Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort st...
- Autores
- Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; Lotufo, Paulo; Ferreccio, Catterina; Irazola, Vilma; Perel, Pablo; Gregg, Edward W; Miranda, J. Jaime; Ezzati, Majid; Danaei, Goodarz; Aguilar Salinas, Carlos A.; Alvarez Váz, Ramón; Amadio, Marselle B.; Baccino, Cecilia; Bambs, Claudia; Bastos, João Luiz; Beckles, Gloria; Bernabe Ortiz, Antonio; Bernardo, Carla DO; Bloch, Katia V.; Blümel, Juan E.; Boggia, Jose G.; Borges, Pollyanna K.; Bravo, Miguel; Brenes Camacho, Gilbert; Carbajal, Horacio A.; Castillo Rascón, María Susana
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)
Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino Unido
Fil: Stern, Dalia. Instituto Nacional de Salud Publica (insp);
Fil: Hambleton, Ian R.. The University Of The West Indies; Barbados
Fil: Hennis, Anselm. Pan American Health Organization; Estados Unidos
Fil: Cesare, Mariachiara Di. Middlesex University; Reino Unido
Fil: Lotufo, Paulo. Universidade de Sao Paulo; Brasil
Fil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; Chile
Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
Fil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino Unido
Fil: Gregg, Edward W. Imperial College London; Reino Unido
Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú
Fil: Ezzati, Majid. Imperial College London; Reino Unido
Fil: Danaei, Goodarz. Harvard Medical School; Estados Unidos
Fil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; México
Fil: Alvarez Váz, Ramón. Universidad de la República; Uruguay
Fil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; Brasil
Fil: Baccino, Cecilia. Universidad de la República; Uruguay
Fil: Bambs, Claudia. Pontificia Universidad Católica de Chile; Chile
Fil: Bastos, João Luiz. Universidade Federal de Santa Catarina; Brasil
Fil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados Unidos
Fil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; Perú
Fil: Bernardo, Carla DO. University of Adelaide; Australia
Fil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; Brasil
Fil: Blümel, Juan E.. Universidad de Chile; Chile
Fil: Boggia, Jose G.. Universidad de la República; Uruguay
Fil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; Brasil
Fil: Bravo, Miguel. MELISA Institute; Chile
Fil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa Rica
Fil: Carbajal, Horacio A.. Universidad Nacional de La Plata; Argentina
Fil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; Argentina - Materia
-
Cardio-metabolic risk factors
Non-fatal cardiovascular disease
Latin America
Caribbean - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/212888
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Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studiesCarrillo Larco, Rodrigo M.Stern, DaliaHambleton, Ian R.Hennis, AnselmCesare, Mariachiara DiLotufo, PauloFerreccio, CatterinaIrazola, VilmaPerel, PabloGregg, Edward WMiranda, J. JaimeEzzati, MajidDanaei, GoodarzAguilar Salinas, Carlos A.Alvarez Váz, RamónAmadio, Marselle B.Baccino, CeciliaBambs, ClaudiaBastos, João LuizBeckles, GloriaBernabe Ortiz, AntonioBernardo, Carla DOBloch, Katia V.Blümel, Juan E.Boggia, Jose G.Borges, Pollyanna K.Bravo, MiguelBrenes Camacho, GilbertCarbajal, Horacio A.Castillo Rascón, María SusanaCardio-metabolic risk factorsNon-fatal cardiovascular diseaseLatin AmericaCaribbeanhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z)Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino UnidoFil: Stern, Dalia. Instituto Nacional de Salud Publica (insp);Fil: Hambleton, Ian R.. The University Of The West Indies; BarbadosFil: Hennis, Anselm. Pan American Health Organization; Estados UnidosFil: Cesare, Mariachiara Di. Middlesex University; Reino UnidoFil: Lotufo, Paulo. Universidade de Sao Paulo; BrasilFil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; ChileFil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino UnidoFil: Gregg, Edward W. Imperial College London; Reino UnidoFil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; PerúFil: Ezzati, Majid. Imperial College London; Reino UnidoFil: Danaei, Goodarz. Harvard Medical School; Estados UnidosFil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; MéxicoFil: Alvarez Váz, Ramón. Universidad de la República; UruguayFil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; BrasilFil: Baccino, Cecilia. Universidad de la República; UruguayFil: Bambs, Claudia. Pontificia Universidad Católica de Chile; ChileFil: Bastos, João Luiz. Universidade Federal de Santa Catarina; BrasilFil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados UnidosFil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; PerúFil: Bernardo, Carla DO. University of Adelaide; AustraliaFil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; BrasilFil: Blümel, Juan E.. Universidad de Chile; ChileFil: Boggia, Jose G.. Universidad de la República; UruguayFil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; BrasilFil: Bravo, Miguel. MELISA Institute; ChileFil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa RicaFil: Carbajal, Horacio A.. Universidad Nacional de La Plata; ArgentinaFil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; ArgentinaElsevier2021-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/212888Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-122667-193XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.lana.2021.100068info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2667193X21000648info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:26Zoai:ri.conicet.gov.ar:11336/212888instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:15:26.276CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
title |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
spellingShingle |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies Carrillo Larco, Rodrigo M. Cardio-metabolic risk factors Non-fatal cardiovascular disease Latin America Caribbean |
title_short |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
title_full |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
title_fullStr |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
title_full_unstemmed |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
title_sort |
Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies |
dc.creator.none.fl_str_mv |
Carrillo Larco, Rodrigo M. Stern, Dalia Hambleton, Ian R. Hennis, Anselm Cesare, Mariachiara Di Lotufo, Paulo Ferreccio, Catterina Irazola, Vilma Perel, Pablo Gregg, Edward W Miranda, J. Jaime Ezzati, Majid Danaei, Goodarz Aguilar Salinas, Carlos A. Alvarez Váz, Ramón Amadio, Marselle B. Baccino, Cecilia Bambs, Claudia Bastos, João Luiz Beckles, Gloria Bernabe Ortiz, Antonio Bernardo, Carla DO Bloch, Katia V. Blümel, Juan E. Boggia, Jose G. Borges, Pollyanna K. Bravo, Miguel Brenes Camacho, Gilbert Carbajal, Horacio A. Castillo Rascón, María Susana |
author |
Carrillo Larco, Rodrigo M. |
author_facet |
Carrillo Larco, Rodrigo M. Stern, Dalia Hambleton, Ian R. Hennis, Anselm Cesare, Mariachiara Di Lotufo, Paulo Ferreccio, Catterina Irazola, Vilma Perel, Pablo Gregg, Edward W Miranda, J. Jaime Ezzati, Majid Danaei, Goodarz Aguilar Salinas, Carlos A. Alvarez Váz, Ramón Amadio, Marselle B. Baccino, Cecilia Bambs, Claudia Bastos, João Luiz Beckles, Gloria Bernabe Ortiz, Antonio Bernardo, Carla DO Bloch, Katia V. Blümel, Juan E. Boggia, Jose G. Borges, Pollyanna K. Bravo, Miguel Brenes Camacho, Gilbert Carbajal, Horacio A. Castillo Rascón, María Susana |
author_role |
author |
author2 |
Stern, Dalia Hambleton, Ian R. Hennis, Anselm Cesare, Mariachiara Di Lotufo, Paulo Ferreccio, Catterina Irazola, Vilma Perel, Pablo Gregg, Edward W Miranda, J. Jaime Ezzati, Majid Danaei, Goodarz Aguilar Salinas, Carlos A. Alvarez Váz, Ramón Amadio, Marselle B. Baccino, Cecilia Bambs, Claudia Bastos, João Luiz Beckles, Gloria Bernabe Ortiz, Antonio Bernardo, Carla DO Bloch, Katia V. Blümel, Juan E. Boggia, Jose G. Borges, Pollyanna K. Bravo, Miguel Brenes Camacho, Gilbert Carbajal, Horacio A. Castillo Rascón, María Susana |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Cardio-metabolic risk factors Non-fatal cardiovascular disease Latin America Caribbean |
topic |
Cardio-metabolic risk factors Non-fatal cardiovascular disease Latin America Caribbean |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z) Fil: Carrillo Larco, Rodrigo M.. Imperial College London; Reino Unido Fil: Stern, Dalia. Instituto Nacional de Salud Publica (insp); Fil: Hambleton, Ian R.. The University Of The West Indies; Barbados Fil: Hennis, Anselm. Pan American Health Organization; Estados Unidos Fil: Cesare, Mariachiara Di. Middlesex University; Reino Unido Fil: Lotufo, Paulo. Universidade de Sao Paulo; Brasil Fil: Ferreccio, Catterina. Pontificia Universidad Católica de Chile; Chile Fil: Irazola, Vilma. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina Fil: Perel, Pablo. London School of Hygiene and Tropical Medicine; Reino Unido Fil: Gregg, Edward W. Imperial College London; Reino Unido Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú Fil: Ezzati, Majid. Imperial College London; Reino Unido Fil: Danaei, Goodarz. Harvard Medical School; Estados Unidos Fil: Aguilar Salinas, Carlos A.. Instituto Nacional de Ciencias Médicas y Nutrición; México Fil: Alvarez Váz, Ramón. Universidad de la República; Uruguay Fil: Amadio, Marselle B.. Centro Universitario Senac Santo Amaro; Brasil Fil: Baccino, Cecilia. Universidad de la República; Uruguay Fil: Bambs, Claudia. Pontificia Universidad Católica de Chile; Chile Fil: Bastos, João Luiz. Universidade Federal de Santa Catarina; Brasil Fil: Beckles, Gloria. Centers for Disease Control and Prevention; Estados Unidos Fil: Bernabe Ortiz, Antonio. Universidad Peruana Cayetano Heredia; Perú Fil: Bernardo, Carla DO. University of Adelaide; Australia Fil: Bloch, Katia V.. Universidade Federal do Rio de Janeiro; Brasil Fil: Blümel, Juan E.. Universidad de Chile; Chile Fil: Boggia, Jose G.. Universidad de la República; Uruguay Fil: Borges, Pollyanna K.. Universidade Estadual do Ponta Grossa; Brasil Fil: Bravo, Miguel. MELISA Institute; Chile Fil: Brenes Camacho, Gilbert. Universidad de Costa Rica; Costa Rica Fil: Carbajal, Horacio A.. Universidad Nacional de La Plata; Argentina Fil: Castillo Rascón, María Susana. Universidad Nacional de Misiones; Argentina |
description |
Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains unknown. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n=168,287) and non-fatal (13 cohorts, n=27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 100,000 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those estimated from cohorts in high-income countries. Funding: Wellcome Trust (214185/Z/18/Z) |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/212888 Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-12 2667-193X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/212888 |
identifier_str_mv |
Carrillo Larco, Rodrigo M.; Stern, Dalia; Hambleton, Ian R.; Hennis, Anselm; Cesare, Mariachiara Di; et al.; Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: An individual-level pooled analysis of 31 cohort studies; Elsevier; The Lancet Regional Health - Americas; 4; 100068; 9-2021; 1-12 2667-193X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.lana.2021.100068 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2667193X21000648 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614090483302400 |
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13.070432 |