Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns.
Socioeconomic Inequalities in COVID-19 in a European Urban Area: Two Waves, Two Patterns.
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DOI：
10.3390/ijerph18031256
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发表时间：
2021-01-30
影响因子：
--
通讯作者：
Borrell C
中科院分区：
文献类型：
--
作者：
Marí-Dell'Olmo M;Gotsens M;Pasarín MI;Rodríguez-Sanz M;Artazcoz L;Garcia de Olalla P;Rius C;Borrell C
背景：本文的目的是分析巴塞罗那在前两波大流行期间按年龄、性别、地理区域和收入分层的COVID-19发病率的社会不平等现象。方法：我们收集了巴塞罗那前两波大流行（2020年3月1日至7月15日和7月16日至11月30日）期间经实验室检测确诊的COVID-19病例的数据。对于每个波浪和性别，我们使用分层贝叶斯模型计算了普查区的平滑累积发病率。我们分析了COVID-19发病率的收入不平等，并根据收入指标将人口普查区划分为五分位数。结果：在这两波中，女性在64岁以下的COVID-19累积发病率较高，而在该阈值之后趋势逆转。在一些贫困社区，这种疾病的发病率较高。与最富有的人群相比，最贫穷人群的风险比（RR）增加了，主要是在第二波，男性收入第五分位数的RR为1.67(95%可信区间-CI- 1.41-1.96)，女性为1.71（95%可信区间-CI: 1.44-1.99）。结论：我们的研究结果表明，在南欧城市地区，COVID-19的发病率存在不平等。
Background: The objective of this paper is to analyze social inequalities in COVID-19 incidence, stratified by age, sex, geographical area, and income in Barcelona during the first two waves of the pandemic. Methods: We collected data on COVID-19 cases confirmed by laboratory tests during the first two waves of the pandemic (1 March to 15 July and 16 July to 30 November, 2020) in Barcelona. For each wave and sex, we calculated smooth cumulative incidence by census tract using a hierarchical Bayesian model. We analyzed income inequalities in the incidence of COVID-19, categorizing the census tracts into quintiles based on the income indicator. Results: During the two waves, women showed higher COVID-19 cumulative incidence under 64 years, while the trend was reversed after that threshold. The incidence of the disease was higher in some poor neighborhoods. The risk ratio (RR) increased in the poorest groups compared to the richest ones, mainly in the second wave, with RR being 1.67 (95% Credible Interval-CI-: 1.41–1.96) in the fifth quintile income group for men and 1.71 (95% CI: 1.44–1.99) for women. Conclusion: Our results indicate the existence of inequalities in the incidence of COVID-19 in an urban area of Southern Europe.
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