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

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....

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Detalles Bibliográficos
Autores principales: Teherán, Aníbal A., Camero Ramos, Gabriel, Prado de la Guardia, Ronald, Hernández, Carolina, Herrera, Giovanny, Pombo, Luis M, Avila, Albert Alejandro, Flórez, Carolina, Barros, Esther C, Perez-Garcia, Luis, Paniz-Mondolfi, Alberto, Ramírez, Juan David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722836/
https://www.ncbi.nlm.nih.gov/pubmed/33293326
http://dx.doi.org/10.1136/bmjopen-2020-042122
Descripción
Sumario: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.