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10.1136/bmjopen-2020-042122 http://scihub22266oqcxt.onion/10.1136/bmjopen-2020-042122 33293326!7722836!33293326     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMJ+Open 2020 ; 10 (12): e042122 Nephropedia Template TP {{tp|p=33293326|t=2020. Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study |pdf=|usr=}}{{33293326}} gab.com Text Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study JO: BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=33293326 #FOAvip 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. Twit Text FOAVip Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study ????BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=33293326 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33293326 #FOAvip English Wikipedia <ref>{{Cite pmid|33293326}}</ref> Epidemiological characterisation of asymptomatic carriers of COVID-19 in Colombia: a cross-sectional study #MMPMID33293326 Teheran AA; Camero Ramos G; Prado de la Guardia R; Hernandez C; Herrera G; Pombo LM; Avila AA; Florez C; Barros EC; Perez-Garcia L; Paniz-Mondolfi A; Ramirez JD BMJ Open 2020[Dec]; 10 (12): e042122 PMID33293326show ga 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 |Adult[MESH] |COVID-19/diagnosis/*epidemiology/transmission[MESH] |Carrier State/diagnosis/*epidemiology/transmission[MESH] |Colombia[MESH] |Cross-Sectional Studies[MESH] |Databases, Factual[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH]Epidemiological characterisation of asymptomatic carriers of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing