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Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: A cross-sectional study

  • Aníbal A. Teherán
  • , Gabriel Camero Ramos
  • , Ronald Prado De La Guardia
  • , Carolina Hernández
  • , Giovanny Herrera
  • , Luis M. Pombo
  • , Albert Alejandro Avila
  • , Carolina Flórez
  • , Esther C. Barros
  • , Luis Perez-Garcia
  • , Alberto Paniz-Mondolfi
  • , Juan David Ramírez

Research output: Contribution to JournalResearch Articlepeer-review

Abstract

Introduction Asymptomatic carriers (AC) of the new SARS-CoV-2 represent an important source of spread for COVID-19. Early diagnosis of these cases is a powerful tool to control the pandemic. Our objective was to characterise patients with AC status and identify associated sociodemographic factors. Methods Using a cross-sectional design and the national database of daily occurrence of COVID-19, we characterised both socially and demographically all ACs. Additional correspondence analysis and logistic regression model were performed to identify characteristics associated with AC state (OR, 95% CI). Results 76.162 ACs (12.1%; 95% CI 12.0% to 12.2%) were identified, mainly before epidemiological week 35. Age≤26 years (1.18; 1.09 to 1.28), male sex (1.51; 1.40 to 1.62), cases imported from Venezuela, Argentina, Brazil, Germany, Puerto Rico, Spain, USA or Mexico (12.6; 3.03 to 52.5) and autochthonous cases (22.6; 5.62 to 91.4) increased the risk of identifying ACs. We also identified groups of departments with moderate (1.23; 1.13 to 1.34) and strong (19.8; 18.6 to 21.0) association with ACs. Conclusion Sociodemographic characteristics strongly associated with AC were identified, which may explain its epidemiological relevance and usefulness to optimise mass screening strategies and prevent person-to-person transmission.

Translated title of the contributionCaracterización epidemiológica de los portadores asintomáticos de COVID-19 en Colombia
Original languageEnglish (US)
Article numbere042122
JournalBMJ Open
Volume10
Issue number12
DOIs
StatePublished - Dec 7 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Medicine

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