Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas

Objective. To evaluate the evolution of the COVID-19 pandemic in countries of the Americas, comparing health system data from before the appearance of the virus in the Region, accumulated cases and deaths before the deployment of public immunization strategies, and the current state of vaccination....

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Autores:
Medina Hernández, Edith Johana
Muñiz Olite, Jorge Luis
Llerena, Evelyn Barco
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
spa
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12394
Acceso en línea:
https://hdl.handle.net/20.500.12585/12394
Palabra clave:
Dengue;
Colombia;
COVID-19
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
dc.title.alternative.spa.fl_str_mv Análise multidimensional da evolução da pandemia da COVID-19 em países das Américas
Análisis multidimensional de la evolución de la pandemia de la COVID-19 en países de las Américas
title Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
spellingShingle Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
Dengue;
Colombia;
COVID-19
LEMB
title_short Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
title_full Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
title_fullStr Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
title_full_unstemmed Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
title_sort Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the Americas
dc.creator.fl_str_mv Medina Hernández, Edith Johana
Muñiz Olite, Jorge Luis
Llerena, Evelyn Barco
dc.contributor.author.none.fl_str_mv Medina Hernández, Edith Johana
Muñiz Olite, Jorge Luis
Llerena, Evelyn Barco
dc.subject.keywords.spa.fl_str_mv Dengue;
Colombia;
COVID-19
topic Dengue;
Colombia;
COVID-19
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description Objective. To evaluate the evolution of the COVID-19 pandemic in countries of the Americas, comparing health system data from before the appearance of the virus in the Region, accumulated cases and deaths before the deployment of public immunization strategies, and the current state of vaccination. Methods. An HJ-Biplot multivariate analysis and cluster analysis were performed for 28 countries in the Region of the Americas at three points in time: December 2019, December 2020, and December 2021. Results. In the Americas, heterogeneity was observed in the actions implemented to contain the pandemic, and this was reflected in different groups of countries. Conclusions. Not all countries in the Region of the Americas had the health conditions necessary to contain COVID-19. At the end of 2019, the United States, Canada, Brazil, and Cuba had advantages over other countries in the Region; however, actions implemented during 2020 to contain the pandemic created different groups of countries in terms of the prevalence of infections and deaths. At the end of 2020, Bolivia, Ecuador, and Mexico had critical levels of mortality. At the end of 2021, after the implementation of vaccination plans, more than 60% of the population of Argentina, Brazil, Canada, Chile, Colombia, Costa Rica, Cuba, Panama, the United States, and Uruguay had completed the vaccination schedule. © 2022 Pan American Health Organization. All rights reserved.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-07-21T20:50:37Z
dc.date.available.none.fl_str_mv 2023-07-21T20:50:37Z
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Medina Hernández, E. J., Muñiz Olite, J. L., & Barco Llerena, E. (2022). Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the AmericasAnálise multidimensional da evolução da pandemia da COVID-19 em países das Américas. Rev Panam Salud Publica, e49-e49.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12394
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Medina Hernández, E. J., Muñiz Olite, J. L., & Barco Llerena, E. (2022). Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the AmericasAnálise multidimensional da evolução da pandemia da COVID-19 em países das Américas. Rev Panam Salud Publica, e49-e49.
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12394
dc.language.iso.spa.fl_str_mv spa
language spa
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dc.format.extent.none.fl_str_mv 6 páginas
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Revista Panamericana de Salud Publica/Pan American Journal of Public Health
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spelling Medina Hernández, Edith Johanadd81beac-4fae-44be-8df9-4bc4d2b541c9Muñiz Olite, Jorge Luis3e506743-cbba-4d3d-873b-c993f1fb2f04Llerena, Evelyn Barco57ca9d4d-8c34-4eb2-9b1f-37fe3b6d74c62023-07-21T20:50:37Z2023-07-21T20:50:37Z20222023Medina Hernández, E. J., Muñiz Olite, J. L., & Barco Llerena, E. (2022). Multidimensional analysis of the evolution of the COVID-19 pandemic in countries of the AmericasAnálise multidimensional da evolução da pandemia da COVID-19 em países das Américas. Rev Panam Salud Publica, e49-e49.https://hdl.handle.net/20.500.12585/12394Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarObjective. To evaluate the evolution of the COVID-19 pandemic in countries of the Americas, comparing health system data from before the appearance of the virus in the Region, accumulated cases and deaths before the deployment of public immunization strategies, and the current state of vaccination. Methods. An HJ-Biplot multivariate analysis and cluster analysis were performed for 28 countries in the Region of the Americas at three points in time: December 2019, December 2020, and December 2021. Results. In the Americas, heterogeneity was observed in the actions implemented to contain the pandemic, and this was reflected in different groups of countries. Conclusions. Not all countries in the Region of the Americas had the health conditions necessary to contain COVID-19. At the end of 2019, the United States, Canada, Brazil, and Cuba had advantages over other countries in the Region; however, actions implemented during 2020 to contain the pandemic created different groups of countries in terms of the prevalence of infections and deaths. At the end of 2020, Bolivia, Ecuador, and Mexico had critical levels of mortality. At the end of 2021, after the implementation of vaccination plans, more than 60% of the population of Argentina, Brazil, Canada, Chile, Colombia, Costa Rica, Cuba, Panama, the United States, and Uruguay had completed the vaccination schedule. © 2022 Pan American Health Organization. All rights reserved.6 páginasapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Revista Panamericana de Salud Publica/Pan American Journal of Public HealthMultidimensional analysis of the evolution of the COVID-19 pandemic in countries of the AmericasAnálise multidimensional da evolução da pandemia da COVID-19 em países das AméricasAnálisis multidimensional de la evolución de la pandemia de la COVID-19 en países de las Américasinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Dengue;Colombia;COVID-19LEMBCartagena de IndiasSilva-Jaimes, M.I. SARS-CoV-2 and other emerging viruses and their relationship to safety in the food chain (2020) Scientia Agropecuaria, 11 (2), pp. 267-277. Cited 5 times. http://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/2929 doi: 10.17268/SCI.AGROPECU.2020.02.15Idrovo, AJ. Endemias Epidemias y Conglomerados (2000) Rev la Fac Med, 48 (2). Cited 3 times. Disponible en: Acceso el 17 de junio de 2021 https://revistas.unal.edu.co/index.php/revfacmed/article/download/19623/20690/0Garcia, P.J., Alarcón, A., Bayer, A., Buss, P., Guerra, G., Ribeiro, H., Rojas, K., (...), Atun, R. COVID-19 Response in Latin America (2020) American Journal of Tropical Medicine and Hygiene, 103 (5), pp. 1765-1772. Cited 90 times. http://www.ajtmh.org/content/journals/10.4269/ajtmh.20-0765 doi: 10.4269/ajtmh.20-0765Herrera-Añazco, P., Urrunaga-Pastor, D., Benites-Zapata, V.A., Bendezu-Quispe, G., Toro-Huamanchumo, C.J., Hernandez, A.V. COVID-19 symptomatology and compliance with community mitigation strategies in Latin America early during the COVID-19 pandemic (2022) Preventive Medicine Reports, 25, art. no. 101665. Cited 5 times. https://www.journals.elsevier.com/preventive-medicine-reports doi: 10.1016/j.pmedr.2021.101665(2020) Definición de casos de COVID-19 utilizada por la OMS. Cited 2 times. Disponible en: Acceso el 27 de septiembre de 2021 https://apps.who.int/iris/bitstream/handle/10665/336482/WHO-2019-nCoV-Surveillance_Case_Definition-2020.1-spa.pdfGabriel, K.R. The biplot graphic display of matrices with application to principal component analysis (1971) Biometrika, 58 (3), pp. 453-467. Cited 1993 times. doi: 10.1093/biomet/58.3.453Nieto, A.B., Galindo, M.P., Leiva, V., Vicente-Galindo, P. A methodology for biplots based on bootstrapping with r (Open Access) (2014) Revista Colombiana de Estadistica, 37 (2), pp. 367-397. Cited 16 times. http://www.revistas.unal.edu.co/index.php/estad/article/download/47944/49415 doi: 10.15446/rce.v37n2spe.47944Kim, S.-K., Annunziato, R.A. Estimating correlations among cardiovascular patients' psychiatric and physical symptom indicators: The biplot in correspondence analysis approach (Open Access) (2018) International Journal of Methods in Psychiatric Research, 27 (3), art. no. e1611. Cited 6 times. http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1557-0657 doi: 10.1002/mpr.1611Escobar, K.M., Vicente-Villardon, J.L., de la Hoz-M, J., Useche-Castro, L.M., Alarcón Cano, D.F., Siteneski, A. Frequency of neuroendocrine tumor studies: Using latent dirichlet allocation and hj-biplot statistical methods (Open Access) (2021) Mathematics, 9 (18), art. no. 2281. Cited 5 times. https://www.mdpi.com/2227-7390/9/18/2281/pdf doi: 10.3390/math9182281Caicedo-Ochoa, Y., Rebellón-Sánchez, D.E., Peñaloza-Rallón, M., Cortés-Motta, H.F., Méndez-Fandiño, Y.R. Effective Reproductive Number estimation for initial stage of COVID-19 pandemic in Latin American Countries (Open Access) (2020) International Journal of Infectious Diseases, 95, pp. 316-318. Cited 44 times. https://www.journals.elsevier.com/international-journal-of-infectious-diseases doi: 10.1016/j.ijid.2020.04.069Hennis, A.J.M., Coates, A., del Pino, S., Ghidinelli, M., de Leon, R.G.P., Bolastig, E., Castellanos, L., (...), Luciani, S. COVID-19 and inequities in the Americas: Lessons learned and implications for essential health services (Open Access) (2021) Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 45, art. no. e130. Cited 6 times. https://iris.paho.org/handle/10665.2/55418 doi: 10.26633/RPSP.2021.130Cavaillon, J.-M., Osuchowski, M.F. COVID-19 and earlier pandemics, sepsis, and vaccines: A historical perspective (Open Access) (2021) Journal of Intensive Medicine, 1 (1), pp. 4-13. Cited 6 times. https://www.journals.elsevier.com/journal-of-intensive-medicine doi: 10.1016/j.jointm.2021.04.003Prieto-Silva, R., Sarmiento-Hernández, C.A., Prieto-Silva, F. Morbidity and mortality due to COVID-19 in Latin America: Study of three countries-February to July 2020 (Open Access) (2020) Revista de Salud Publica, 22 (2), pp. 1-7. 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