Geovisor de vulnerabilidad contra COVID-19 para Colombia

Autores/as

  • Óscar Espinosa
  • Jhonathan Rodríguez
  • Adriana Robayo
  • Lelio Arias
  • Sandra Moreno
  • Mariana Ospina
  • David Insuasti
  • Juan Oviedo

DOI:

https://doi.org/10.56085/01238590.518

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Biografía del autor/a

Óscar Espinosa

Instituto de Evaluación Tecnológica en Salud, Colombia; Universidad Nacional de Colombia, Colombia

Jhonathan Rodríguez

Instituto de Evaluación Tecnológica en Salud, Colombia; Universidad Nacional de Colombia, Colombia

Adriana Robayo

Instituto de Evaluación Tecnológica en Salud, Colombia

Lelio Arias

Departamento Administrativo Nacional de Estadística

Sandra Moreno

Departamento Administrativo Nacional de Estadística

Mariana Ospina

Departamento Administrativo Nacional de Estadística

David Insuasti

Departamento Nacional de Planeación

Juan Oviedo

Departamento Administrativo Nacional de Estadística

Referencias bibliográficas

Acharya R, Porwal A. A vulnerability index for the management of and response to the COVID-19 epidemic in India: An ecological study. Lancet Glob Health. 2020 sept.;8(9):E1142-E1151. Disponible en: https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(20)30300-4/fulltext. https://doi.org/10.1016/S2214-109X(20)30300-4

https://doi.org/10.1016/S2214-109X(20)30300-4

Albitar O, Ballouze R, Ooi J, Sheikh Ghadzi, S. Risk factors for mortality among COVID-19 patients. Diabetes Res Clin Pract. 2020 ag.;166:1082-93. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332436/pdf/main.pdf. https://doi.org/10.1016/j.diabres.2020.108293

https://doi.org/10.1016/j.diabres.2020.108293

COVID-19 Healthcare Coalition. 2020. Tracking vulnerable population by region. Disponible en: https://c19hcc.org/resource/vulnerable-population

Daras K, Alexiou A, Rose T, Buchan I, Taylor-Robinson D, Barr B. How does vulnerability to COVID-19 vary between communities in England? Developing a small area vulnerability index (SAVI). J Epidemiol Community Health. 2021 ag.;75(8):729-734. Disponible en: https://jech.bmj.com/content/75/8/729. https://doi.org/10.1136/jech-2020-215227

https://doi.org/10.1136/jech-2020-215227

Espinosa O, Dos Santos-Zanetti A, Fornanciari-Antunes E, Gulin-Longhi F, De Matos T, Battaglini, P. (2020). Prevalence of comorbidities in patients and mortality cases affected by SARS-CoV2: a systematic review and meta-analysis. Rev Inst Med Trop Sao Paulo. 2020;62:e43:1-13. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310609/. https://doi.org/10.1590/s1678-9946202062043

https://doi.org/10.1590/s1678-9946202062043

Hartigan J, Wong M. Algorithm AS 136: a k-means clustering algorithm. Appl Stat. 1979;28(1):100-108. https://doi.org/10.2307/2346830

https://doi.org/10.2307/2346830

Li J, Huang D, Zou B, Yang H, Hui W, Rui F, et al. Epidemiology of COVID-19: a systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes. J Med Virol. 2021;93(3):1449-1458. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436673/pdf/JMV-93-1449.pdf. https://doi.org/10.1002/jmv.26424

https://doi.org/10.1002/jmv.26424

Marvel S, House J, Wheeler M, Song K, Zhou Y, Wright F, et al. The COVID-19 pandemic vulnerability index (PVI) dashboard: monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect. 2021;129(1):017701. Disponible en: https://ehp.niehs.nih.gov/doi/10.1289/EHP8690. https://doi.org/10.1289/EHP8690

https://doi.org/10.1289/EHP8690

Tiwari A, Dadhania A, Ragunathrao V, Oliveira E. Using machine learning to develop a novel COVID-19 vulnerability index (C19VI). Sci Total Environ. 2021;773:145650. Disponible en: https://www.sciencedirect.com/science/article/pii/S004896972100718X. https://doi.org/10.1016/j.scitotenv.2021.145650

https://doi.org/10.1016/j.scitotenv.2021.145650

Hastie T, Tibshirani R, Friedman J. (2008). The elements of statistical learning. Data mining, inference, and prediction. 2 ed. Stanford: Springer.

https://doi.org/10.1007/978-0-387-84858-7

Williamson E, Walker A, Bhaskaran K, Bacon S, Bates C, Morton C, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430-436. Disponible en: https://www.nature.com/articles/s41586-020-2521-4. https://doi.org/10.1038/s41586-020-2521-4

https://doi.org/10.1038/s41586-020-2521-4

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Publicado

2022-12-01

Cómo citar

Espinosa, Óscar, Rodríguez, J., Robayo, A., Arias, L., Moreno, S., Ospina, M., Insuasti, D., & Oviedo, J. (2022). Geovisor de vulnerabilidad contra COVID-19 para Colombia. Boletín Epidemiológico Distrital - Bed, 19(8-12), 20–23. https://doi.org/10.56085/01238590.518

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Resumen del suplemento