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10.1093/pubmed/fdaa136

http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa136
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32776102!7454748!32776102
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suck abstract from ncbi


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pmid32776102      J+Public+Health+(Oxf) 2020 ; 42 (4): 698-703
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  • Impact of COVID-19 outbreak by income: hitting hardest the most deprived #MMPMID32776102
  • Baena-Diez JM; Barroso M; Cordeiro-Coelho SI; Diaz JL; Grau M
  • J Public Health (Oxf) 2020[Nov]; 42 (4): 698-703 PMID32776102show ga
  • BACKGROUND: The impact of the 2019 coronavirus disease (COVID-19) has many facets. This ecological study analysed age-standardized incidence rates by economic level in Barcelona. METHODS: We evaluated confirmed cases of COVID-19 in Barcelona (Spain) between 26 February 2020 and 19 April 2020. Districts were classified according to most recent (2017) mean income data. The reference for estimating age-standardized cumulative incidence rates was the 2018 European population. The association between incidence rate and mean income by district was estimated with the Spearman rho. RESULTS: The lower the mean income, the higher the COVID-19 incidence (Spearman rho = 0.83; P value = 0.003). Districts with the lowest mean income had the highest incidence of COVID-19 per 10 000 inhabitants; in contrast, those with the highest income had the lowest incidence. Specifically, the district with the lowest income had 2.5 times greater incidence of the disease, compared with the highest-income district [70 (95% confidence interval 66-73) versus 28 (25-31), respectively]. CONCLUSIONS: The incidence of COVID-19 showed an inverse socioeconomic gradient by mean income in the 10 districts of the city of Barcelona. Beyond healthcare for people with the disease, attention must focus on a health strategy for the whole population, particularly in the most deprived areas.
  • |*Social Class[MESH]
  • |COVID-19/*economics/*epidemiology[MESH]
  • |Disease Outbreaks/*economics[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Income/*statistics & numerical data[MESH]
  • |Male[MESH]
  • |Pandemics/*economics[MESH]
  • |Poverty Areas[MESH]
  • |SARS-CoV-2[MESH]


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