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韩国不同疫情阶段新冠疫情发病率中的社会经济不平等现象。

Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea.

作者信息

Yoo Dae-Sung, Hwang Minji, Chun Byung Chul, Kim Su Jin, Son Mia, Seo Nam-Kyu, Ki Myung

机构信息

Department of Public Health, Korea University Graduate School, Seoul, South Korea.

Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon, South Korea.

出版信息

Front Med (Lausanne). 2022 Mar 8;9:840685. doi: 10.3389/fmed.2022.840685. eCollection 2022.

Abstract

OBJECTIVE

Area-level socioeconomic status (SES) is associated with coronavirus disease 2019 (COVID-19) incidence. However, the underlying mechanism of the association is context-specific, and the choice of measure is still important. We aimed to evaluate the socioeconomic gradient regarding COVID-19 incidence in Korea based on several area-level SES measures.

METHODS

COVID-19 incidence and area-level SES measures across 229 Korean municipalities were derived from various administrative regional data collected between 2015 and 2020. The Bayesian negative binomial model with a spatial autocorrelation term was used to estimate the incidence rate ratio (IRR) and relative index of inequality (RII) of each SES factor, with adjustment for covariates. The magnitude of association was compared between two epidemic phases: a low phase (<100 daily cases, from May 6 to August 14, 2020) and a rebound phase (>100 daily cases, from August 15 to December 31, 2020).

RESULTS

Area-level socioeconomic inequalities in COVID-19 incidence between the most disadvantaged region and the least disadvantaged region were observed for nonemployment rates [RII = 1.40, 95% credible interval (Crl) = 1.01-1.95] and basic livelihood security recipients (RII = 2.66, 95% Crl = 1.12-5.97), but were not observed for other measures in the low phase. However, the magnitude of the inequalities of these SES variables diminished in the rebound phase. A higher area-level mobility showed a higher risk of COVID-19 incidence in both the low (IRR = 1.67, 95% Crl = 1.26-2.17) and rebound phases (IRR = 1.28, 95% Crl = 1.14-1.44). When SES and mobility measures were simultaneously adjusted, the association of SES with COVID-19 incidence remained significant but only in the low phase, indicating they were mutually independent in the low phase.

CONCLUSION

The level of basic livelihood benefit recipients and nonemployment rate showed social stratification of COVID-19 incidence in Korea. Explanation of area-level inequalities in COVID-19 incidence may not be derived only from mobility differences in Korea but, instead, from the country's own context.

摘要

目的

地区层面的社会经济地位(SES)与2019冠状病毒病(COVID-19)发病率相关。然而,这种关联的潜在机制因具体情况而异,测量方法的选择仍然很重要。我们旨在基于几种地区层面的SES测量方法,评估韩国COVID-19发病率的社会经济梯度。

方法

韩国229个市的COVID-19发病率和地区层面的SES测量数据来自2015年至2020年收集的各种行政区数据。使用带有空间自相关项的贝叶斯负二项模型,在对协变量进行调整的情况下,估计每个SES因素的发病率比(IRR)和不平等相对指数(RII)。比较两个疫情阶段之间的关联程度:低发阶段(每日病例数<100例,2020年5月6日至8月14日)和反弹阶段(每日病例数>100例,2020年8月15日至12月31日)。

结果

在低发阶段,未就业比率[RII = 1.40,95%可信区间(Crl)= 1.01 - 1.95]和基本生活保障受助者(RII = 2.66,95% Crl = 1.12 - 5.97)显示出最贫困地区和最不贫困地区之间在COVID-19发病率方面存在地区层面的社会经济不平等,但其他测量指标未显示出这种不平等。然而,在反弹阶段,这些SES变量的不平等程度有所降低。地区层面的流动性越高,在低发阶段(IRR = 1.67,95% Crl = 1.26 - 2.17)和反弹阶段(IRR = 1.28,95% Crl = 1.14 - 1.44)COVID-19发病风险越高。当同时调整SES和流动性测量指标时,SES与COVID-19发病率的关联仍然显著,但仅在低发阶段显著,这表明它们在低发阶段相互独立。

结论

基本生活保障受助者水平和未就业比率显示出韩国COVID-19发病率的社会分层。韩国COVID-19发病率的地区层面不平等现象的解释可能不仅仅源于流动性差异,而是源于该国自身的具体情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/249f/8957264/6a124c20550c/fmed-09-840685-g0001.jpg

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