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Epidemiological characteristics and outcomes of COVID-19 cases: mortality inequalities by socio-economic status, Barcelona, Spain, 24 February to 4 May 2020.
Politi, Julieta; Martín-Sánchez, Mario; Mercuriali, Lilas; Borras-Bermejo, Blanca; Lopez-Contreras, Joaquín; Vilella, Anna; Villar, Judit; Orcau, Angels; de Olalla, Patricia Garcia; Rius, Cristina.
  • Politi J; Epidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
  • Martín-Sánchez M; Preventive Medicine and Public Health Training Unit, PSMar-UPF-PHAB (Parc de Salut Mar - Pompeu Fabra University - Public Health Agency of Barcelona), Barcelona, Spain.
  • Mercuriali L; Epidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
  • Borras-Bermejo B; Preventive Medicine and Public Health Training Unit, PSMar-UPF-PHAB (Parc de Salut Mar - Pompeu Fabra University - Public Health Agency of Barcelona), Barcelona, Spain.
  • Lopez-Contreras J; Epidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
  • Vilella A; Department of Preventive Medicine and Epidemiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Villar J; Infectious Diseases-Internal Medicine, Hospital de Sant Pau-Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Orcau A; Service of Infectious Diseases, Hospital del Mar, Barcelona, Spain.
  • de Olalla PG; Members are listed under Investigators.
  • Rius C; Epidemiology Service, Public Health Agency of Barcelona (PHAB), Barcelona, Spain.
Euro Surveill ; 26(20)2021 05.
Article in English | MEDLINE | ID: covidwho-1273317
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: 1560-7917.ES.2021.26.20.2001138

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: 1560-7917.ES.2021.26.20.2001138