Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea
DC Field | Value | Language |
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dc.contributor.author | Yoo, Dae-sung | - |
dc.contributor.author | Hwang, Minji | - |
dc.contributor.author | Chun, Byung Chul | - |
dc.contributor.author | Kim, Su Jin | - |
dc.contributor.author | Son, Mia | - |
dc.contributor.author | Seo, Nam-Kyu | - |
dc.contributor.author | Ki, Myung | - |
dc.date.accessioned | 2022-05-03T05:42:39Z | - |
dc.date.available | 2022-05-03T05:42:39Z | - |
dc.date.created | 2022-05-03 | - |
dc.date.issued | 2022-03-08 | - |
dc.identifier.issn | 2296-858X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/140663 | - |
dc.description.abstract | ObjectiveArea-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. MethodsCOVID-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). ResultsArea-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. ConclusionThe 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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.subject | RELATIVE INDEX | - |
dc.subject | FRAMEWORK | - |
dc.title | Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chun, Byung Chul | - |
dc.identifier.doi | 10.3389/fmed.2022.840685 | - |
dc.identifier.scopusid | 2-s2.0-85127307847 | - |
dc.identifier.wosid | 000774813100001 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN MEDICINE, v.9 | - |
dc.relation.isPartOf | FRONTIERS IN MEDICINE | - |
dc.citation.title | FRONTIERS IN MEDICINE | - |
dc.citation.volume | 9 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | General & Internal Medicine | - |
dc.relation.journalWebOfScienceCategory | Medicine, General & Internal | - |
dc.subject.keywordPlus | RELATIVE INDEX | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | inequality | - |
dc.subject.keywordAuthor | mobility | - |
dc.subject.keywordAuthor | SARS-CoV2 | - |
dc.subject.keywordAuthor | social distancing | - |
dc.subject.keywordAuthor | socioeconomic | - |
dc.subject.keywordAuthor | spatial analyses | - |
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