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
Affiliations
Aníbal A. Teherán
Grupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia
Gabriel Camero Ramos
Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia
Ronald Prado de la Guardia
Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia
Carolina Hernández
Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
Giovanny Herrera
Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
Luis M Pombo
Grupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia
Albert Alejandro Avila
Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia
Carolina Flórez
Instituto Nacional de Salud, Bogotá, Colombia
Esther C Barros
Instituto Nacional de Salud, Bogotá, Colombia
Luis Perez-Garcia
Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
Alberto Paniz-Mondolfi
Icahn School of Medicine at Mount Sinai, New York, New York, USA
Juan David Ramírez
Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
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.