The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank
Open accessAbstract
Background: Understanding of the role of ethnicity and socioeconomic position in the risk of developing SARS-CoV-2 infection is limited. We investigated this in the UK Biobank study. Methods: The UK Biobank study recruited 40–70-year-olds in 2006–2010 from the general population, collecting information about self-defined ethnicity and socioeconomic variables (including area-level socioeconomic deprivation and educational attainment). SARS-CoV-2 test results from Public Health England were linked to baseline UK Biobank data. Poisson regression with robust standard errors was used to assess risk ratios (RRs) between the exposures and dichotomous variables for being tested, having a positive test and testing positive in hospital. We also investigated whether ethnicity and socioeconomic position were associated with having a positive test amongst those tested. We adjusted for covariates including age, sex, social variables (including healthcare work and household size), behavioural risk factors and baseline health. Results: Amongst 392,116 participants in England, 2658 had been tested for SARS-CoV-2 and 948 tested positive (726 in hospital) between 16 March and 3 May 2020. Black and south Asian groups were more likely to test positive (RR 3.35 (95% CI 2.48–4.53) and RR 2.42 (95% CI 1.75–3.36) respectively), with Pakistani ethnicity at highest risk within the south Asian group (RR 3.24 (95% CI 1.73–6.07)). These ethnic groups were more likely to be hospital cases compared to the white British. Adjustment for baseline health and behavioural risk factors led to little change, with only modest attenuation when accounting for socioeconomic variables. Socioeconomic deprivation and having no qualifications were consistently associated with a higher risk of confirmed infection (RR 2.19 for most deprived quartile vs least (95% CI 1.80–2.66) and RR 2.00 for no qualifications vs degree (95% CI 1.66–2.42)). Conclusions: Some minority ethnic groups have a higher risk of confirmed SARS-CoV-2 infection in the UK Biobank study, which was not accounted for by differences in socioeconomic conditions, baseline self-reported health or behavioural risk factors. An urgent response to addressing these elevated risks is required.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
Self-citationA Modified Poisson Regression Approach to Prospective Studies with Binary Data
Zou, G. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh090 · Cited by 9,615
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249
Townsend, P. (1987) · Journal of Social Policy · doi:10.1017/s0047279400020341 · Cited by 1,294
Mitigating the wider health effects of covid-19 pandemic response
Douglas, M., Katikireddi, S. V., Taulbut, M., McKee, M., & McCartney, G. (2020) · BMJ · doi:10.1136/bmj.m1557 · Cited by 1,105
Self-citationStandard occupational classification
Surveys (1990) · HMSO eBooks · Cited by 957
The UCL–Lancet Commission on Migration and Health: the health of a world on the move
Abubakar, I., Aldridge, R. W., Devakumar, D., Orcutt, M., Burns, R., Barreto, M. L., Dhavan, P., Fouad, F. M., Groce, N., Guo, Y., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32114-7 · Cited by 941
Aldridge, R. W., Story, A., Hwang, S. W., Nordentoft, M., Luchenski, S. A., Hartwell, G., Tweed, E. J., Lewer, D., Vittal Katikireddi, S., & Hayward, A. C. (2018) · The Lancet · doi:10.1016/s0140-6736(17)31869-x · Cited by 905
Self-citationDemographic science aids in understanding the spread and fatality rates of COVID-19
Dowd, J. B., Andriano, L., Brazel, D. M., Rotondi, V., Block, P., Ding, X., Liu, Y., & Mills, M. C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004911117 · Cited by 905
Cited by
Talic, S., Shah, S., Wild, H., Gasevic, D., Maharaj, A., Ademi, Z., Li, X., Xu, W., Mesa-Eguiagaray, I., Rostron, J., et al. (2021) · BMJ · doi:10.1136/bmj-2021-068302 · Cited by 787
Simons, D., Shahab, L., Brown, J., & Perski, O. (2021) · Addiction · doi:10.1111/add.15276 · Cited by 371
COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities
McGowan, V. J., & Bambra, C. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(22)00223-7 · Cited by 292
Sundaram, M. E., Calzavara, A., Mishra, S., Kustra, R., Chan, A. K., Hamilton, M. A., Djebli, M., Rosella, L. C., Watson, T., Chen, H., et al. (2021) · Canadian Medical Association Journal · doi:10.1503/cmaj.202608 · Cited by 118
Metadata
- Authors
- Niedzwiedz, C. L., O’Donnell, C. A., Jani, B. D., Demou, E., Ho, F. K., Celis-Morales, C., Nicholl, B. I., Mair, F. S., Welsh, P., Sattar, N., Pell, J. P., & Katikireddi, S. V.
- Venue
- BMC Medicine
- Published
- 2020-05-29
- Volume
- 18
- Issue
- 1
- Pages
- 160-160
- ISSN
- 1741-7015 (ISSN-L)
- OpenAlex
- W3031193631
- Cited by
- 403
- References
- 35
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank. https://app.cochat.ai/papers/10.1186/s12916-020-01640-8
- The paper
- Niedzwiedz, C. L., O’Donnell, C. A., Jani, B. D., Demou, E., Ho, F. K., Celis-Morales, C., Nicholl, B. I., Mair, F. S., Welsh, P., Sattar, N., Pell, J. P., & Katikireddi, S. V. (2020). Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank. BMC Medicine. https://doi.org/10.1186/s12916-020-01640-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.