Selected article for: "acute respiratory syndrome sars and logistic regression analysis"

Author: Teheran, Anibal A; Camero, Gabriel; Guardia, Ronald Prado de la; Hernandez, Carolina; Herrera, Giovanny; Pombo, Luis M; Avila, Albert; Florez, Carolina; Barros, Esther C; Garcia, Luis Perez; Mondolfi, Alberto Paniz; Ramirez, Juan David
Title: Epidemiological characterization of asymptomatic carriers of COVID-19 in Colombia
  • Cord-id: 4oet4pa5
  • Document date: 2020_6_20
  • ID: 4oet4pa5
    Snippet: Objective: Asymptomatic carriers (AC) of the new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) represent an important source of spread for Coronavirus Disease 2019 (COVID-19). Early diagnosis of these cases is a powerful tool to control the pandemic. Our objective was to characterize 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 characterized both socia
    Document: Objective: Asymptomatic carriers (AC) of the new Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) represent an important source of spread for Coronavirus Disease 2019 (COVID-19). Early diagnosis of these cases is a powerful tool to control the pandemic. Our objective was to characterize 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 characterized 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: 2338 ACs (11.8%; 95% CI, 11.3-12.2%) were identified, mainly in epidemiological week 18 [EW] (3.98; 3.24-4.90). Age [≤]39 years (1.56; 1.42-1.72). Male sex (1.39; 1.26-1.53), cases imported from Argentina, Spain, Peru, Brazil, Costa Rica or Mexico (3.37; 1.47-7.71) and autochthonous cases (4.35 ; 2.12-8.93) increased the risk of identifying AC. We also identified groups of departments with moderate (3.68; 3.13-4.33) and strong (8.31; 6.10-7.46) association with AC. Discussion: Sociodemographic characteristics strongly associated with AC were identified, which may explain its epidemiological relevance and usefulness to optimize mass screening strategies and prevent person-to-person transmission.

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