Ontology highlight
ABSTRACT: Background
Long COVID continues to affect millions of adults and contribute to substantial economic burden across Europe. Ethnic inequalities in Long COVID, and the reasons underlying these, are poorly understood. We aimed to investigate ethnic differences in the incidence of diagnosed Long COVID in England using linked national primary care data.Methods
With approval from NHS England, we used linked health record data from England, 2020-2022, accessed through the OpenSAFELY platform. We applied Cox regression to compare incidence of diagnosed Long COVID in primary care across self-reported ethnicity in five groups. We explored potential explanations for these differences by 1) adjusting for sociodemographic and health-related factors, 2) restricting to those tested or hosp
SUBMITTER: Mallinson PA
PROVIDER: S-EPMC12906119 | biostudies-literature | 2026 Apr
REPOSITORIES: biostudies-literature