An optimization model to select policies for cervical cancer prevention and surveillance in Colombia

"Analyzing the population dynamics of Cervical Cancer (CC) in Colombia, in order to achieve an efficient selection of policies for the prevention and surveillance of the disease, which must adjust to the budget or governmental restrictions and allow to reduce the prevalence in all its states. A...

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Autores:
Acevedo Cubides, Diana María
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2018
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/40354
Acceso en línea:
http://hdl.handle.net/1992/40354
Palabra clave:
Utero
Optimización matemática
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mura, Ivan7c2441cb-5ff6-4d33-9d9a-0bdaab7701dd500Acevedo Cubides, Diana María4cdedc8b-8d14-453b-8ef4-e5224aeabcbe500Otero León, Daniel Felipe2020-06-10T17:07:52Z2020-06-10T17:07:52Z2018http://hdl.handle.net/1992/40354u808250.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/"Analyzing the population dynamics of Cervical Cancer (CC) in Colombia, in order to achieve an efficient selection of policies for the prevention and surveillance of the disease, which must adjust to the budget or governmental restrictions and allow to reduce the prevalence in all its states. A Linear Optimization Model is implemented to serve as support to the decision making of selection of Vaccination and Screening interventions for the prevention of the Human Papilloma Virus and treatment of Neoplastic Lesions and CC."-- Tomado del Formato de Documento de Grado"Análisis de la dinámica poblacional del cáncer de cuello uterino (CC) en Colombia, para lograr una selección eficiente de políticas para la prevención y vigilancia de la enfermedad, que debe ajustarse al presupuesto o restricciones gubernamentales y permiten reducir la prevalencia en todo sus estados. Un Modelo de Optimización Lineal se implementa para servir como apoyo a la toma de decisiones de selección de intervenciones de vacunación y cribado para la prevención del virus del papiloma humano y el tratamiento de lesiones neoplásicas y CC."-- Tomado del Formato de Documento de GradoIngeniero IndustrialPregrado37 hojasapplication/pdfengUniandesIngeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería Industrialinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaAn optimization model to select policies for cervical cancer prevention and surveillance in ColombiaTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TPUteroOptimización matemáticaIngenieríaPublicationORIGINALu808250.pdfapplication/pdf760347https://repositorio.uniandes.edu.co/bitstreams/0ecf6511-b2e8-446f-ba71-2079831b5336/downloada62b8b99dca3694e87cc658cf91dfbc5MD51THUMBNAILu808250.pdf.jpgu808250.pdf.jpgIM Thumbnailimage/jpeg15488https://repositorio.uniandes.edu.co/bitstreams/7ae13cd8-7820-4b7b-b9a9-83bcc20bdbff/download5c9d7114665751fcf4cafef6a117da40MD55TEXTu808250.pdf.txtu808250.pdf.txtExtracted texttext/plain63075https://repositorio.uniandes.edu.co/bitstreams/28366d53-17bf-499b-a9dc-8a772a4e8064/download901d428288eec9e5b140cff8304fc9bdMD541992/40354oai:repositorio.uniandes.edu.co:1992/403542023-10-10 19:04:57.486https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.es_CO.fl_str_mv An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
title An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
spellingShingle An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
Utero
Optimización matemática
Ingeniería
title_short An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
title_full An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
title_fullStr An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
title_full_unstemmed An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
title_sort An optimization model to select policies for cervical cancer prevention and surveillance in Colombia
dc.creator.fl_str_mv Acevedo Cubides, Diana María
dc.contributor.advisor.none.fl_str_mv Mura, Ivan
dc.contributor.author.none.fl_str_mv Acevedo Cubides, Diana María
dc.contributor.jury.none.fl_str_mv Otero León, Daniel Felipe
dc.subject.keyword.es_CO.fl_str_mv Utero
Optimización matemática
topic Utero
Optimización matemática
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description "Analyzing the population dynamics of Cervical Cancer (CC) in Colombia, in order to achieve an efficient selection of policies for the prevention and surveillance of the disease, which must adjust to the budget or governmental restrictions and allow to reduce the prevalence in all its states. A Linear Optimization Model is implemented to serve as support to the decision making of selection of Vaccination and Screening interventions for the prevention of the Human Papilloma Virus and treatment of Neoplastic Lesions and CC."-- Tomado del Formato de Documento de Grado
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-06-10T17:07:52Z
dc.date.available.none.fl_str_mv 2020-06-10T17:07:52Z
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dc.publisher.program.es_CO.fl_str_mv Ingeniería Industrial
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Industrial
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