Observation of the COVID-19 vaccination plan in Colombia

Observación del plan de vacunación del COVID-19 en Colombia

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Díaz Pinzón, J. E. (2021). Observation of the COVID-19 vaccination plan in Colombia. Journal of Medicine and Surgery Repertoire, 30. https://doi.org/10.31260/RepertMedCir.01217372.1273
Published: Oct 27, 2021
Doi
https://doi.org/10.31260/RepertMedCir.01217372.1273
Issue
Vol. 30 (2021): Suplemento COVID-19
Section
Research Article
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Main Article Content

Jorge Enrique Díaz Pinzón
Secretaría de Educación de Soacha

Abstract

Introduction: since the first cases of coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), were identified on December 2019, the resulting pandemic has led to 210 million confirmed cases and more than 4.4 million deaths around the globe as of April 6 2021. Objective: to measure the SARS-COV-2 vaccination plan performance in the period from February 17 to August 17 2021.  Methodology: a cross-sectional study using the information released in the Ministry of Health and Social Protection webpage based on the national vaccination plan. Results: the highest number of doses (594.993 doses), was administered on August 6, the highest number of second doses was administered on June 29 (235.048), the highest number (165.266) of single dose regimens was administered on July 15 and the most completed vaccination schedules (337.354) were achieved on July 9. Conclusion: monitoring the vaccination process is essential to gain understanding on the effectiveness, a possible drop of immune response over time, and the future effects of these vaccines.

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Author Biography

Jorge Enrique Díaz Pinzón, Secretaría de Educación de Soacha

Ingeniero. Magister en Gestión de la Tecnología Educativa, Especialista en Administración de la Informática Educativa. Docente de matemáticas e Investigador.

References

Xu Z, Shi L, Wang, Zhang J, Huang L, Zhang C, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir Med. 2020;8(4):420-422.. doi: 10.1016/S2213-2600(20)30076-X.

Lucchese G. Epitopes for a 2019-nCoV vaccine. Cell Mol Immunol. 2020;17(5):539-540. doi: 10.1038/s41423-020-0377-z

Cohen J. Vaccine designers take first shots at COVID-19. Science. 2020;368(6486):14-16. doi: 10.1126/science.368.6486.14.

Lurie N, Saville M, Hatchett R, Halton J. Developing Covid-19 Vaccines at Pandemic Speed. N Engl J Med. 2020;382(21):1969-1973. doi: 10.1056/NEJMp2005630.

Priesemann V, Brinkmann MM, Ciesek S, Cuschieri S, et al. Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections. Lancet. 2021;397(10269):92-93. doi: 10.1016/S0140-6736(20)32625-8

Priesemann V, Balling R, Brinkmann MM, Ciesek S, Czypionka T, et al. An action plan for pan-European defence against new SARS-CoV-2 variants. Lancet. 2021;397(10273):469-470. doi: 10.1016/S0140-6736(21)00150-1

Davies NG, Abbott S, Barnard RC, Jarvis CI, Kucharski AJ, et al. Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England. Science. 2021 Apr 9;372(6538):eabg3055. doi: 10.1126/science.abg3055

Abbott S, Funk S, CMMID COVID-19 Working Group. Local area reproduction numbers and S-gene target failure [Internet]. 2021 [citado 19 de abril de 2021]. Disponible en: https://cmmid.github.io/topics/covid19/local-r-sgtf.html

Horby P, Huntley C, Davies N, Edmunds J, et al. NERVTAG paper on COVID-19 variant of concern B.1.1.7 [Internet]. Department of Health and Social Care; 2021 [citado 19 de abril de 2021]. Disponible en: https://www.gov.uk/government/publications/nervtag-paper-on-covid-19-variant-of-concern-b117

Bubar KM, Reinholt K, Kissler SM, Lipsitch M, et al. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus. Science. 2021;371(6532):916-921. doi: 10.1126/science.abe6959

Ramos AM, Vela-Pérez M, Ferrández MR, Kubik AB, Ivorra, B. Modeling the impact of SARS-CoV-2 variants and vaccines on the spread of COVID-19. Commun Nonlinear Sci Numer Simul. 2021;102:105937. doi: 10.1016/j.cnsns.2021.105937

Ministerio de Salud y protección Social. Vacunación contra COVID-19 [Internet]. 2021 [citado 19 de abril de 2021]. Disponible en: https://www.minsalud.gov.co/salud/publica/Vacunacion/Paginas/Vacunacion-covid-19.aspx

Díaz Pinzón JE. Análisis de los resultados del contagio del COVID-19 respecto a su distribución geográfica en Colombia. Repert Med Cir. 2020;29(Núm. Supl.1):60–64. https://doi.org/10.31260/RepertMedCir.01217372.1082

Díaz Pinzón JE. Perspectiva del tiempo para alcanzar la inmunidad de rebaño para COVID-19 a nivel mundial. Repert Med Cir. 2021;30(Núm. Supl.1):61-66. https://doi.org/10.31260/RepertMedCir.01217372.1245

Díaz Pinzón, J. E. (2021). Proyección del tiempo para alcanzar la inmunidad de rebaño para COVID-19 en Bogotá. Repert Med Cir. 2021;30(Núm. Supl.1):79-83. https://doi.org/10.31260/RepertMedCir.01217372.1252

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