Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years

Objectives: This study aimed to estimate the burden of acute COVID-19 in Córdoba, one of the most affected departments (states) in Colombia, through the estimation of disability-adjusted life-years (DALYs). Methods: DALYs were estimated based on the number of cases of severe acute respiratory syndro...

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Autores:
Lozano, Ana
Salcedo Mejía, Fernando
Zakzuk, Josefina
ALVIS ZAKZUK, NELSON RAFAEL
Moyano-Tamara, Lina
Serrano-Coll, Héctor
Gastelbondo, Bertha Irina
Mattar, Salim
ALVIS-ZAKZUK, NELSON J.
Alvis-Guzmán, Nelson
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10509
Acceso en línea:
https://hdl.handle.net/11323/10509
https://repositorio.cuc.edu.co/
Palabra clave:
Coronavirus infections
Disability-adjusted life-year
Severe acute respiratory syndrome
Years of life lost
Years lived with disability
Años de vida perdidos
Infecciones por coronavirus
Años vividos con discapacidad
Años de vida ajustados por discapacidad
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embargoedAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
id RCUC2_70e49acd27124d836f1e020d37ab4105
oai_identifier_str oai:repositorio.cuc.edu.co:11323/10509
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
dc.title.translated.none.fl_str_mv Carga de COVID-19 en Córdoba, un departamento de Colombia: resultados de los años de vida ajustados por discapacidad
title Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
spellingShingle Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
Coronavirus infections
Disability-adjusted life-year
Severe acute respiratory syndrome
Years of life lost
Years lived with disability
Años de vida perdidos
Infecciones por coronavirus
Años vividos con discapacidad
Años de vida ajustados por discapacidad
title_short Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
title_full Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
title_fullStr Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
title_full_unstemmed Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
title_sort Burden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-years
dc.creator.fl_str_mv Lozano, Ana
Salcedo Mejía, Fernando
Zakzuk, Josefina
ALVIS ZAKZUK, NELSON RAFAEL
Moyano-Tamara, Lina
Serrano-Coll, Héctor
Gastelbondo, Bertha Irina
Mattar, Salim
ALVIS-ZAKZUK, NELSON J.
Alvis-Guzmán, Nelson
dc.contributor.author.none.fl_str_mv Lozano, Ana
Salcedo Mejía, Fernando
Zakzuk, Josefina
ALVIS ZAKZUK, NELSON RAFAEL
Moyano-Tamara, Lina
Serrano-Coll, Héctor
Gastelbondo, Bertha Irina
Mattar, Salim
ALVIS-ZAKZUK, NELSON J.
Alvis-Guzmán, Nelson
dc.subject.proposal.eng.fl_str_mv Coronavirus infections
Disability-adjusted life-year
Severe acute respiratory syndrome
Years of life lost
Years lived with disability
Años de vida perdidos
Infecciones por coronavirus
topic Coronavirus infections
Disability-adjusted life-year
Severe acute respiratory syndrome
Years of life lost
Years lived with disability
Años de vida perdidos
Infecciones por coronavirus
Años vividos con discapacidad
Años de vida ajustados por discapacidad
dc.subject.proposal.spa.fl_str_mv Años vividos con discapacidad
Años de vida ajustados por discapacidad
description Objectives: This study aimed to estimate the burden of acute COVID-19 in Córdoba, one of the most affected departments (states) in Colombia, through the estimation of disability-adjusted life-years (DALYs). Methods: DALYs were estimated based on the number of cases of severe acute respiratory syndrome coronavirus 2 infection cases reported by official Colombian sources. A transition probability matrix among severity states was calculated using data obtained from a retrospective cohort that included 1736 COVID-19 confirmed subjects living in Córdoba. Results: Córdoba had 120.23 deaths per 100 000 habitants during the study period (March 2020 to April 2021). Estimated total DALYs were 49 243 (2692 DALYs per 100 000 inhabitants), mostly attributed to fatal cases (99.7%). On average, 25 years of life were lost because of death by this infection. A relevant proportion of years of life lost because of COVID-19 (46.6%) was attributable to people , 60 years old and was greater in men. People $ 60 years old showed greater risk of progression to critical state than people between the age of 35 and 60 years (hazard ratio 2.5; 95% confidence interval 2.5-12.5) and younger than 35 years (9.1; 95% confidence interval 4.0-20.6). Conclusion: In Córdoba, premature mortality because of COVID-19 was substantially represented by people , 60 years old and was greater in males. Our data may be representative of Latin American populations with great infection spread during the first year of the pandemic and contribute to novel methodological aspects and parameter estimations that may be useful to measure COVID-19 burden in other countries of the region.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-09-22T14:26:29Z
dc.date.available.none.fl_str_mv 2023-09-22T14:26:29Z
2024
dc.date.issued.none.fl_str_mv 2023
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.citation.spa.fl_str_mv Ana Lozano, Fernando Salcedo-Mejía, Josefina Zakzuk, Nelson Rafael Alvis-Zakzuk, Lina Moyano-Tamara, Héctor Serrano-Coll, Bertha Gastelbondo, Salim Mattar, Nelson J. Alvis-Zakzuk, Nelson Alvis-Guzman, Burden of COVID-19 in Córdoba, A Department of Colombia: Results of Disability-Adjusted Life-Years: Carga de COVID-19 en Córdoba, un Departamento de Colombia: Resultados de los Años de Vida Ajustados por Discapacidad, Value in Health Regional Issues, Volume 37, 2023, Pages 9-17, ISSN 2212-1099, https://doi.org/10.1016/j.vhri.2023.03.005.
dc.identifier.issn.spa.fl_str_mv 2212-1099
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/10509
dc.identifier.doi.none.fl_str_mv 10.1016/j.vhri.2023.03.005
dc.identifier.eissn.spa.fl_str_mv 2212-1102
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Ana Lozano, Fernando Salcedo-Mejía, Josefina Zakzuk, Nelson Rafael Alvis-Zakzuk, Lina Moyano-Tamara, Héctor Serrano-Coll, Bertha Gastelbondo, Salim Mattar, Nelson J. Alvis-Zakzuk, Nelson Alvis-Guzman, Burden of COVID-19 in Córdoba, A Department of Colombia: Results of Disability-Adjusted Life-Years: Carga de COVID-19 en Córdoba, un Departamento de Colombia: Resultados de los Años de Vida Ajustados por Discapacidad, Value in Health Regional Issues, Volume 37, 2023, Pages 9-17, ISSN 2212-1099, https://doi.org/10.1016/j.vhri.2023.03.005.
2212-1099
10.1016/j.vhri.2023.03.005
2212-1102
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/10509
https://repositorio.cuc.edu.co/
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Value in Health Regional Issues
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9. John D, Narassima MS, Menon J, Rajesh JG, Banerjee A. Estimation of economic burden of COVID-19 using disability-adjusted life years (DALYs) and productivity losses in Kerala state. BMJ Open. 2021;11(8):e049619.
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13. Proyecciones de población a 2020. Censo nacional de población y vivienda - CNPV. Departamento Administrativo Nacional de Estadística. https://www. dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proye cciones-de-poblacion. Accessed August 30, 2022.
14. De la Hoz-Restrepo F, Alvis-Zakzuk NJ, De la Hoz-Gomez JF, De la Hoz A, Gómez Del Corral L, Alvis-Guzmán N. Is Colombia an example of successful containment of the 2020 COVID-19 pandemic? A critical analysis of the epidemiological data, March to July 2020. Int J Infect Dis. 2020;99: 522–529.
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19. Hidalgo-Troya A, Rodríguez JM, Rocha-Buelvas A, Urrego-Ricaurte D. Burden of disease of COVID-19 in the department of Nariño, Colombia, 2020-2021. Rev Peru Med Exp Salud Publ. 2022;39(3):281–291.
20. Fan CY, Fann JC, Yang MC, et al. Estimating global burden of COVID-19 with disability-adjusted life years and value of statistical life metrics. J Formos Med Assoc. 2021;120(suppl 1):S106–S117.
21. Gianino MM, Savatteri A, Politano G, Nurchis MC, Pascucci D, Damiani G. Burden of COVID-19: disability-adjusted life years (DALYs) across 16 European countries. Eur Rev Med Pharmacol Sci. 2021;25(17):5529–5541.
22. Shindhe SD, Bhat S, Munoli SB. Burden of COVID-19: DALY and productivity loss for Karnataka, India. Indian J Public Health. 2022;66(3):239.
23. Singh BB, Devleesschauwer B, Khatkar MS, et al. Disability-adjusted life years (DALYs) due to the direct health impact of COVID-19 in India, 2020. Sci Rep. 2022;121(1):2454.
24. Cuschieri S, Calleja N, Devleesschauwer B, Wyper GMA. Estimating the direct COVID-19 disability-adjusted life years impact on the Malta population for the first full year. BMC Public Health. 2021;21(1):1827.
25. Bhopal SS, Bhopal R. Sex differential in COVID-19 mortality varies markedly by age. Lancet. 2020;396(10250):532–533.
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27. Sobotka T, Brzozowska Z, Muttarak R, Zeman K, di Lego V. Age, gender and COVID-19 infections. Preprint. Posted online May 26, 2020. medRxiv 20111765. https://doi.org/10.1101/2020.05.24.20111765
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31. Bonanad C, García-Blas S, Tarazona-Santabalbina F, et al. The effect of age on mortality in patients with COVID-19: a meta-analysis with 611,583 subjects. J Am Med Dir Assoc. 2020;21(7):915–918.
32. Perez-Saez J, Lauer SA, Kaiser L, et al. Serology-informed estimates of SARSCoV-2 infection fatality risk in Geneva, Switzerland. Lancet Infect Dis. 2020;21(4):e69–e70.
33. Rommel A, Lippe EV, Plass D, et al. The COVID-19 disease burden in Germany in 2020-years of life lost to death and disease over the course of the pandemic. Dtsch Ärztebl Int. 2021;118(9):145–151.
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35. Salinas-Escudero G, Toledano-Toledano F, García-Peña C, Parra-Rodríguez L, Granados-García V, Carrillo-Vega MF. Disability-adjusted life years for the COVID-19 pandemic in the Mexican population. Front Public Health. 2021;9: 686700.
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40. Angulo FJ, Finelli L, Swerdlow DL. Estimation of US SARS-CoV-2 infections, symptomatic infections, hospitalizations, and deaths using seroprevalence surveys. JAMA Netw Open. 2021;4(1):e2033706.
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42. Wyper G, Fletcher E, Grant I, et al. Measuring disability-adjusted life years (DALYs) due to COVID-19 in Scotland, 2020. Arch Public Health. 2022;80(1):105.
43. Asdaq SMB, Rabbani SI, Alshammari MK, et al. Burden of COVID-19: a preliminary analysis in the population of Saudi Arabia. PeerJ. 2022;10:e13219.
44. Moran DP, Pires SM, Wyper GMA, Devleesschauwer B, Cuschieri S, Kabir Z. Estimating the direct disability-adjusted life years associated with SARS-CoV2 (COVID-19) in the Republic of Ireland: the first full year. Int J Public Health. 2022;67:1604699.
45. Pires SM, Redondo HG, Espenhain L, et al. Disability adjusted life years associated with COVID-19 in Denmark in the first year of the pandemic. BMC Public Health. 2022;22(1):1315.
46. Fernández-de-las-Peñas C, Palacios-Ceña D, Gómez-Mayordomo V, et al. Prevalence of post-COVID-19 symptoms in hospitalized and non-hospitalized COVID-19 survivors: a systematic review and meta-analysis. Eur J Intern Med. 2021;92:55–70.
47. Lopez-Leon S, Wegman-Ostrosky T, Perelman C, et al. More than 50 Longterm effects of COVID-19: a systematic review and meta-analysis. Sci Rep. 2021;11(1):16144.
48. Maglietta G, Diodati F, Puntoni M, et al. Prognostic factors for post-COVID-19 syndrome: a systematic review and meta-analysis. J Clin Med. 2022;11(6):1541.
49. Sigfrid L, Drake TM, Pauley E, et al. Long Covid in adults discharged from UK hospitals after Covid-19: a prospective, multicentre cohort study using the ISARIC WHO Clinical Characterisation Protocol. Lancet Reg Health Eur. 2021;8:100186.
50. Schou TM, Joca S, Wegener G, Bay-Richter C. Psychiatric and neuropsychiatric sequelae of COVID-19 - a systematic review. Brain Behav Immun. 2021;97:328–348.
51. Zheng C, Shao W, Chen X, Zhang B, Wang G, Zhang W. Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysis. Int J Infect Dis. 2022;114:252–260.
52. Antonelli M, Penfold RS, Merino J, et al. Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study. Lancet Infect Dis. 2022;22(1):43–55.
53. Moghadas SM, Moghadas SM, Vilches TN, et al. The impact of vaccination on coronavirus disease 2019 (COVID-19) outbreaks in the United States. Clin Infect Dis. 2021;73(12):2257–2264.
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)r ª 2023 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfLozano, AnaSalcedo Mejía, FernandoZakzuk, JosefinaALVIS ZAKZUK, NELSON RAFAELMoyano-Tamara, LinaSerrano-Coll, HéctorGastelbondo, Bertha IrinaMattar, SalimALVIS-ZAKZUK, NELSON J.Alvis-Guzmán, Nelson2023-09-22T14:26:29Z20242023-09-22T14:26:29Z2023Ana Lozano, Fernando Salcedo-Mejía, Josefina Zakzuk, Nelson Rafael Alvis-Zakzuk, Lina Moyano-Tamara, Héctor Serrano-Coll, Bertha Gastelbondo, Salim Mattar, Nelson J. Alvis-Zakzuk, Nelson Alvis-Guzman, Burden of COVID-19 in Córdoba, A Department of Colombia: Results of Disability-Adjusted Life-Years: Carga de COVID-19 en Córdoba, un Departamento de Colombia: Resultados de los Años de Vida Ajustados por Discapacidad, Value in Health Regional Issues, Volume 37, 2023, Pages 9-17, ISSN 2212-1099, https://doi.org/10.1016/j.vhri.2023.03.005.2212-1099https://hdl.handle.net/11323/1050910.1016/j.vhri.2023.03.0052212-1102Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Objectives: This study aimed to estimate the burden of acute COVID-19 in Córdoba, one of the most affected departments (states) in Colombia, through the estimation of disability-adjusted life-years (DALYs). Methods: DALYs were estimated based on the number of cases of severe acute respiratory syndrome coronavirus 2 infection cases reported by official Colombian sources. A transition probability matrix among severity states was calculated using data obtained from a retrospective cohort that included 1736 COVID-19 confirmed subjects living in Córdoba. Results: Córdoba had 120.23 deaths per 100 000 habitants during the study period (March 2020 to April 2021). Estimated total DALYs were 49 243 (2692 DALYs per 100 000 inhabitants), mostly attributed to fatal cases (99.7%). On average, 25 years of life were lost because of death by this infection. A relevant proportion of years of life lost because of COVID-19 (46.6%) was attributable to people , 60 years old and was greater in men. People $ 60 years old showed greater risk of progression to critical state than people between the age of 35 and 60 years (hazard ratio 2.5; 95% confidence interval 2.5-12.5) and younger than 35 years (9.1; 95% confidence interval 4.0-20.6). Conclusion: In Córdoba, premature mortality because of COVID-19 was substantially represented by people , 60 years old and was greater in males. Our data may be representative of Latin American populations with great infection spread during the first year of the pandemic and contribute to novel methodological aspects and parameter estimations that may be useful to measure COVID-19 burden in other countries of the region.Objetivos: Estimar la carga de COVID-19 aguda en Córdoba, uno de los departamentos (estados) más afectados de Colombia, a través de la estimación de años de vida ajustados por discapacidad (AVISAS). Métodos: Los AVISAS se estimaron con base en el número de casos de infección por severe acute respiratory syndrome coronavirus 2 reportados por fuentes oficiales colombianas. Se calculó una matriz de probabilidad de transición entre estados de gravedad a partir de los datos obtenidos de una cohorte retrospectiva que incluyó a 1.736 sujetos confirmados con COVID19 residentes en Córdoba. Resultados: Córdoba tuvo 120,23 defunciones por cada 100.000 habitantes durante el periodo de estudio (marzo de 2020 a abril de 2021). Los AVISAS totales estimados fueron 49.243 (2.692 AV por 100.000 habitantes), en su mayoría atribuidos a los casos mortales (99,7%). En promedio, se perdieron 25 años de vida debido a las muertes secundarias a esta infección. Una proporción relevante de años de vida perdidos a causa de la COVID-19 (46,6%) fue atribuible a las personas menores de 60 años y fue mayor en los hombres. Las personas $ 60 años presentaron un mayor riesgo de progresión a estado crítico en comparación con las personas entre 35-60 años (hazard ratio 2,5; intervalo de confianza 95% 2,5-12,5) y menores de 35 años (9,1; intervalo de confianza 95% 4,0-20,6). Conclusión: En Córdoba, la mortalidad prematura por COVID-19 estuvo sustancialmente representada por las personas menores de 60 años y fue mayor en el sexo masculino. Nuestros datos pueden ser representativos de poblaciones latinoamericanas con gran propagación de infecciones durante el primer año de la pandemia y aportan aspectos metodológicos novedosos para la estimación de parámetros que pueden ser útiles para medir la carga de COVID-19 en otros países de la región.9 páginasapplication/pdfengElsevier USAUnited Stateshttps://www.sciencedirect.com/science/article/pii/S221210992300033XBurden of COVID-19 in córdoba, a department of Colombia: results of disability-adjusted life-yearsCarga de COVID-19 en Córdoba, un departamento de Colombia: resultados de los años de vida ajustados por discapacidadArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaCórdobaValue in Health Regional Issues1. La OMS caracteriza a COVID-19 como una pandemia. 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Clin Infect Dis. 2021;73(12):2257–2264.17937Coronavirus infectionsDisability-adjusted life-yearSevere acute respiratory syndromeYears of life lostYears lived with disabilityAños de vida perdidosInfecciones por coronavirusAños vividos con discapacidadAños de vida ajustados por discapacidadPublicationORIGINALBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdfBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdfArtículoapplication/pdf1530060https://repositorio.cuc.edu.co/bitstreams/8abcc291-4310-48b8-8d8e-06a395b490c7/downloadafa8eab3899c8c3cecad7ada8eb7e000MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/cdb1e10f-fb40-4b99-be10-910f68890668/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdf.txtBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdf.txtExtracted texttext/plain41701https://repositorio.cuc.edu.co/bitstreams/ec7d0933-d26e-4b02-8d1e-1fdf0a95ad7f/downloade89898944aca47dd7f8007553d04500cMD53THUMBNAILBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdf.jpgBurden of COVID-19 in córdoba, a department of Colombia results of disability-adjusted life-years.pdf.jpgGenerated Thumbnailimage/jpeg14860https://repositorio.cuc.edu.co/bitstreams/55d231a0-61f3-4a2d-851b-70a5e5a5bfd6/downloadc321e6d6e9f1754b94011b56256bf73dMD5411323/10509oai:repositorio.cuc.edu.co:11323/105092024-09-17 11:05:51.387https://creativecommons.org/licenses/by-nc-nd/4.0/r ª 2023 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.


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