The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Covid-19: risk factors for severe disease and death
Open accessAbstract
A long list is emerging from largely unadjusted analyses, with age near the top
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“Approximately 70% of COVID‐19 deaths are reported to occur from ARDS with age being one of the most significant risk factors (Hojyo et al, 2020; Jordan et al, 2020).”
From The struggle of a good friend getting old: cellular senescence in viral responses and therapy (2021) · cites this paper as Jordan et al, 2020
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Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
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
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Epidemiology of COVID-19 Among Children in China
Dong, Y., Mo, X., Hu, Y., Qi, X., Jiang, F., Jiang, Z., & Tong, S. (2020) · PEDIATRICS · doi:10.1542/peds.2020-0702 · Cited by 4,240
Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Ji, R., Wang, H., Wang, Y., & Zhou, Y. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.017 · Cited by 4,206
Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
Chen, T., Wu, D., Chen, H., Yan, W., Yang, D., Chen, G., Ma, K., Xu, D., Yu, H., Wang, H., et al. (2020) · BMJ · doi:10.1136/bmj.m1091 · Cited by 3,903
Ferguson, N. M., Laydon, D. J., Nedjati-Gilani, G. L., Imai, N., Ainslie, K. E. C., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunubá, Z. M., Cuomo-Dannenburg, G., et al. (2020) · Spiral (Imperial College London) · doi:10.25561/77482 · Cited by 3,619
Clinical characteristics of 2019 novel coronavirus infection in ChinaPreprint
Guan, W., Ni, Z., Hu, Y., et al. (2020) · medRxiv · doi:10.1101/2020.02.06.20020974 · Cited by 1,485
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Vaccine hesitancy: the next challenge in the fight against COVID-19
Dror, A. A., Eisenbach, N., Taiber, S., Morozov, N. G., Mizrachi, M., Zigron, A., Srouji, S., & Sela, E. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00671-y · Cited by 1,717
Acute kidney injury in patients hospitalized with COVID-19
Hirsch, J. S., Ng, J. H., Ross, D. W., Sharma, P., Shah, H. H., Barnett, R. L., Hazzan, A. D., Fishbane, S., Jhaveri, K. D., Abate, M., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.05.006 · Cited by 1,523
Tenforde, M. W., Kim, S. S., Lindsell, C. J., Billig Rose, E., Shapiro, N. I., Files, D. C., Gibbs, K. W., Erickson, H. L., Steingrub, J. S., Smithline, H. A., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6930e1 · Cited by 1,319
Bourgonje, A. R., Abdulle, A. E., Timens, W., Hillebrands, J., Navis, G. J., Gordijn, S. J., Bolling, M. C., Dijkstra, G. D. H., Voors, A. A., Osterhaus, A. D. M. E., et al. (2020) · The Journal of Pathology · doi:10.1002/path.5471 · Cited by 1,160
Codo, A. C., Davanzo, G. G., Monteiro, L. D. B., de Souza, G. F., Muraro, S. P., Virgilio-da-Silva, J. V., Prodonoff, J. S., Carregari, V. C., de Biagi Junior, C. A. O., Crunfli, F., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.07.007 · Cited by 733
Metadata
- Authors
- Jordan, R. E., Adab, P., & Cheng, K. K.
- Affiliations
- University of Birmingham (GB)
- Corresponding author
- Jordan, Rachel E
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2020-03-26
- Volume
- 368
- Pages
- m1198
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W3012690941
- Cited by
- 1,653
- References
- 16
- Citations by year
- 2026: 19 · 2025: 44 · 2024: 78 · 2023: 166 · 2022: 336 · 2021: 552 · 2020: 456
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, risk factors, severe illness, mortality, age
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Retrospective Studies, Risk Factors, Coronavirus, Coronavirus Infections, Pandemics
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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.
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