Grupo de investigación COMPLEXUS, Fundación Universitaria Juan N Corpas, Bogotá, Colombia.
Grupo de Investigaciones Microbiológicas-UR (GIMUR), Departamento de Biología, Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
BMJ Open. 2020 Dec 7;10(12):e042122. doi: 10.1136/bmjopen-2020-042122.
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.
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).
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.
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.
新型 SARS-CoV-2 的无症状携带者（AC）是 COVID-19 传播的重要来源。早期诊断这些病例是控制大流行的有力工具。我们的目的是描述具有 AC 状态的患者并确定相关的社会人口学因素。
使用横断面设计和 COVID-19 每日发生的国家数据库，我们对所有 AC 的社会和人口统计学特征进行了描述。进行了附加的对应分析和逻辑回归模型，以确定与 AC 状态相关的特征（OR，95%CI）。
确定了 76162 名 AC（12.1%；95%CI 12.0%至 12.2%），主要是在流行病学第 35 周之前。年龄≤26 岁（1.18；1.09 至 1.28）、男性（1.51；1.40 至 1.62）、从委内瑞拉、阿根廷、巴西、德国、波多黎各、西班牙、美国或墨西哥输入的病例（12.6；3.03 至 52.5）和本地病例（22.6；5.62 至 91.4）增加了识别 AC 的风险。我们还确定了与 AC 中度（1.23；1.13 至 1.34）和高度（19.8；18.6 至 21.0）相关的部门群体。
确定了与 AC 强烈相关的社会人口学特征，这可能解释了其流行病学相关性以及优化大规模筛查策略和预防人际传播的有用性。
