{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9"],"submitter":["Yoo DS"],"funding":["Korea Health Industry Development Institute"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Methods</h4>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 wa"],"journal":["Frontiers in medicine"],"pagination":["840685"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8957264"],"repository":["biostudies-literature"],"pubmed_title":["Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea."],"pmcid":["PMC8957264"],"pubmed_authors":["Hwang M","Seo NK","Yoo DS","Ki M","Son M","Kim SJ","Chun BC"],"additional_accession":[]},"is_claimable":false,"name":"Socioeconomic Inequalities in COVID-19 Incidence During Different Epidemic Phases in South Korea.","description":"<h4>Objective</h4>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.<h4>Methods</h4>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 wa","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-03T21:30:10.51Z","creation":"2025-04-03T21:30:10.51Z"},"accession":"S-EPMC8957264","cross_references":{"pubmed":["35345769"],"doi":["10.3389/fmed.2022.840685"]}}