Letalidad por SARS-CoV-2 en Colombia años 2020 y 2021

Jorge Enrique Díaz Pinzón

doi:10.31260/RepertMedCir.01217372.1341

ARS-COV-2 lethality rate in Colombia: years 2020 y 2021

Letalidad por SARS-CoV-2 en Colombia años 2020 y 2021

Published 2022-06-14

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Vol. 31 (2022): Suplemento COVID-19

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Research Article

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Díaz Pinzón, J. E. (2022). ARS-COV-2 lethality rate in Colombia: years 2020 y 2021. Journal of Medicine and Surgery Repertoire, 31, 52-56. https://doi.org/10.31260/RepertMedCir.01217372.1341

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https://doi.org/10.31260/RepertMedCir.01217372.1341

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Jorge Enrique Díaz Pinzón

Secretaría de Educación de Soacha

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https://orcid.org/0000-0002-8870-7769

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Jorge Enrique Díaz Pinzón,

Ingeniero. Magister en Gestión de la Tecnología Educativa, Especialista en Administración de la Informática Educativa. Docente de matemáticas e Investigador. Secretaría de Educación de Soacha, Cundinamarca, Colombia.

COVID-19

SARS CoV-2

pandemic

lethality

mortality

Introduction: This pandemic poses the need to understand how to survive infections and why treatment may be heterogenous. Objective: to review the COVID-19 case fatality rate in Colombia between March 6, 2020 and December 31, 2021. Methodology: a cross-sectional study. Data was obtained from the Ministry of Health and Social Protection website based on the COVID – 19 vaccination plan. Results: COVID-19 case fatality rates were established by months in 2020 and 2021 in Colombia. It was observed that for the abovementioned period, the month with the highest case fatality rate was February 2021 with 3.69% and the lowest was December 2021 with 1.61%. Conclusion: the records of lethality and mortality rates enable monitoring the pandemic but are biased due to delays in confirming SAR-CoV2 infection and delays in reporting.

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Wang J, Yin-Chi C, Niu R, Wong E, Van Wyk M. Modeling the Impact of Vaccination on COVID-19 and its Delta Variant. Research Square. 2021. https://doi.org/10.21203/rs.3.rs-1171015/v1 DOI: https://doi.org/10.21203/rs.3.rs-1171015/v1
Belongia EA, Osterholm MT. COVID-19 and flu, a perfect storm. Science. 2020;368(6496):1163. doi: 10.1126/science.abd2220 DOI: https://doi.org/10.1126/science.abd2220
Wigginton NS. Cunningham RM, Katz RH, Lidstrom M, Moler KA, Wirtz D, Zuber MT. Moving academic research forward during COVID-19. Science. 2020;368(6496):1190-1192. doi: 10.1126/science.abc5599 DOI: https://doi.org/10.1126/science.abc5599
Jeong H, Rogers J, Xu S. Continuous on-body sensing for the COVID-19 pandemic: Gaps and opportunities. Sci Adv. 2020;6(36):eabd4794. doi: 10.1126/sciadv.abd4794 DOI: https://doi.org/10.1126/sciadv.abd4794
Singer BD. COVID-19 and the next influenza season. Sci Adv. 2020;6(31):eabd0086. doi: 10.1126/sciadv.abd0086 DOI: https://doi.org/10.1126/sciadv.abd0086
Ayres JS. Surviving COVID-19: A disease tolerance perspective. Sci Adv. 2020;6(18):eabc1518. doi: 10.1126/sciadv.abc1518 DOI: https://doi.org/10.1126/sciadv.abc1518
Kupferschmidt K, Cohen J. Race to find COVID-19 treatments accelerates. Science. 2020;367(6485):1412-1413. doi: 10.1126/science.367.6485.1412 DOI: https://doi.org/10.1126/science.367.6485.1412
Ayres JS. The Biology of Physiological Health. Cell. 2020;181(2):250-269. https://doi.org/10.1016/j.cell.2020.03.036 DOI: https://doi.org/10.1016/j.cell.2020.03.036
Gao Q, Bao L, Mao H, Wang L, Xu K, Yang M, et al. Development of an inactivated vaccine candidate for SARS -CoV-2. Science. 2020;369(6499):77-81. doi: 10.1126/science.abc1932 DOI: https://doi.org/10.1126/science.abc1932
World Health Organization. Coronavirus Disease (COVID-19) Dashboard [Internet]. 2021 [Consultado 25 de julio de 2021]. Disponible en: https://covid19.who.int/
Moreno-Altamirano A, López-Moreno S, Corcho-Berdugo A. Principales medidas en epidemiología [Internet]. 2017 [Citado 25 de julio de 2020]. Disponible en: https://www.scielosp.org/article/spm/2000.v42n4/337-348/es/ DOI: https://doi.org/10.1590/S0036-36342000000400009
Quintana-Salgado L. Medidas de frecuencia en epidemiología [Internet]. 2015 [Citado 25 de julio de 2020]. Disponible en: https://es.slideshare.net/lualberts20/medidas-de-frecuencia-en-epidemiologa-2015
Díaz Pinzón JE. Descripción estadística del COVID- 19 según el grupo etario en Colombia. Repert Med Cir. 2020;29(Núm. Supl. 1):79–85. https://doi.org/10.31260/RepertMedCir.01217372.1098 DOI: https://doi.org/10.31260/RepertMedCir.01217372.1098
Díaz Pinzón JE. Continuidad con los procesos pedagógicos de los estudiantes durante la pandemia ocasionada por el COVID-19. Repert Med Cir. 2020;29(Núm. Supl. 1):108–112. https://revistas.fucsalud.edu.co/index.php/repertorio/article/view/1128
Díaz Pinzón, J. E. (2020). Positividad y proporción para muestras por COVID-19 en Colombia. 2020;29(Núm. Supl. 1):127–130. https://doi.org/10.31260/RepertMedCir.01217372.1134 DOI: https://doi.org/10.31260/RepertMedCir.01217372.1134
Instituto Nacional de Salud. Coronavirus (COVID-19) en Colombia [Internet]. 2022 (Consultado Ene 2022). Disponible en: https://www.ins.gov.co/Paginas/Inicio.aspx
Ward S, Lindsley A, Courter J, Assa A. Clinical testing for COVID-19. J Allergy Clin Inmunol. 2020;146(1):23–34. https://doi.org/10.1016/j.jaci.2020.05.012 DOI: https://doi.org/10.1016/j.jaci.2020.05.012
Bravo L, Grillo-Ardila E. Análisis de mortalidad por COVID-19 en Colombia: Medidas de ocurrencia. Univ Salud. 2020;22(3):292-298. https://doi.org/10.22267/rus.202203.202 DOI: https://doi.org/10.22267/rus.202203.202