Please use this identifier to cite or link to this item:
https://repositorio.accefyn.org.co/handle/001/2022
Cómo citar
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Arias-Barahona, Maria X | - |
dc.contributor.author | Vanegas-Giraldo, Juan J. | - |
dc.date.accessioned | 2022-11-03T23:45:41Z | - |
dc.date.available | 2022-11-03T23:45:41Z | - |
dc.date.issued | 2021-12-13 | - |
dc.identifier.issn | 0370-3908 | spa |
dc.identifier.uri | https://repositorio.accefyn.org.co/handle/001/2022 | - |
dc.description.abstract | En este trabajo se muestra una comparación de las distribuciones de probabilidad para los casos confirmados por Covid-19 en los departamentos de Colombia para los tres intervalos de tiempo donde se presenta un mayor número de contagios (picos). Lo anterior se realizó a partir del análisis estadístico de las bases de datos reportadas por el Instituto Nacional de Salud en Colombia. Se encuentra que la probabilidad de fallecer ha aumentado en más del 8 % en el último pico para los colombianos entre los 20 y 69 años de edad, siendo los departamentos con mayor aumento en el porcentaje de estos decesos: Amazonas, Antioquia, Caquetá, Cauca, Córdoba y Putumayo | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Academia Colombiana de Ciencias Exactas, Físicas y Naturales | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | spa |
dc.title | Comparación de la distribución de probabilidad en pacientes fallecidos por COVID-19 en tres picos de la pandemia en Colombia | spa |
dc.title | Comparison of the probability distributions in Covid-19 deaths in three peaks of the pandemic in Colombia | eng |
dc.type | Artículo de revista | spa |
dcterms.audience | Estudiantes, Profesores, Comunidad científica. | spa |
dcterms.references | Bwire, G. M., y Paulo, L. S. (2020). Coronavirus disease-2019: is fever an adequate screening for the returning travelers? Tropical medicine and health. 48 (1): 1-3. | spa |
dcterms.references | Casos positivos de COVID-19 en Colombia — Datos Abiertos Colombia. (s.f.). Descargado el 13 de mayo de 2021 de https://www.datos.gov.co/Salud-y-Protecci-n-Social/Casos-positivosde-COVID-19-en-Colombia/gt2j-8ykr/data | spa |
dcterms.references | Cruz, M. P., Santos, E., Cervantes, M. V., y Juárez, M. L. (2020). Covid-19, una emergencia de salud pública mundial. Revista Clínica Española. | spa |
dcterms.references | Dey, S. K., Rahman, M. M., Siddiqi, U. R., y Howlader, A. (2020). Analyzing the epidemiological outbreak of covid-19: A visual exploratory data analysis approach. Journal of medical virology. 92 (6): 632-638. | spa |
dcterms.references | Garcia Chilan, C., y Viteri Paredes, J. (2010). Ana´lisis e implementacio´n de algoritmos para distorsionar ima´genes con distintos tipos de ruido y aplicacio´n de filtros en dos dimensiones para restaurarlas (B.S. thesis). | spa |
dcterms.references | Goldstein, E., Lipsitch, M., y Cevik, M. (2020). On the effect of age on the transmission of sars-cov-2 in households, schools and the community. medRxiv. Descargado de https://www.medrxiv. org/content/early/2020/07/28/2020.07.19.20157362 doi: 10.1101/2020.07.19.20157362 | spa |
dcterms.references | Go´mez-Go´mez, M., Danglot-Banck, C., Vela´squez-Jones, L. (2001). Bases para la revisio´n cr´ıtica de art´ıculos me´dicos. Rev Mex Pediatr. 68 (4): 152-159. | spa |
dcterms.references | Gomez Mar´ın, J. E., Castan˜o Osorio, J. C., Patarroyo, M. A., Mej´ıa-Oquendo, M., Valdivia-Granda, W., Álvarez, C., Sepu´lveda-Arias, J. C. (2021, 03). Una hoja de ruta para la Vacuna COVID 19 en Colombia, un reto posible. Infectio. 25: 7-10. Descargado de http://www.scielo.org.co/scielo.php?script=sci arttext&pid=S0123-93922021000100007&nrm=iso | spa |
dcterms.references | Gu, C., Zhu, J., Sun, Y., Zhou, K., y Gu, J. (2020). The inflection point about covid-19 may have passed. Science bulletin. | spa |
dcterms.references | Irvine, M. A., y Hollingsworth, T. D. (2018). Kernel-density estimation and approximate bayesian computation for flexible epidemiological model fitting in python. Epidemics. 25: 80-88. Descargado de https://www.sciencedirect.com/science/article/pii/S1755436518300185 doi:https://doi.org/10.1016/j.epidem.2018.05.009 | spa |
dcterms.references | Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., y Hsueh, P.-R. (2020). Severe acute respiratory syndrome coronavirus 2 (sars-cov-2) and coronavirus disease-2019 (covid-19): The epidemic and the challenges. International journal of antimicrobial agents. 55 (3): 105924. | spa |
dcterms.references | Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., others (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The lancet. 395 (10224): 565-574. | spa |
dcterms.references | Mahase, E. (2020). Covid-19: Who declares pandemic because of “alarming levels” of spread, severity, and inaction. Bmj, 368. | spa |
dcterms.references | Mathew, R. (2020). Rammya mathew: We must not be guided by bad science on covid-19. BMJ, 369. Descargado de https://www.bmj.com/content/369/bmj.m2241 doi: 10.1136/bmj.m2241 | spa |
dcterms.references | Ministerio de Salud y Proteccio´n Social. (s.f.). Descargado el 17 de mayo de 2021 de https://www.minsalud.gov.co/Paginas/default.aspx | spa |
dcterms.references | Minsalud- informacio´n del Coronavirus COVID-19. (s.f.). Descargado el 17 de mayo de 2021 de https://www.minsalud.gov.co/portada-covid-19.html | spa |
dcterms.references | Monod, M., Blenkinsop, A., Xi, X., Hebert, D., Bershan, S., Tietze, S. (2021). Age groups that sustain resurging covid-19 epidemics in the united states. Science. 371 (6536). Descargado de https://science.sciencemag.org/content/371/ 6536/eabe8372 doi: 10.1126/science.abe8372 | spa |
dcterms.references | Moreno-Altamirano, S.-B. A., López-Moreno, A. (2007). Principales medidas en epidemiología. Revista Cubana de Higiene y Epidemiología. Descargado de https://www.redalyc.org/articulo.oa?id=223219928011 | spa |
dcterms.references | Peng, L., Yang, W., Zhang, D., Zhuge, C., y Hong, L. (2020). Epidemic analysis of covid-19 in china by dynamical modeling. arXiv preprint arXiv:2002.06563. | spa |
dcterms.references | Phan, T. (2020). Genetic diversity and evolution of sars-cov-2. Infection, Genetics and Evolution, 81: 104260. Descargado de https://www.sciencedirect.com/science/article/pii/S1567134820300915 doi: https://doi.org/10.1016/ j.meegid.2020.104260 | spa |
dcterms.references | Pinzo´n, J. E. D. (2020). Estimacio´n de las tasas de mortalidad y letalidad por covid-19 en colombia. Revista Repertorio de Medicina y Cirugía, 89-93. | spa |
dcterms.references | Rosselli, D. (2020, 05). Covid-19 en colombia: los primeros 90 d´ıas. Acta Neurolo´gica Colombiana, 36: 1-6. doi: 10.22379/24224022287 | spa |
dcterms.references | Terrell, G. R., y Scott, D. W. (1992). Variable kernel density estimation. The Annals of Statistics, 20 (3): 1236-1265. Descargado de http://www.jstor.org/stable/ 2242011 | spa |
dcterms.references | Undurraga, E. A., Chowell, G., Mizumoto, K. (2021). Covid-19 case fatality risk by age and gender in a high testing setting in latin america: Chile, march–august 2020. Infectious Diseases of Poverty, 10 (1). doi: 10.1186/s40249-020-00785-1 | spa |
dcterms.references | Waskom, M. L. (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6 (60): 3021. Descargado de https://doi.org/10.21105/joss.03021 doi: 10.21105/joss.03021 | spa |
dc.description.notes | This work shows a comparison between the probability distributions for the cases confirmed by Covid-19 in the departments of Colombia for the three time intervals where there is a greater number of infections (peaks). This was done from the statistical analysis of the databases reported by the National Institute of Health in Colombia. It is found that the probability of dying has increased by more than 8 % in the last peak for Colombians between 20 and 69 years of age, being the departments with the highest increase in the percentage of these deaths: Amazonas, Antioquia, Caquetá, Cauca, Córdoba and Putumayo. | eng |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.version | info:eu-repo/semantics/updatedVersion | spa |
dc.rights.creativecommons | Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) | spa |
dc.identifier.doi | https://doi.org/10.18257/raccefyn.1474 | - |
dc.subject.proposal | Covid-19 en Colombia | spa |
dc.subject.proposal | Covid-19 in Colombia | eng |
dc.subject.proposal | Distribución de Probabilidad | spa |
dc.subject.proposal | Probability Distribution | eng |
dc.subject.proposal | Letalidad | spa |
dc.subject.proposal | Lethality | eng |
dc.subject.proposal | Pandemia | spa |
dc.subject.proposal | Pandemic | eng |
dc.subject.proposal | Procesos Gaussianos | spa |
dc.subject.proposal | Gaussian Process. | eng |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
dc.relation.ispartofjournal | Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales | spa |
dc.relation.citationvolume | 45 | spa |
dc.relation.citationstartpage | 971 | spa |
dc.relation.citationendpage | 979 | spa |
dc.contributor.corporatename | Academia Colombiana de Ciencias Exactas, Físicas y Naturales | spa |
dc.identifier.eissn | 2382-4980 | spa |
dc.relation.citationissue | 177 | spa |
dc.type.content | Text | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
Appears in Collections: | BA. Revista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1 1474 COVID19.pdf | 965.26 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License