Socioeconomic inequalities in risk of infection with SARS-CoV-2 delta and omicron variants in the UK, 2020-22: analysis of the longitudinal COVID-19 Infection Survey

C. Razieh, S. Shabnam, H. Dambha‐Miller, Eva J A Morris, T. Yates, Y. Chudasama, F. Zaccardi, C. Gillies, Amitava Banerjee, Manish Pareek, Ben Lacey, Martin White, K. Khunti, N. Islam
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Abstract

To explore the risk of a positive test result for the delta or omicron variant of the SARS-CoV-2 virus in different occupations and deprivation groups in the UK.Analysis of the longitudinal COVID-19 Infection Survey.COVID-19 Infection Survey, conducted by the Office for National Statistics and the University of Oxford, UK, a nationwide longitudinal survey to monitor SARS-CoV-2 infection in the community, 26 April 2020 to 31 January 2022.Survey participants recruited from randomly selected households to reflect the UK population (England, Scotland, Wales, and Northern Ireland) were divided into the delta cohort (2 July 2020 to 19 December 2021) and the omicron variant (on or after 20 December 2021), the dominant variants during our study period.Incidence rate and incidence rate ratio for the presence of the delta and omicron variants by area level deprivation and occupation sector. Multivariable Poisson regression models were fitted to estimate the adjusted incidence rate ratio after adjusting for age, sex, ethnic group, comorbid conditions, urban or rural residence, household size, patient or client facing job, and time (as quarters of the year).329 356 participants were included in the delta cohort and 246 061 in the omicron cohort. The crude incidence rate for the presence of the delta and omicron variants of the SARS-CoV-2 virus were higher in the most deprived group (based on the index of multiple deprivation divided by deciles; delta cohort 4.33 per 1000 person months, 95% confidence interval 4.09 to 4.58; omicron cohort 76.67 per 1000 person months, 71.60 to 82.11) than in the least deprived group (3.18, 3.05 to 3.31 and 54.52, 51.93 to 57.24, respectively); the corresponding adjusted incidence rate ratios were 1.37 (95% confidence interval 1.29 to 1.47) and 1.34 (1.24 to 1.46) during the delta and omicron variant dominant periods, respectively. The adjusted incidence rate ratios for a positive test result in the most deprived group compared with the least deprived group in the delta cohort were 1.59 (95% confidence interval 1.25 to 2.02) and 1.50 (1.19 to 1.87) in the healthcare and manufacturing or construction sectors, respectively. Corresponding values in the omicron cohort were 1.50 (1.15 to 1.95) and 1.43 (1.09 to 1.86) in the healthcare and teaching and education sectors, respectively. Associations between SARS-CoV-2 infection and other employment sectors were not significant or were not tested because of small numbers.In this study, the risk of a positive test result for the SARS-CoV-2 virus in the delta and omicron cohorts was higher in the most deprived than in the least deprived group in the healthcare, manufacturing or construction, and teaching and education sectors.
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2020-22 年英国 SARS-CoV-2 delta 和 omicron 变体感染风险的社会经济不平等:COVID-19 感染纵向调查分析
COVID-19感染纵向调查分析.COVID-19感染调查由英国国家统计局和牛津大学共同开展,是一项监测社区SARS-CoV-2感染情况的全国性纵向调查,调查时间为2020年4月26日至2022年1月31日。从随机选择的家庭中招募的调查参与者反映了英国(英格兰、苏格兰、威尔士和北爱尔兰)的人口情况,他们被分为德尔塔队列(2020 年 7 月 2 日至 2021 年 12 月 19 日)和奥米克隆变种(2021 年 12 月 20 日或之后),这两种变种是我们研究期间的主要变种。在调整了年龄、性别、种族、合并症、城市或农村居住地、家庭规模、患者或客户面对的工作以及时间(每年的季度)之后,我们拟合了多变量泊松回归模型来估算调整后的发病率比。在最贫困人群中,SARS-CoV-2 病毒 delta 和 omicron 变体的粗发病率较高(根据多重贫困指数除以十分位数计算;delta 队列为每 1000 人月 4.33 例,95% 置信区间为 4.09 至 4.58 例;ogicron 队列为每 1000 人月 76.67 例,95% 置信区间为 4.09 至 4.58 例;ogicron 队列为每 1000 人月 71.67 例,95% 置信区间为 4.09 至 4.58 例)。与最贫困组相比(分别为 3.18、3.05 至 3.31 和 54.52、51.93 至 57.24),三角组和欧米克组变异优势期的相应调整发病率比分别为 1.37(95% 置信区间为 1.29 至 1.47)和 1.34(1.24 至 1.46)。在 delta 组群中,与最贫困组群相比,在医疗保健和制造业或建筑业中,最贫困组群与最不贫困组群检测结果呈阳性的调整后发病率比率分别为 1.59(95% 置信区间为 1.25 至 2.02)和 1.50(1.19 至 1.87)。在 omicron 队列中,医疗保健行业和教学及教育行业的相应数值分别为 1.50(1.15 至 1.95)和 1.43(1.09 至 1.86)。在这项研究中,在医疗保健业、制造业或建筑业以及教学和教育业中,delta 和 omicron 队列中最贫困人群的 SARS-CoV-2 病毒检测结果呈阳性的风险高于最不贫困人群。
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