The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Racism and discrimination in COVID-19 responses
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Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Blaha, M. J., Dai, S., Ford, E. S., Fox, C. S., Franco, S., et al. (2014) · Circulation · doi:10.1161/01.cir.0000442015.53336.12 · Cited by 1,408
Historical linkages: epidemic threat, economic risk, and xenophobia
White, A. I. R. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30737-6 · Cited by 192
Anti-Chinese sentiment during the 2019-nCoV outbreak
Chung, R. Y.-N., & Li, M. M. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30358-5 · Cited by 108
Diabetes in South Asians: Phenotype, Clinical Presentation, and Natural History
Ranjit Unnikrishnan, I., Gupta, P. K., & Mohan, V. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1002-8 · Cited by 83
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Ibn-Mohammed, T., Mustapha, K. B., Godsell, J., Adamu, Z. A., Babatunde, K. A., Akintade, D. D., Acquaye, A. A., Fujii, H., Ndiaye, M., Yamoah, F. A., et al. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105169 · Cited by 974
The Lancet Commission on lessons for the future from the COVID-19 pandemic
Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842
Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis
Sze, S., Pan, D., Nevill, C. R., Gray, L. J., Martin, C., Nazareth, J., Minhas, J. S., Divall, P., Khunti, K., Abrams, K. R., et al. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100630 · Cited by 643
Emotional, Behavioral, and Psychological Impact of the COVID-19 Pandemic
Pedrosa, A. L., Bitencourt, L., Fróes, A. C. F., Cazumbá, M. L. B., Campos, R. G. B., de Brito, S. B. C. S., & Silva, A. C. S. E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.566212 · Cited by 632
Membership Inference Attacks on Machine Learning: A Survey
Hu, H., Salcic, Z. A., Sun, L., Dobbie, G., Yu, P. S., & Zhang, X. (2022) · ACM Computing Surveys · doi:10.1145/3523273 · Cited by 662
“For instance, in the scenario where multiple hospitals jointly train an FL model for the COVID-19 diagnosis, MIAs can only reveal who have been tested for COVID-19, but the further identification of the source hospital where the people are from will make them more prone to discrimination, especially when the hospital…”
Background
Metadata
- Authors
- Devakumar, D., Shannon, G., Bhopal, S. S., & Abubakar, I.
- Affiliations
- University College London (GB)
- Northumbria Healthcare NHS Foundation Trust (GB)
- Corresponding author
- Devakumar, Delan
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 395
- Issue
- 10231
- Pages
- 1194
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7146645
- OpenAlex
- W3013435976
- Cited by
- 570
- References
- 4
- Citations by year
- 2026: 11 · 2025: 33 · 2024: 53 · 2023: 73 · 2022: 113 · 2021: 155 · 2020: 132
- FWCI
- 158.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- National Institute for Health and Care Research (CL-2022-01-003)
- Topics
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Challenges
- Social Sciences › Law › Migration, Racism, and Human Rights
- Keywords
- COVID-19 pandemic, racism, discrimination, xenophobia, fear, racialized communities, marginalised groups, public health response
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Coronavirus Infections, Pandemics, Racism, Social Discrimination
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