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

Objective 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.Design Analysis of the longitudinal COVID-19 Infection Survey.Setting COVID-19 Infection Survey, conducted by the Office for Nati...

Full description

Saved in:
Bibliographic Details
Main Authors: Martin White, Manish Pareek, Eva J A Morris, Hajira Dambha-Miller, Ben Lacey, Tom Yates, Cameron Razieh, Yogini Chudasama
Format: Article
Language:English
Published: BMJ Publishing Group 2024-08-01
Series:BMJ Medicine
Online Access:https://bmjmedicine.bmj.com/content/3/1/e000624.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846101810203328512
author Martin White
Manish Pareek
Eva J A Morris
Hajira Dambha-Miller
Ben Lacey
Tom Yates
Cameron Razieh
Yogini Chudasama
author_facet Martin White
Manish Pareek
Eva J A Morris
Hajira Dambha-Miller
Ben Lacey
Tom Yates
Cameron Razieh
Yogini Chudasama
author_sort Martin White
collection DOAJ
description Objective 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.Design Analysis of the longitudinal COVID-19 Infection Survey.Setting 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.Participants 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.Main outcome measures 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).Results 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.Conclusion 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.
format Article
id doaj-art-f2146cea4b794035b48c91b159b2dd23
institution Kabale University
issn 2754-0413
language English
publishDate 2024-08-01
publisher BMJ Publishing Group
record_format Article
series BMJ Medicine
spelling doaj-art-f2146cea4b794035b48c91b159b2dd232024-12-28T16:20:09ZengBMJ Publishing GroupBMJ Medicine2754-04132024-08-013110.1136/bmjmed-2023-000624Socioeconomic 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 SurveyMartin White0Manish Pareek1Eva J A Morris2Hajira Dambha-Miller3Ben Lacey4Tom Yates5Cameron Razieh6Yogini Chudasama7MRC Epidemiology Unit, University of Cambridge, Cambridge, UKDevelopment Centre for Population Health, University of Leicester, Leicester, UKNuffield Department of Population Health, University of Oxford, Oxford, UKPrimary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, UKClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UKDiabetes Research Centre, University of Leicester, Leicester, UKDiabetes Research Centre, University of Leicester, Leicester, UKDiabetes Research Centre, University of Leicester, Leicester, UKObjective 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.Design Analysis of the longitudinal COVID-19 Infection Survey.Setting 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.Participants 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.Main outcome measures 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).Results 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.Conclusion 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.https://bmjmedicine.bmj.com/content/3/1/e000624.full
spellingShingle Martin White
Manish Pareek
Eva J A Morris
Hajira Dambha-Miller
Ben Lacey
Tom Yates
Cameron Razieh
Yogini Chudasama
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
BMJ Medicine
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
url https://bmjmedicine.bmj.com/content/3/1/e000624.full
work_keys_str_mv AT martinwhite socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT manishpareek socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT evajamorris socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT hajiradambhamiller socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT benlacey socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT tomyates socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT cameronrazieh socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey
AT yoginichudasama socioeconomicinequalitiesinriskofinfectionwithsarscov2deltaandomicronvariantsintheuk202022analysisofthelongitudinalcovid19infectionsurvey