دورية أكاديمية
Impact of COVID-19 outbreak by income: hitting hardest the most deprived.
| العنوان: | Impact of COVID-19 outbreak by income: hitting hardest the most deprived. |
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| المؤلفون: | Baena-Díez JM; Primary Care Centre La Marina, Catalan Institute of Health, Barcelona, E-08038, Spain.; IDIAP Jordi Gol, Catalan Institute of Health, Barcelona, E-08007, Spain.; Cardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain., Barroso M; Cardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.; Eastfield Health, Ashburton, NZ-7700, New Zealand., Cordeiro-Coelho SI; Primary Care Centre La Marina, Catalan Institute of Health, Barcelona, E-08038, Spain., Díaz JL; Cardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.; Docent Unit Preventive Medicine and Public Health Parc de Salut Mar, Barcelona Public Health Agency - Pompeu-Fabra University, Barcelona, E-08003, Spain., Grau M; Cardiovascular Epidemiology and Genetics, IMIM - Hospital del Mar Medical Research Institute, Barcelona, E-08003, Spain.; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona, E-08003, Spain.; Department of Medicine, University of Barcelona, Barcelona, E-08036 , Spain. |
| المصدر: | Journal of public health (Oxford, England) [J Public Health (Oxf)] 2020 Nov 23; Vol. 42 (4), pp. 698-703. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101188638 Publication Model: Print Cited Medium: Internet ISSN: 1741-3850 (Electronic) Linking ISSN: 17413842 NLM ISO Abbreviation: J Public Health (Oxf) Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Oxford, UK : Oxford University Press, c2004- |
| مواضيع طبية MeSH: | Social Class*, COVID-19/*economics , COVID-19/*epidemiology , Disease Outbreaks/*economics , Income/*statistics & numerical data , Pandemics/*economics, Female ; Humans ; Incidence ; Male ; Poverty Areas ; SARS-CoV-2 ; Spain/epidemiology |
| مستخلص: | 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. (© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.) |
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| فهرسة مساهمة: | Keywords: COVID-19; coronavirus infections; epidemiology; healthcare disparities; socioeconomic factors |
| تواريخ الأحداث: | Date Created: 20200811 Date Completed: 20210101 Latest Revision: 20210110 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC7454748 |
| DOI: | 10.1093/pubmed/fdaa136 |
| PMID: | 32776102 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1741-3850 |
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| DOI: | 10.1093/pubmed/fdaa136 |