Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19

La pandemia de COVID-19 ha tenido un impacto significativo en la salud mental a nivel mundial, con un aumento notable de trastornos como ansiedad, depresión y estrés postraumático. Esta investigación empleó un enfoque de modelado en dinámica de sistemas, integrando variables de salud mental en un mo...

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Autores:
Velasco Gutierrez, Julian David
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2022
Institución:
Universidad Autónoma de Bucaramanga - UNAB
Repositorio:
Repositorio UNAB
Idioma:
spa
OAI Identifier:
oai:repository.unab.edu.co:20.500.12749/22885
Acceso en línea:
http://hdl.handle.net/20.500.12749/22885
Palabra clave:
Systems engineer
Technological innovations
Mental Health
Epidemiological Models
System Dynamics
Simulation methods
Mathematical models
Public health
Model construction
Ingeniería de sistemas
Innovaciones tecnológicas
Métodos de simulación
Modelos matemáticos
Salud pública
Construcción de modelos
Salud mental
COVID-19
Pandemia
Modelos epidemiológicos
Dinámica de sistemas
Simulación
Rights
License
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.title.spa.fl_str_mv Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
dc.title.translated.spa.fl_str_mv Systemic dynamic study about the increase in the incidence of mental health diseases as a result of the Covid19 pandemic
title Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
spellingShingle Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
Systems engineer
Technological innovations
Mental Health
Epidemiological Models
System Dynamics
Simulation methods
Mathematical models
Public health
Model construction
Ingeniería de sistemas
Innovaciones tecnológicas
Métodos de simulación
Modelos matemáticos
Salud pública
Construcción de modelos
Salud mental
COVID-19
Pandemia
Modelos epidemiológicos
Dinámica de sistemas
Simulación
title_short Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
title_full Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
title_fullStr Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
title_full_unstemmed Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
title_sort Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19
dc.creator.fl_str_mv Velasco Gutierrez, Julian David
dc.contributor.advisor.none.fl_str_mv Parra Valencia, Jorge Andrick
dc.contributor.author.none.fl_str_mv Velasco Gutierrez, Julian David
dc.contributor.cvlac.spa.fl_str_mv Parra Valencia, Jorge Andrick [0000160326]
dc.contributor.googlescholar.spa.fl_str_mv Parra Valencia, Jorge Andrick [es&oi=ao]
dc.contributor.orcid.spa.fl_str_mv Parra Valencia, Jorge Andrick [0000-0002-2060-6419]
dc.contributor.apolounab.spa.fl_str_mv Parra Valencia, Jorge Andrick [jorge-andrick-parra-valencia]
dc.subject.keywords.spa.fl_str_mv Systems engineer
Technological innovations
Mental Health
Epidemiological Models
System Dynamics
Simulation methods
Mathematical models
Public health
Model construction
topic Systems engineer
Technological innovations
Mental Health
Epidemiological Models
System Dynamics
Simulation methods
Mathematical models
Public health
Model construction
Ingeniería de sistemas
Innovaciones tecnológicas
Métodos de simulación
Modelos matemáticos
Salud pública
Construcción de modelos
Salud mental
COVID-19
Pandemia
Modelos epidemiológicos
Dinámica de sistemas
Simulación
dc.subject.lemb.spa.fl_str_mv Ingeniería de sistemas
Innovaciones tecnológicas
Métodos de simulación
Modelos matemáticos
Salud pública
Construcción de modelos
dc.subject.proposal.spa.fl_str_mv Salud mental
COVID-19
Pandemia
Modelos epidemiológicos
Dinámica de sistemas
Simulación
description La pandemia de COVID-19 ha tenido un impacto significativo en la salud mental a nivel mundial, con un aumento notable de trastornos como ansiedad, depresión y estrés postraumático. Esta investigación empleó un enfoque de modelado en dinámica de sistemas, integrando variables de salud mental en un modelo epidemiológico SEIR para analizar la relación entre el aumento de muertes por COVID-19 y la incidencia de enfermedades mentales. El modelo reveló que a mayor número de fallecimientos, se incrementa la prevalencia de problemas mentales debido al estrés y duelo asociados. A pesar de medidas de aislamiento, la capacidad de atención psicológica resulta insuficiente en ambos escenarios simulados, subrayando la necesidad de incrementar recursos para la prevención y atención de la salud mental a corto y largo plazo. Se destaca la importancia de promover estrategias de autocuidado, fortalecer redes de apoyo social y aumentar la inversión gubernamental en servicios de salud mental. Este modelo dinámico ofrece una visión profunda de las interrelaciones entre variables epidemiológicas y psicosociales, sugiriendo futuras investigaciones enfocadas en determinantes sociales, diferencias demográficas y efectividad de intervenciones específicas.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022-05-20
dc.date.accessioned.none.fl_str_mv 2023-11-23T15:36:38Z
dc.date.available.none.fl_str_mv 2023-11-23T15:36:38Z
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.local.spa.fl_str_mv Trabajo de Grado
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spelling Parra Valencia, Jorge Andrick3af1a852-f1a7-4ad6-a745-3cede78589b8Velasco Gutierrez, Julian Davidcd102cbf-391a-43e9-b9fb-323a20e5c078Parra Valencia, Jorge Andrick [0000160326]Parra Valencia, Jorge Andrick [es&oi=ao]Parra Valencia, Jorge Andrick [0000-0002-2060-6419]Parra Valencia, Jorge Andrick [jorge-andrick-parra-valencia]ColombiaUNAB Campus Bucaramanga2023-11-23T15:36:38Z2023-11-23T15:36:38Z2022-05-20http://hdl.handle.net/20.500.12749/22885instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coLa pandemia de COVID-19 ha tenido un impacto significativo en la salud mental a nivel mundial, con un aumento notable de trastornos como ansiedad, depresión y estrés postraumático. Esta investigación empleó un enfoque de modelado en dinámica de sistemas, integrando variables de salud mental en un modelo epidemiológico SEIR para analizar la relación entre el aumento de muertes por COVID-19 y la incidencia de enfermedades mentales. El modelo reveló que a mayor número de fallecimientos, se incrementa la prevalencia de problemas mentales debido al estrés y duelo asociados. A pesar de medidas de aislamiento, la capacidad de atención psicológica resulta insuficiente en ambos escenarios simulados, subrayando la necesidad de incrementar recursos para la prevención y atención de la salud mental a corto y largo plazo. Se destaca la importancia de promover estrategias de autocuidado, fortalecer redes de apoyo social y aumentar la inversión gubernamental en servicios de salud mental. Este modelo dinámico ofrece una visión profunda de las interrelaciones entre variables epidemiológicas y psicosociales, sugiriendo futuras investigaciones enfocadas en determinantes sociales, diferencias demográficas y efectividad de intervenciones específicas.TABLA DE FIGURAS GLOSARIO RESUMEN INTRODUCCION 1. PROBLEMA DE INVESTIGACIÓN 1.1 ANTECEDENTES DEL PROBLEMA 1 .2 PLANTEAMIENTO DEL PROBLEMA 1.3 FORMULACIÓN DEL PROBLEMA 2. OBJETIVOS 2.1 Objetivo general 2.2 Objetivos específicos 3. JUSTIFICACIÓN 4. ESTADO DEL ARTE Y/O REVISIÓN DE LA LITERATURA 5. ANÁLISIS BIBLIOMÉTRICO 6. MARCO TEÓRICO 7. DISEÑO METODOLÓGICO 7.1 MÉTODO DE INVESTIGACIÓN 8. RESULTADOS OBTENIDOS 7.1 DESARROLLO OBJETIVO ESPECÍFICO 1 7.2 DESARROLLO OBJETIVO ESPECÍFICO 2 7.3 DESARROLLO OBJETIVO ESPECÍFICO 3 9. CONCLUSIÓN: 10. TRABAJO FUTURO: 11. BIBLIOGRAFÍAPregradoThe COVID-19 pandemic has had a significant impact on global mental health, with a notable increase in disorders such as anxiety, depression, and post-traumatic stress. This research employed a systemic dynamic modeling approach, integrating mental health variables into an SEIR epidemiological model to analyze the relationship between the rise in COVID-19 deaths and the incidence of mental illnesses. The model revealed that a higher number of fatalities leads to an increased prevalence of mental health issues due to associated stress and grief. Despite isolation measures, the psychological care capacity proves inadequate in both simulated scenarios, emphasizing the need to enhance resources for short- and long-term mental health prevention and care. The importance of promoting self-care strategies, strengthening social support networks, and increasing government investment in mental health services is highlighted. This dynamic model provides an in-depth understanding of the interplay between epidemiological and psychosocial variables, suggesting future research directions focusing on social determinants, demographic differences, and the effectiveness of specific interventions.Modalidad Presencialapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Estudio dinámico sistémico acerca del aumento en la incidencia de las enfermedades de salud mental consecuencia de la pandemia Covid19Systemic dynamic study about the increase in the incidence of mental health diseases as a result of the Covid19 pandemicIngeniero de SistemasUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería de Sistemasinfo:eu-repo/semantics/bachelorThesisTrabajo de Gradohttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/acceptedVersionhttp://purl.org/redcol/resource_type/TPSystems engineerTechnological innovationsMental HealthEpidemiological ModelsSystem DynamicsSimulation methodsMathematical modelsPublic healthModel constructionIngeniería de sistemasInnovaciones tecnológicasMétodos de simulaciónModelos matemáticosSalud públicaConstrucción de modelosSalud mentalCOVID-19PandemiaModelos epidemiológicosDinámica de sistemasSimulaciónAbbas, K., Procter, S., & Mannion, R. 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Journal of Affective Disorders, 277, 55-64.World Health Organization. (2017). Depression and other common mental disorders: Global health estimates. Licence: CC BY-NC-SA 3.0 IGO.Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M., Gill, H., Phan, L., Chen-Li, D., Iacobucci, M., Ho, R., Majeed, A., & McIntyre, R. S. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of affective disorders.https://apolo.unab.edu.co/en/persons/jorge-andrick-parra-valenciaTHUMBNAILTesis.pdf.jpgTesis.pdf.jpgIM Thumbnailimage/jpeg5074https://repository.unab.edu.co/bitstream/20.500.12749/22885/4/Tesis.pdf.jpg3c92655f40f404f125d3d53eb8353817MD54open accessLicencia.pdf.jpgLicencia.pdf.jpgIM Thumbnailimage/jpeg12917https://repository.unab.edu.co/bitstream/20.500.12749/22885/5/Licencia.pdf.jpg7d2b5cd896f7ebbc8e47aa035b9666cfMD55metadata only accessORIGINALTesis.pdfTesis.pdfTesisapplication/pdf875505https://repository.unab.edu.co/bitstream/20.500.12749/22885/1/Tesis.pdf943a4567552671d511ad055b01c1abc9MD51open accessLicencia.pdfLicencia.pdfapplication/pdf157895https://repository.unab.edu.co/bitstream/20.500.12749/22885/2/Licencia.pdf90d0cd4740c8ec93f702467f8114fde9MD52metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8829https://repository.unab.edu.co/bitstream/20.500.12749/22885/3/license.txt3755c0cfdb77e29f2b9125d7a45dd316MD53open access20.500.12749/22885oai:repository.unab.edu.co:20.500.12749/228852024-04-25 17:42:04.292open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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