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Racial and ethnic determinants of Covid-19 risk
Chun-Han Lo; Long H. Nguyen; David A. Drew; Mark S. Graham; Erica T. Warner; Amit D. Joshi; Christina M. Astley; Chuan-Guo Guo; Wenjie Ma; Raaj S. Mehta; Sohee Kwon; Mingyang Song; Richard Davies; Joan Capdevila; Karla A. Lee; Mary Ni Lochlainn; Thomas Varsavsky; Carole H. Sudre; Jonathan Wolf; Yvette C. Cozier; Lynn Rosenberg; Lynne R. Wilkens; Christopher A. Haiman; Loic Le Marchand; Julie R. Palmer; Tim D. Spector; Sebastien Ourselin; Claire J. Steves; Andrew T. Chan; - COPE Consortium.
Afiliación
  • Chun-Han Lo; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Long H. Nguyen; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • David A. Drew; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Mark S. Graham; School of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
  • Erica T. Warner; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Amit D. Joshi; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Christina M. Astley; Computational Epidemiology Lab and Division of Endocrinology, Boston Children's Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A
  • Chuan-Guo Guo; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Wenjie Ma; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Raaj S. Mehta; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Sohee Kwon; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Mingyang Song; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • Richard Davies; Zoe Global Limited, London, U.K.
  • Joan Capdevila; Zoe Global Limited, London, U.K.
  • Karla A. Lee; Department of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
  • Mary Ni Lochlainn; Department of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
  • Thomas Varsavsky; School of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
  • Carole H. Sudre; School of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
  • Jonathan Wolf; Zoe Global Limited, London, U.K.
  • Yvette C. Cozier; Slone Epidemiology Center, Boston University, Boston, Massachusetts, U.S.A.
  • Lynn Rosenberg; Slone Epidemiology Center, Boston University, Boston, Massachusetts, U.S.A.
  • Lynne R. Wilkens; Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, U.S.A.
  • Christopher A. Haiman; Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, California, U.
  • Loic Le Marchand; Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, U.S.A.
  • Julie R. Palmer; Slone Epidemiology Center, Boston University, Boston, Massachusetts, U.S.A.
  • Tim D. Spector; Department of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
  • Sebastien Ourselin; School of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
  • Claire J. Steves; Department of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
  • Andrew T. Chan; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School. Boston, Massachusetts, U.S.A.
  • - COPE Consortium;
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20134742
ABSTRACT
BackgroundRacial and ethnic minorities have disproportionately high hospitalization rates and mortality related to the novel coronavirus disease 2019 (Covid-19). There are comparatively scant data on race and ethnicity as determinants of infection risk. MethodsWe used a smartphone application (beginning March 24, 2020 in the United Kingdom [U.K.] and March 29, 2020 in the United States [U.S.]) to recruit 2,414,601 participants who reported their race/ethnicity through May 25, 2020 and employed logistic regression to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for a positive Covid-19 test among racial and ethnic groups. ResultsWe documented 8,858 self-reported cases of Covid-19 among 2,259,841 non-Hispanic white; 79 among 9,615 Hispanic; 186 among 18,176 Black; 598 among 63,316 Asian; and 347 among 63,653 other racial minority participants. Compared with non-Hispanic white participants, the risk for a positive Covid-19 test was increased across racial minorities (aORs ranging from 1.24 to 3.51). After adjustment for socioeconomic indices and Covid-19 exposure risk factors, the associations (aOR [95% CI]) were attenuated but remained significant for Hispanic (1.58 [1.24-2.02]) and Black participants (2.56 [1.93-3.39]) in the U.S. and South Asian (1.52 [1.38-1.67]) and Middle Eastern participants (1.56 [1.25-1.95]) in the U.K. A higher risk of Covid-19 and seeking or receiving treatment was also observed for several racial/ethnic minority subgroups. ConclusionsOur results demonstrate an increase in Covid-19 risk among racial and ethnic minorities not completely explained by other risk factors for Covid-19, comorbidities, and sociodemographic characteristics. Further research investigating these disparities are needed to inform public health measures.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies / Rct Idioma: En Año: 2020 Tipo del documento: Preprint