiento estricto por la Covid-19 en la calidad del aire en la ciudad de Medellín basado en modelos Bayesianos Dinámicos Multivariados y Espaciales

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dc.contributor.advisorRamírez, Isabel
dc.contributor.advisorCardona Jiménez, Johnatan
dc.contributor.authorPérez Aguirre, Carlos Andrés
dc.contributor.cvlac0001822280spa
dc.contributor.orcid00000-003-4937-1163spa
dc.contributor.orcid00000-002-3156-2482spa
dc.contributor.orcidCardona Jiménez, Johnatan [0000-0002-6370-8837]spa
dc.contributor.researchgroupGrupo de Investigación en Estadística Universidad Nacional de Colombia, Sede Medellínspa
dc.date.accessioned2023-04-26T19:27:51Z
dc.date.available2023-04-26T19:27:51Z
dc.date.issued2022-12-13
dc.descriptionilustraciones, diagramasspa
dc.description.abstractEn la ciudad de Medellín y demás municipios del Valle de Aburrá los episodios de altos niveles de contaminación en el aire han sido recurrentes en los últimos años. Múltiples estudios realizados por universidades de la región y entes gubernamentales han presentado evidencia del impacto negativo en la salud de los habitantes de la región asociado a varios tipos de contaminantes presentes en el aire. Las medidas de aislamiento provocadas por la pandemia SARS-CoV-2 (Covid-19) durante inicios del 2020 provocaron una reducción drástica del flujo vehicular. Así, en este proyecto proponemos e implementamos mediante un paquete en R un método estadístico basado en modelos dinámicos espacio-temporales para evaluar el impacto de la reducción del flujo vehicular en la presencia de contaminantes (PM 10, PM 2.5, NO, NO2, NOx). En esta tesis encontramos que se presenta una reducción en la concentración en el aire de los contaminantes previamente mencionados. (Texto tomado de la fuente)spa
dc.description.abstractIn the city of Medellín and other municipalities in the Aburrá Valley, episodes of high levels of air pollution have been recurrent in recent years. Multiple studies carried out by universities in the region and government entities 1, have presented evidence of the negative impact on the health of the inhabitants of the region associated with various types of pollutants present in the air. The isolation measures caused by the SARS-CoV-2 (Covid-19) pandemic during early 2020 caused a drastic reduction in vehicular flow. Thus, in this project we propose and implement in R pacakge a statistical method based on space-time dynamic models to assess the impact of reducing vehicular flow in the presence of pollutants (PM 10, PM 2.5, NO2, NOx). In this thesis we find that there is a reduction in the concentration in the air of the previously mentioned pollutants.eng
dc.description.curricularareaÁrea Curricular Estadísticaspa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ciencias - Estadísticaspa
dc.description.researchareaEstadística Bayesianaspa
dc.format.extentxi, 86 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/83794
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.facultyFacultad de Cienciasspa
dc.publisher.placeMedellín, Colombiaspa
dc.publisher.programMedellín - Ciencias - Maestría en Ciencias - Estadísticaspa
dc.relation.indexedRedColspa
dc.relation.indexedLaReferenciaspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseReconocimiento 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/spa
dc.subject.ddc510 - Matemáticas::519 - Probabilidades y matemáticas aplicadasspa
dc.subject.lembTeoría Bayesiana de decisiones estadísticasspa
dc.subject.lembBayesian statistical decision theoryeng
dc.subject.lembStatistical decisioneng
dc.subject.lembDecisiones estadísticasspa
dc.subject.proposalSeries de tiempospa
dc.subject.proposalAnálisis de intervenciónspa
dc.subject.proposalInferencia Bayesianaspa
dc.subject.proposalCalidad del airespa
dc.subject.proposalModelos dinámicos espacio-temporalesspa
dc.subject.proposalIntervention analysiseng
dc.subject.proposalBayesian inferenceeng
dc.subject.proposalSpace-time dynamic modelseng
dc.subject.proposalAir qualityeng
dc.titleUna aplicación en la evaluación del impacto del confinamiento estricto por la Covid-19 en la calidad del aire en la ciudad de Medellín basado en modelos Bayesianos Dinámicos Multivariados y Espacialesspa
dc.title.translatedAn Application in the Evaluation of the Impact of Strict Confinement by Covid-19 on Air Quality in the City of Medellín Based on Multivariate and Spatial Dynamic Bayesian Modelseng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentPúblico generalspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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