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Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study.
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.
  • Teherán AA; Grupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia.
  • Camero Ramos G; Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
  • Prado de la Guardia R; Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
  • Hernández C; Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
  • Herrera G; Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
  • Pombo LM; Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
  • Avila AA; Grupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia.
  • Flórez C; Cruz Roja Colombiana Seccional Cundinamarca-Bogotá, Bogota, Colombia.
  • Barros EC; Hospital Simon Bolívar, Bogotá, Colombia.
  • Perez-Garcia L; Instituto Nacional de Salud, Bogotá, Colombia.
  • Paniz-Mondolfi A; Instituto Nacional de Salud, Bogotá, Colombia.
  • Ramírez JD; Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
BMJ Open ; 10(12): e042122, 2020 12 07.
Article in English | MEDLINE | ID: covidwho-962849
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carrier State / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: South America / Colombia Language: English Journal: BMJ Open Year: 2020 Document Type: Article Affiliation country: Bmjopen-2020-042122

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Carrier State / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: South America / Colombia Language: English Journal: BMJ Open Year: 2020 Document Type: Article Affiliation country: Bmjopen-2020-042122