Epidemiological characterization of asymptomatic carriers of COVID-19 in Colombia
ABSTRACT 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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Preprint| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
bioRxiv.org - (2024) vom: 23. Apr. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Teherán, Aníbal A. [VerfasserIn] |
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| doi: |
10.1101/2020.06.18.20134734 |
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| PPN (Katalog-ID): |
XBI018181325 |
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| 520 | |a ABSTRACT 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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| 700 | 1 | |a de la Guardia, Ronald Prado |e verfasserin |4 aut | |
| 700 | 1 | |a Hernández, Carolina |e verfasserin |4 aut | |
| 700 | 1 | |a Herrera, Giovanny |e verfasserin |4 aut | |
| 700 | 1 | |a Pombo, Luis M. |e verfasserin |4 aut | |
| 700 | 1 | |a Ávila, Albert A. |e verfasserin |4 aut | |
| 700 | 1 | |a Flórez, Carolina |e verfasserin |4 aut | |
| 700 | 1 | |a Barros, Esther C. |e verfasserin |4 aut | |
| 700 | 1 | |a Perez-Garcia, Luis A. |e verfasserin |4 aut | |
| 700 | 1 | |a Paniz-Mondolfi, Alberto |e verfasserin |0 (orcid)0000-0003-1259-1736 |4 aut | |
| 700 | 1 | |a Ramírez, Juan David |e verfasserin |0 (orcid)0000-0002-1344-9312 |4 aut | |
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