Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia
Applied technologies to health systems have been noticed as a required tool to reduce the reappearance rate of certain illnesses, to identify groups of risk or to involve the patient in the care of his own health. Taking in consideration the fact that in the North Santander Department the occurrence...
- Autores:
-
Bernal, M C
Sotelo, M E
Nimo, D C
Molina, M M
Pérez, O G
Sánchez, A A
Toro, J G
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2532
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2532
- Palabra clave:
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
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dc.title.eng.fl_str_mv |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
spellingShingle |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title_short |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title_full |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title_fullStr |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title_full_unstemmed |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
title_sort |
Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombia |
dc.creator.fl_str_mv |
Bernal, M C Sotelo, M E Nimo, D C Molina, M M Pérez, O G Sánchez, A A Toro, J G |
dc.contributor.author.none.fl_str_mv |
Bernal, M C Sotelo, M E Nimo, D C Molina, M M Pérez, O G Sánchez, A A Toro, J G |
description |
Applied technologies to health systems have been noticed as a required tool to reduce the reappearance rate of certain illnesses, to identify groups of risk or to involve the patient in the care of his own health. Taking in consideration the fact that in the North Santander Department the occurrence of the outbreak of illnesses transmitted by the vector Aedes aegypti shows intense increase since its re-emergency in 2014, with the presence of several manifestations, one of the most likely solutions to prevent the illness, is the epidemiologic surveillance alongside the strategic prevention/ control of the vector. In this context, this project was developed with the purpose of characterize patients by the building of a knowledge database for digital health that allows to create an architecture to integrate, analyze and structure the historical data according to the detected cases, in order to collect the information from the direct field, store it and process it, to present reports and knowledge models with the right indicators that allow to look out often the symptoms and to control the increase of such epidemies. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2019-01-25T20:23:06Z |
dc.date.available.none.fl_str_mv |
2019-01-25T20:23:06Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
17426588 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/2532 |
identifier_str_mv |
17426588 |
url |
http://hdl.handle.net/20.500.12442/2532 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
dc.publisher.eng.fl_str_mv |
IOP Publishing |
dc.source.eng.fl_str_mv |
Journal of Physics: Conference Series |
dc.source.spa.fl_str_mv |
Vol. 1126, No. 012073 (2018) |
institution |
Universidad Simón Bolívar |
dc.source.uri.eng.fl_str_mv |
DOI: 10.1088/1742-6596/1126/1/012073 |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Bernal, M Ca0f7024d-376e-4285-8243-b7176adc4c36-1Sotelo, M E18fe692b-a8b1-4ea1-b80e-50e9e3603164-1Nimo, D C87803678-45d9-4b2f-aed3-206ca54f1d99-1Molina, M Mbfad4e41-daa0-42f8-b212-aa9bf0993847-1Pérez, O Gcd9ae73c-aff6-4f0c-97db-052b2f82d192-1Sánchez, A Ae06b85f6-dab1-45af-897f-c10016d925b1-1Toro, J Gc939a805-424f-49df-bea0-a9e7b7d8c12a-12019-01-25T20:23:06Z2019-01-25T20:23:06Z201817426588http://hdl.handle.net/20.500.12442/2532Applied technologies to health systems have been noticed as a required tool to reduce the reappearance rate of certain illnesses, to identify groups of risk or to involve the patient in the care of his own health. Taking in consideration the fact that in the North Santander Department the occurrence of the outbreak of illnesses transmitted by the vector Aedes aegypti shows intense increase since its re-emergency in 2014, with the presence of several manifestations, one of the most likely solutions to prevent the illness, is the epidemiologic surveillance alongside the strategic prevention/ control of the vector. In this context, this project was developed with the purpose of characterize patients by the building of a knowledge database for digital health that allows to create an architecture to integrate, analyze and structure the historical data according to the detected cases, in order to collect the information from the direct field, store it and process it, to present reports and knowledge models with the right indicators that allow to look out often the symptoms and to control the increase of such epidemies.engIOP PublishingJournal of Physics: Conference SeriesVol. 1126, No. 012073 (2018)DOI: 10.1088/1742-6596/1126/1/012073Model for the characterization of epidemies generated by the vector Aedes aegyypti. Case study: Norte de Santander Department, Colombiaarticlehttp://purl.org/coar/resource_type/c_6501Ortiz F, Mendez J F, Ritchie J and Rosado F J 1995 Las organizaciones inteligentes en la toma de decisiones en salud: el caso dengue Salud Pública de México 37 78Organización Mundial de la Salud 2018 Organización mundial de la salud Consulted on: http://www.who.int/topics/tropical_diseases/es/Nelson M J 1986 Aedes aegypti: Biology and ecology (Washington: Panamerican Health Organization)Castrillón J C, Castaño J C and Urcuqui S 2015 Dengue in Colombia: Ten years of database records Revista Chilena de Infectologia 32 22Rodríguez A 2015 Chikungunya virus infection: Ecoepidemiological considerations of a new threat for Latin America One Health Newsletter 8 7Hernández J, Ramírez M and Ferri R 2004 Introduction to data mining (España: Pearson)Hair J, Anderson R, Tatham R and Black W 2007 Multivariate analysis (España: Prentice Hall)Piatetsky-Shapiro G, Frawley W and Matheus C 1991 Knowledge discovery in databases: An overview AI Magazine 13 58Witten I, Frank E, Hall M and Pal C 2017 Data mining: Practical machine learning tools and techniques (United States of America: Morgan kaufmann series in data management systems)Cabena P, Hadjinian P, Stadler R, Verhees J, Zanasi A 1998 Discovering data mining: From concept to implementation (Nueva Jersey: Prentice Hall)Alpaydin E 2014 Introduction to machine learning (United States of America: The MIT Press)Seewald A and Scuse D 2009 WEKA manual (Nueva Zelanda: University of WAIKATO)ORIGINALPDF.pdfPDF.pdfPDFapplication/pdf719348https://bonga.unisimon.edu.co/bitstreams/ee88e351-55b2-4194-bed0-da0aa497fa84/download2ea35450f19d199d2a09a7114068710cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8368https://bonga.unisimon.edu.co/bitstreams/0e7f9018-c39d-4afb-a4c9-6c9fb22d4cb7/download3fdc7b41651299350522650338f5754dMD52TEXTModel for the characterization of epidemies generated by.pdf.txtModel for the characterization of epidemies generated by.pdf.txtExtracted texttext/plain21952https://bonga.unisimon.edu.co/bitstreams/588170f3-7c82-4054-8cbc-94afdf7e2154/download76c852033c3f670d85c71bb8ac753d97MD53PDF.pdf.txtPDF.pdf.txtExtracted texttext/plain22526https://bonga.unisimon.edu.co/bitstreams/64d17b31-9794-4d37-ae2b-3d95b485e0ce/download2f68197d960c288df5f12451a27cf6ccMD55THUMBNAILModel for the characterization of epidemies generated by.pdf.jpgModel for the characterization of epidemies generated by.pdf.jpgGenerated Thumbnailimage/jpeg1317https://bonga.unisimon.edu.co/bitstreams/326abadc-f97d-4014-a5b6-56acbfd51901/download02eac48217813128c2707bc019465f55MD54PDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg3524https://bonga.unisimon.edu.co/bitstreams/f6385a77-b1ad-4f5b-a76e-00fed4d1d1a5/downloadee82ee1dff4ba86b385b8cf7d1ca52e0MD5620.500.12442/2532oai:bonga.unisimon.edu.co:20.500.12442/25322024-07-26 03:08:34.167open.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.coPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowIiBzcmM9Imh0dHBzOi8vaS5jcmVhdGl2ZWNvbW1vbnMub3JnL2wvYnktbmMvNC4wLzg4eDMxLnBuZyIgLz48L2E+PGJyLz5Fc3RhIG9icmEgZXN0w6EgYmFqbyB1bmEgPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj5MaWNlbmNpYSBDcmVhdGl2ZSBDb21tb25zIEF0cmlidWNpw7NuLU5vQ29tZXJjaWFsIDQuMCBJbnRlcm5hY2lvbmFsPC9hPi4= |