Automated evaluation of public health policies for cervical cancer prevention and surveillance
Cervical cancer (CC) is the second leading cause of cancer-related deaths among Colombian women, caused most commonly by the consequences of Human Papillomavirus (HPV) infection. Screening programs, vaccination against HPV and improved socio-economic conditions have significantly reduced CC mortalit...
- Autores:
-
Angulo Díaz, Karen Daniela
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/34227
- Acceso en línea:
- http://hdl.handle.net/1992/34227
- Palabra clave:
- Neoplasmas del cuello uterino - Prevención - Investigaciones - Métodos de simulación
Epidemiología - Investigaciones - Colombia - Estudio de casos
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| title |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| spellingShingle |
Automated evaluation of public health policies for cervical cancer prevention and surveillance Neoplasmas del cuello uterino - Prevención - Investigaciones - Métodos de simulación Epidemiología - Investigaciones - Colombia - Estudio de casos Ingeniería |
| title_short |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| title_full |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| title_fullStr |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| title_full_unstemmed |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| title_sort |
Automated evaluation of public health policies for cervical cancer prevention and surveillance |
| dc.creator.fl_str_mv |
Angulo Díaz, Karen Daniela |
| dc.contributor.advisor.none.fl_str_mv |
Mura, Ivan |
| dc.contributor.author.none.fl_str_mv |
Angulo Díaz, Karen Daniela |
| dc.contributor.jury.none.fl_str_mv |
Akhavan Tabatabaei, Raha Castillo Hernández, Mario |
| dc.subject.keyword.es_CO.fl_str_mv |
Neoplasmas del cuello uterino - Prevención - Investigaciones - Métodos de simulación Epidemiología - Investigaciones - Colombia - Estudio de casos |
| topic |
Neoplasmas del cuello uterino - Prevención - Investigaciones - Métodos de simulación Epidemiología - Investigaciones - Colombia - Estudio de casos Ingeniería |
| dc.subject.themes.none.fl_str_mv |
Ingeniería |
| description |
Cervical cancer (CC) is the second leading cause of cancer-related deaths among Colombian women, caused most commonly by the consequences of Human Papillomavirus (HPV) infection. Screening programs, vaccination against HPV and improved socio-economic conditions have significantly reduced CC mortality rate over the last 40 years. The proper definition of public health policies for prevention and surveillance is of paramount importance to ensure cost-effective disease control strategies are deployed, which make the best usage of the limited available resources. However, predicting the long-term effects of vaccination and screening programs is no trivial at all, as it builds upon the ability to compound the uncertainties associated with the results of interventions on a growing population such as the Colombian one. We propose a compartmentalized epidemiological simulation model based on differential equations, which represents population dynamics, HPV transmission within the population, likelihood of infection clearance, virus induced appearance of precancerous lesions and eventually of CC, as well as the immunity gained with vaccination and the likelihood of early detection provided by screening policies. The model is implemented into an open software tool that allows evaluating the predicted effects of public health policies against HPV, providing valuable support to healthcare decision-makers. |
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2018 |
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2018 |
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2020-06-10T09:00:02Z |
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2020-06-10T09:00:02Z |
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Trabajo de grado - Maestría |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/masterThesis |
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Text |
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http://purl.org/redcol/resource_type/TM |
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http://hdl.handle.net/1992/34227 |
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u807107.pdf |
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repourl:https://repositorio.uniandes.edu.co/ |
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http://hdl.handle.net/1992/34227 |
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u807107.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
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eng |
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eng |
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https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf |
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info:eu-repo/semantics/openAccess |
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openAccess |
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25 hojas |
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application/pdf |
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Uniandes |
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Maestría en Ingeniería Industrial |
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Facultad de Ingeniería |
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Departamento de Ingeniería Industrial |
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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-0bdaab7701dd500Angulo Díaz, Karen Daniela30966500Akhavan Tabatabaei, RahaCastillo Hernández, Mario2020-06-10T09:00:02Z2020-06-10T09:00:02Z2018http://hdl.handle.net/1992/34227u807107.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Cervical cancer (CC) is the second leading cause of cancer-related deaths among Colombian women, caused most commonly by the consequences of Human Papillomavirus (HPV) infection. Screening programs, vaccination against HPV and improved socio-economic conditions have significantly reduced CC mortality rate over the last 40 years. The proper definition of public health policies for prevention and surveillance is of paramount importance to ensure cost-effective disease control strategies are deployed, which make the best usage of the limited available resources. However, predicting the long-term effects of vaccination and screening programs is no trivial at all, as it builds upon the ability to compound the uncertainties associated with the results of interventions on a growing population such as the Colombian one. We propose a compartmentalized epidemiological simulation model based on differential equations, which represents population dynamics, HPV transmission within the population, likelihood of infection clearance, virus induced appearance of precancerous lesions and eventually of CC, as well as the immunity gained with vaccination and the likelihood of early detection provided by screening policies. The model is implemented into an open software tool that allows evaluating the predicted effects of public health policies against HPV, providing valuable support to healthcare decision-makers."El cáncer de cuello uterino (CC) es la segunda causa de muerte relacionada con el cáncer entre las mujeres colombianas, causada más comúnmente por las consecuencias de la infección por el virus del papiloma humano (VPH). Los programas de detección, la vacunación contra el VPH y las mejores condiciones socioeconómicas han reducido significativamente la tasa de mortalidad por CC en los últimos 40 años. La definición adecuada de políticas de salud pública para la prevención y vigilancia es de vital importancia para asegurar que se implementen estrategias rentables de control de enfermedades, que hagan el mejor uso de los recursos disponibles limitados. Sin embargo, predecir los efectos a largo plazo de los programas de vacunación y detección no es en absoluto trivial, ya que se basa en la capacidad de agravar las incertidumbres asociadas con los resultados de las intervenciones en una población en crecimiento como la colombiana. Proponemos un modelo de simulación epidemiológica compartimentalizada basado en ecuaciones diferenciales, que representa la dinámica poblacional, la transmisión del VPH dentro de la población, la probabilidad de eliminación de infección, la aparición de lesiones precancerosas inducida por virus y eventualmente CC, así como la inmunidad obtenida con vacunación y la probabilidad de detección temprana proporcionada por las políticas de detección. El modelo se implementa en una herramienta de software abierto que permite evaluar los efectos previstos de las políticas de salud pública contra el VPH, proporcionando un valioso apoyo a los responsables de la toma de decisiones sanitarias."--Tomado del Formato de Documento de Grado.Magíster en Ingeniería IndustrialMaestría25 hojasapplication/pdfengUniandesMaestría en Ingeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería Industrialinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaAutomated evaluation of public health policies for cervical cancer prevention and surveillanceTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMNeoplasmas del cuello uterino - Prevención - Investigaciones - Métodos de simulaciónEpidemiología - Investigaciones - Colombia - Estudio de casosIngenieríaPublicationORIGINALu807107.pdfapplication/pdf904694https://repositorio.uniandes.edu.co/bitstreams/d86c193f-619a-4c3a-bfae-89f1eabcace9/download6c8cf77ec91795ee08caaedecbc6ca20MD51THUMBNAILu807107.pdf.jpgu807107.pdf.jpgIM Thumbnailimage/jpeg19044https://repositorio.uniandes.edu.co/bitstreams/ccb8a739-951b-4fe0-9d21-be5097c448ed/downloadd208612718a1197d68e22905b82608f8MD55TEXTu807107.pdf.txtu807107.pdf.txtExtracted texttext/plain49539https://repositorio.uniandes.edu.co/bitstreams/60e3b19f-af14-461e-ae24-2658feb1f079/download9a58bd259101880e0a27ad1f526122ecMD541992/34227oai:repositorio.uniandes.edu.co:1992/342272023-10-10 17:06:51.002https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |