Geovisor de vulnerabilidad contra COVID-19 para Colombia

Autores/as

  • Óscar Espinosa Universidad Nacional de Colombia. Colombia Autor/a
  • Jhonathan Rodríguez Universidad Nacional de Colombia. Colombia Autor/a
  • Adriana Robayo Instituto de Evaluación Tecnológica en Salud. Colombia Autor/a
  • Lelio Arias Departamento Administrativo Nacional de Estadística Autor/a
  • Sandra Moreno Departamento Administrativo Nacional de Estadística Autor/a
  • Mariana Ospina Departamento Administrativo Nacional de Estadística Autor/a
  • David Insuasti Departamento Nacional de Planeación Autor/a
  • Juan Oviedo Departamento Administrativo Nacional de Estadística Autor/a

DOI:

https://doi.org/10.56085/01238590.518

Descargas

Los datos de descarga aún no están disponibles.

Biografía del autor/a

  • Óscar Espinosa, Universidad Nacional de Colombia. Colombia

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

  • Jhonathan Rodríguez, Universidad Nacional de Colombia. Colombia

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

  • Adriana Robayo, Instituto de Evaluación Tecnológica en Salud. Colombia

    Instituto de Evaluación Tecnológica en Salud, Colombia.

Referencias

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

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

Espinosa O, Dos Santos-Zanetti A, Fornanciari-Antunes E, Gulin-Longhi F, De Matos T, Batta-glini, 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- Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310609/. 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

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

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

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

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

Williamson E, Walker A, Bhaskaran K, Bacon S, Bates C, Morton C, et al. Factors associated with COVID-19-related death using Open SAFELY.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

Descargas

Publicado

2022-12-31

Número

Sección

Resúmenes centrales

Cómo citar

Geovisor de vulnerabilidad contra COVID-19 para Colombia. (2022). Boletín Epidemiológico Distrital - BED, 19(8-12), 20-23. https://doi.org/10.56085/01238590.518