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10.2807/1560-7917.ES.2021.26.20.2001138 http://scihub22266oqcxt.onion/10.2807/1560-7917.ES.2021.26.20.2001138 34018483!8138960!34018483     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 300.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 300.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 300.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 300.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Euro+Surveill 2021 ; 26 (20): ä Nephropedia Template TP {{tp|p=34018483|t=2021. Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020 |pdf=|usr=}}{{34018483}} gab.com Text Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020 JO: Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=34018483 #FOAvip BackgroundPopulation-based studies characterising outcomes of COVID-19 in European settings are limited, and effects of socio-economic status (SES) on outcomes have not been widely investigated. AimWe describe the epidemiological characteristics of COVID-19 cases, highlighting incidence and mortality rate differences across SES during the first wave in Barcelona, Catalonia, Spain.MethodsThis population-based study reports individual-level data of laboratory-confirmed COVID-19 cases diagnosed from 24 February to 4 May 2020, notified to the Public Health Agency of Barcelona and followed until 15 June 2020. We analysed end-of-study vital status and the effects of chronic conditions on mortality using logistic regression. Geocoded addresses were linked to basic health area SES data, estimated using the composed socio-economic index. We estimated age-standardised incidence, hospitalisation, and mortality rates by SES.ResultsOf 15,554 COVID-19-confirmed cases, the majority were women (n?= 9,028; 58%), median age was 63 years (interquartile range: 46-83), 8,046 (54%) required hospitalisation, and 2,287 (15%) cases died. Prevalence of chronic conditions varied across SES, and multiple chronic conditions increased risk of death (>/= 3, adjusted odds ratio: 2.3). Age-standardised rates (incidence, hospitalisation, mortality) were highest in the most deprived SES quartile (incidence: 1,011 (95% confidence interval (CI): 975-1,047); hospitalisation: 619 (95% CI: 591-648); mortality: 150 (95% CI: 136-165)) and lowest in the most affluent (incidence: 784 (95% CI: 759-809); hospitalisation: 400 (95% CI: 382-418); mortality: 121 (95% CI: 112-131)).ConclusionsCOVID-19 outcomes varied markedly across SES, underscoring the need to implement effective preventive strategies for vulnerable populations. Twit Text FOAVip Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020 ????Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=34018483 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34018483 #FOAvip English Wikipedia <ref>{{Cite pmid|34018483}}</ref> Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020 #MMPMID34018483 Politi J; Martin-Sanchez M; Mercuriali L; Borras-Bermejo B; Lopez-Contreras J; Vilella A; Villar J; Orcau A; de Olalla PG; Rius C Euro Surveill 2021[May]; 26 (20): ä PMID34018483show ga BackgroundPopulation-based studies characterising outcomes of COVID-19 in European settings are limited, and effects of socio-economic status (SES) on outcomes have not been widely investigated. AimWe describe the epidemiological characteristics of COVID-19 cases, highlighting incidence and mortality rate differences across SES during the first wave in Barcelona, Catalonia, Spain.MethodsThis population-based study reports individual-level data of laboratory-confirmed COVID-19 cases diagnosed from 24 February to 4 May 2020, notified to the Public Health Agency of Barcelona and followed until 15 June 2020. We analysed end-of-study vital status and the effects of chronic conditions on mortality using logistic regression. Geocoded addresses were linked to basic health area SES data, estimated using the composed socio-economic index. We estimated age-standardised incidence, hospitalisation, and mortality rates by SES.ResultsOf 15,554 COVID-19-confirmed cases, the majority were women (n?= 9,028; 58%), median age was 63 years (interquartile range: 46-83), 8,046 (54%) required hospitalisation, and 2,287 (15%) cases died. Prevalence of chronic conditions varied across SES, and multiple chronic conditions increased risk of death (>/= 3, adjusted odds ratio: 2.3). Age-standardised rates (incidence, hospitalisation, mortality) were highest in the most deprived SES quartile (incidence: 1,011 (95% confidence interval (CI): 975-1,047); hospitalisation: 619 (95% CI: 591-648); mortality: 150 (95% CI: 136-165)) and lowest in the most affluent (incidence: 784 (95% CI: 759-809); hospitalisation: 400 (95% CI: 382-418); mortality: 121 (95% CI: 112-131)).ConclusionsCOVID-19 outcomes varied markedly across SES, underscoring the need to implement effective preventive strategies for vulnerable populations. |*COVID-19[MESH] |Economic Status[MESH] |Female[MESH] |Humans[MESH] |Incidence[MESH] |Male[MESH] |Middle Aged[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH]Epidemiological characteristics and outcomes of COVID-19 cases: mortal(epmc).pdf DeepDyve Pubget Overpricing