Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina
1 recurso en línea (páginas 77-87).
- Autores:
-
Rincón Tobo, Félix Sebastián
Ballesteros Ricaurte, Javier Antonio
Castro Romero, Alexander
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/2274
- Acceso en línea:
- http://repositorio.uptc.edu.co/handle/001/2274
- Palabra clave:
- Animales - Enfermedades
Enfermedades infecciosas en animales
Epidemiología veterinaria
Ganado vacuno
Brucelosis bovina - Epidemiología
Brucelosis bovina - Etiología
Agrosavia
Bovinos
Epidemiología
Enfermedades infecciosas
Modelado epidemiológico en animales
Modelos matemáticos
- Rights
- openAccess
- License
- Copyright (c) 2017 Universidad Pedagógica y Tecnológica de Colombia
| id |
REPOUPTC2_fe52c2ecdb0106c7ecc690dc6a0affcc |
|---|---|
| oai_identifier_str |
oai:repositorio.uptc.edu.co:001/2274 |
| network_acronym_str |
REPOUPTC2 |
| network_name_str |
RiUPTC: Repositorio Institucional UPTC |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| dc.title.alternative.eng.fl_str_mv |
Tools for epidemiological modeling of animal diseases, study case : bovine Brucellosis |
| title |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| spellingShingle |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina Animales - Enfermedades Enfermedades infecciosas en animales Epidemiología veterinaria Ganado vacuno Brucelosis bovina - Epidemiología Brucelosis bovina - Etiología Agrosavia Bovinos Epidemiología Enfermedades infecciosas Modelado epidemiológico en animales Modelos matemáticos |
| title_short |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| title_full |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| title_fullStr |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| title_full_unstemmed |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| title_sort |
Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina |
| dc.creator.fl_str_mv |
Rincón Tobo, Félix Sebastián Ballesteros Ricaurte, Javier Antonio Castro Romero, Alexander |
| dc.contributor.author.none.fl_str_mv |
Rincón Tobo, Félix Sebastián Ballesteros Ricaurte, Javier Antonio Castro Romero, Alexander |
| dc.subject.armarc.none.fl_str_mv |
Animales - Enfermedades Enfermedades infecciosas en animales Epidemiología veterinaria Ganado vacuno |
| topic |
Animales - Enfermedades Enfermedades infecciosas en animales Epidemiología veterinaria Ganado vacuno Brucelosis bovina - Epidemiología Brucelosis bovina - Etiología Agrosavia Bovinos Epidemiología Enfermedades infecciosas Modelado epidemiológico en animales Modelos matemáticos |
| dc.subject.armarc.spa.fl_str_mv |
Brucelosis bovina - Epidemiología Brucelosis bovina - Etiología Agrosavia |
| dc.subject.proposal.spa.fl_str_mv |
Bovinos Epidemiología Enfermedades infecciosas Modelado epidemiológico en animales Modelos matemáticos |
| description |
1 recurso en línea (páginas 77-87). |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017-08-10 |
| dc.date.accessioned.none.fl_str_mv |
2018-11-08T20:30:01Z |
| dc.date.available.none.fl_str_mv |
2018-11-08T20:30:01Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
| dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Rincón Tobo, F. S., Ballesteros Ricaurte, J. A., & Castro Romero A. (2017). Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina. Revista Ciencia y Agricultura, 14(2), 77-87. DOI: http://doi.org/10.19053/01228420.v14.n2.2017.7160. http://repositorio.uptc.edu.co/handle/001/2274 |
| dc.identifier.uri.none.fl_str_mv |
http://repositorio.uptc.edu.co/handle/001/2274 |
| dc.identifier.doi.none.fl_str_mv |
10.19053/01228420.v14.n2.2017.7160 2539-0899 |
| identifier_str_mv |
Rincón Tobo, F. S., Ballesteros Ricaurte, J. A., & Castro Romero A. (2017). Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina. Revista Ciencia y Agricultura, 14(2), 77-87. DOI: http://doi.org/10.19053/01228420.v14.n2.2017.7160. http://repositorio.uptc.edu.co/handle/001/2274 10.19053/01228420.v14.n2.2017.7160 2539-0899 |
| url |
http://repositorio.uptc.edu.co/handle/001/2274 |
| dc.language.iso.spa.fl_str_mv |
spa |
| language |
spa |
| dc.relation.references.spa.fl_str_mv |
Machado G., Recamonde M., Corbellini L. What variables are important in predicting bovine viral diarrea virus? A random forest approach. Veterinary Research. 2015; 46-85. Ivorra B., Martínez-López B., Sánchez-Vizcaíno J., Ramos Á. Mathematical formulation and validation of the Be-Fast model for Classical Swine Virus spread between and within farms. Ann Oper. Res. 2014; 219: 25-47. DOI: http://doi.org/10.1007/ s10479-012-1257-4. Kermack WO., McKendrick AG. A Contribution to the Mathematical Theory of Epidemics. Proc R Soc London A Math Phys Eng Sci. 1927; 115(772): 700-721. DOI: http://doi.org/10.1098/ rspa.1927.0118. Keeling MJ., Rohani P. Modeling infectious diseases in Humans and Animals. Princeton University Press. 2011. Kang G., Gunaseelan L., Abbas K. Epidemiological dynamics of bovine brucellosis in India. Ann Glob Heal. 2015; 81(1): 127- 128. DOI: http://doi.org/10.1016/j.aogh.2015.02.793. Montesinos-López OA., Hernández-Suárez CM. Modelos matemáticos para enfermedades infecciosas. Salud Pública de México. 2007; 49(3): 218-226. DOI: http://doi.org/10.1590/ S0036-36342007000300007 Cakici B., Boman M. A workflow for software development within computational epidemiology. Journal of Computational Science 2011; 216-222. DOI: http://doi.org/10.1016/j.jocs.2011.05.004. Microsoft. Excel, 2016. Recuperado de: http://products.office.com/ es-co/excel. Jardine D. Euler’s Method in Euler’s Words. Mathematical Time Capsules: Historical Modules for the Mathematics Classroom. 2011; 215-222. DOI: http://doi.org/10.5948/ UPO9780883859841.029. Crawley MJ. The R Book. John Wiley & Sons, 2007. DOI: http:// doi.org/10.1002/9780470515075. Berkeley Madonna. Modeling and Analysis of Dynamic Systems, 2016. Recuperado de: http://www.berkeleymadonna.com/. Vynnycky E., White R. An Introduction to Infectious Disease Modelling. OUP Oxford, 2010. Macey R., Oster G., Zahnley T. Berkeley Madonna User’s Guide. University of California. 2009. Recuperado de: http://www. berkeleymadonna.com/system/storage/download/BM-Users- Guide-8.0.2.pdf. Enterprises Scilab. Open source software for numerical computation, 2015. Recuperado de: http://www.scilab.org/ scilab/about. Matworks. Matlab, The Language of Technical Computing, 2016. Recuperado de: http://www.mathworks.com/products/matlab/. Matlab. Solve nonstiff differential equations, 2016. Recuperado de: http://www.mathworks.com/help/matlab/ref/ode45.html. GLEAMviz. The global epidemic and mobility model. 2016. Recuperado de: http://www.gleamviz.org/. EpiModel. EpiModel Mathematical modeling of infectious disease. 2016. Recuperado de: http://www.epimodel.org/index.html. |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Revista Ciencia y Agricultura;Volumen 14, número 2 (Julio-Diciembre 2017) |
| dc.rights.spa.fl_str_mv |
Copyright (c) 2017 Universidad Pedagógica y Tecnológica de Colombia |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
Copyright (c) 2017 Universidad Pedagógica y Tecnológica de Colombia https://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
Universidad Pedagógica y Tecnológica de Colombia |
| dc.source.spa.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/7160/5578 |
| institution |
Universidad Pedagógica y Tecnológica de Colombia |
| bitstream.url.fl_str_mv |
https://repositorio.uptc.edu.co/bitstreams/57e09bc3-7678-4f29-b3d9-994ef080c143/download https://repositorio.uptc.edu.co/bitstreams/b7a0a761-52da-459a-af74-c3abe4575df4/download https://repositorio.uptc.edu.co/bitstreams/4ee92d83-bec0-4cc1-99c2-3379d1e6c1a0/download https://repositorio.uptc.edu.co/bitstreams/523f27f4-2616-46f2-ba0f-395208b4b1b6/download https://repositorio.uptc.edu.co/bitstreams/b0ba76c6-39d6-4fc7-b6ed-e13513c3a083/download https://repositorio.uptc.edu.co/bitstreams/c5e051ed-37b6-47a2-bb7d-36e22f1dd5d0/download |
| bitstream.checksum.fl_str_mv |
22cd496cf9178178d0ba983dde1a2f2c 88794144ff048353b359a3174871b0d5 48f0f0399a135ca8f43531a01aa518f5 48f0f0399a135ca8f43531a01aa518f5 e30c3e1c584735b996fc8a8731705d92 e30c3e1c584735b996fc8a8731705d92 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
UPTC DSpace |
| repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
| _version_ |
1814076253898014720 |
| spelling |
Rincón Tobo, Félix SebastiánBallesteros Ricaurte, Javier AntonioCastro Romero, Alexander2018-11-08T20:30:01Z2018-11-08T20:30:01Z2017-08-10Rincón Tobo, F. S., Ballesteros Ricaurte, J. A., & Castro Romero A. (2017). Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovina. Revista Ciencia y Agricultura, 14(2), 77-87. DOI: http://doi.org/10.19053/01228420.v14.n2.2017.7160. http://repositorio.uptc.edu.co/handle/001/2274http://repositorio.uptc.edu.co/handle/001/227410.19053/01228420.v14.n2.2017.71602539-08991 recurso en línea (páginas 77-87).This paper describes the importance of computational tools, whose applications have significantly increased in recent years, in understand the dynamics of infectious diseases, and devising effective measures for controlling and eradicating infectious disease. The importance of epidemiological models in treating infectious diseases is combined with areas such as mathematics, statistics, and engineering, and the results are relevant to generate control policies. We, synoptically, explain the theoretical background, the importance, and the classification of computational tools in infectious diseases. In addition, the common epidemiological model of disease transmission is detailed.El artículo describe la importancia de las herramientas informáticas, cuyo uso ha crecido en grado significativo en los últimos años, para comprender la dinámica de la transmisión de enfermedades infecciosas, así como para diseñar medidas eficaces de control y erradicación de estas. La importancia de los modelos epidemiológicos en el tratamiento de enfermedades infecciosas se combina con áreas como matemáticas, estadística e ingeniería, y los resultados son relevantes para generar políticas de control. Se explican, de manera sinóptica, los antecedentes, la importancia y la clasificación de herramientas informáticas en padecimientos infecciosos, y, adicionalmente, se detalla el modelo epidemiológico común de transmisión de enfermedades.Bibliografía y webgrafía: páginas 86-87.application/pdfspaUniversidad Pedagógica y Tecnológica de ColombiaCopyright (c) 2017 Universidad Pedagógica y Tecnológica de Colombiahttps://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/7160/5578Herramientas para el modelado epidemiológico de enfermedades en animales. Caso de estudio : brucelosis bovinaTools for epidemiological modeling of animal diseases, study case : bovine BrucellosisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTexthttps://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85Machado G., Recamonde M., Corbellini L. What variables are important in predicting bovine viral diarrea virus? A random forest approach. Veterinary Research. 2015; 46-85.Ivorra B., Martínez-López B., Sánchez-Vizcaíno J., Ramos Á. Mathematical formulation and validation of the Be-Fast model for Classical Swine Virus spread between and within farms. Ann Oper. Res. 2014; 219: 25-47. DOI: http://doi.org/10.1007/ s10479-012-1257-4.Kermack WO., McKendrick AG. A Contribution to the Mathematical Theory of Epidemics. Proc R Soc London A Math Phys Eng Sci. 1927; 115(772): 700-721. DOI: http://doi.org/10.1098/ rspa.1927.0118.Keeling MJ., Rohani P. Modeling infectious diseases in Humans and Animals. Princeton University Press. 2011.Kang G., Gunaseelan L., Abbas K. Epidemiological dynamics of bovine brucellosis in India. Ann Glob Heal. 2015; 81(1): 127- 128. DOI: http://doi.org/10.1016/j.aogh.2015.02.793.Montesinos-López OA., Hernández-Suárez CM. Modelos matemáticos para enfermedades infecciosas. Salud Pública de México. 2007; 49(3): 218-226. DOI: http://doi.org/10.1590/ S0036-36342007000300007Cakici B., Boman M. A workflow for software development within computational epidemiology. Journal of Computational Science 2011; 216-222. DOI: http://doi.org/10.1016/j.jocs.2011.05.004.Microsoft. Excel, 2016. Recuperado de: http://products.office.com/ es-co/excel.Jardine D. Euler’s Method in Euler’s Words. Mathematical Time Capsules: Historical Modules for the Mathematics Classroom. 2011; 215-222. DOI: http://doi.org/10.5948/ UPO9780883859841.029.Crawley MJ. The R Book. John Wiley & Sons, 2007. DOI: http:// doi.org/10.1002/9780470515075.Berkeley Madonna. Modeling and Analysis of Dynamic Systems, 2016. Recuperado de: http://www.berkeleymadonna.com/.Vynnycky E., White R. An Introduction to Infectious Disease Modelling. OUP Oxford, 2010.Macey R., Oster G., Zahnley T. Berkeley Madonna User’s Guide. University of California. 2009. Recuperado de: http://www. berkeleymadonna.com/system/storage/download/BM-Users- Guide-8.0.2.pdf.Enterprises Scilab. Open source software for numerical computation, 2015. Recuperado de: http://www.scilab.org/ scilab/about.Matworks. Matlab, The Language of Technical Computing, 2016. Recuperado de: http://www.mathworks.com/products/matlab/.Matlab. Solve nonstiff differential equations, 2016. Recuperado de: http://www.mathworks.com/help/matlab/ref/ode45.html.GLEAMviz. The global epidemic and mobility model. 2016. Recuperado de: http://www.gleamviz.org/.EpiModel. EpiModel Mathematical modeling of infectious disease. 2016. Recuperado de: http://www.epimodel.org/index.html.Revista Ciencia y Agricultura;Volumen 14, número 2 (Julio-Diciembre 2017)Animales - EnfermedadesEnfermedades infecciosas en animalesEpidemiología veterinariaGanado vacunoBrucelosis bovina - EpidemiologíaBrucelosis bovina - EtiologíaAgrosaviaBovinosEpidemiologíaEnfermedades infecciosasModelado epidemiológico en animalesModelos matemáticosORIGINALPPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdfPPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdfArchivo principalapplication/pdf667204https://repositorio.uptc.edu.co/bitstreams/57e09bc3-7678-4f29-b3d9-994ef080c143/download22cd496cf9178178d0ba983dde1a2f2cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814798https://repositorio.uptc.edu.co/bitstreams/b7a0a761-52da-459a-af74-c3abe4575df4/download88794144ff048353b359a3174871b0d5MD52TEXTPPS-785.pdf.txtPPS-785.pdf.txtExtracted texttext/plain26045https://repositorio.uptc.edu.co/bitstreams/4ee92d83-bec0-4cc1-99c2-3379d1e6c1a0/download48f0f0399a135ca8f43531a01aa518f5MD53PPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdf.txtPPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdf.txtExtracted texttext/plain26045https://repositorio.uptc.edu.co/bitstreams/523f27f4-2616-46f2-ba0f-395208b4b1b6/download48f0f0399a135ca8f43531a01aa518f5MD55THUMBNAILPPS-785.pdf.jpgPPS-785.pdf.jpgGenerated Thumbnailimage/jpeg5003https://repositorio.uptc.edu.co/bitstreams/b0ba76c6-39d6-4fc7-b6ed-e13513c3a083/downloade30c3e1c584735b996fc8a8731705d92MD54PPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdf.jpgPPS_785_Herramienta_modelado_epidemiologico_brucelosis.pdf.jpgGenerated Thumbnailimage/jpeg5003https://repositorio.uptc.edu.co/bitstreams/c5e051ed-37b6-47a2-bb7d-36e22f1dd5d0/downloade30c3e1c584735b996fc8a8731705d92MD56001/2274oai:repositorio.uptc.edu.co:001/22742021-02-10 19:00:58.351https://creativecommons.org/licenses/by-nc/4.0/Copyright (c) 2017 Universidad Pedagógica y Tecnológica de Colombiaopen.accesshttps://repositorio.uptc.edu.coUPTC DSpacerepositorio.uptc@uptc.edu.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 |