Author Correction: Attributes and predictors of long COVID

Affiliations

¹ School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
² MRC Unit for Lifelong Health and Ageing, Department of Population Health Sciences, University College London, London, UK.
³ Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
⁴ Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
⁵ Zoe Global, London, UK.
⁶ Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.
⁷ Division of Endocrinology & Computational Epidemiology, Boston Children's Hospital, Boston, MA, USA.
⁸ Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
⁹ Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
¹⁰ Department of Medicine, Harvard Medical School, Boston, MA, USA.
¹¹ Lund University Diabetes Centre, Department of Clinical Sciences, Malmö, Sweden.
¹² Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
¹³ AI Institute '3IA Côte d'Azur', Université Côte d'Azur, Nice, France.
¹⁴ Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. claire.j.steves@kcl.ac.uk.

^# Contributed equally.

Published Erratum

Carole H Sudre et al. Nat Med. 2021 Jun.

. 2021 Jun;27(6):1116.

doi: 10.1038/s41591-021-01361-2.

¹ School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
² MRC Unit for Lifelong Health and Ageing, Department of Population Health Sciences, University College London, London, UK.
³ Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
⁴ Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
⁵ Zoe Global, London, UK.
⁶ Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.
⁷ Division of Endocrinology & Computational Epidemiology, Boston Children's Hospital, Boston, MA, USA.
⁸ Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
⁹ Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
¹⁰ Department of Medicine, Harvard Medical School, Boston, MA, USA.
¹¹ Lund University Diabetes Centre, Department of Clinical Sciences, Malmö, Sweden.
¹² Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
¹³ AI Institute '3IA Côte d'Azur', Université Côte d'Azur, Nice, France.
¹⁴ Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. claire.j.steves@kcl.ac.uk.

^# Contributed equally.

No abstract available

Erratum for

Attributes and predictors of long COVID.
Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, Pujol JC, Klaser K, Antonelli M, Canas LS, Molteni E, Modat M, Jorge Cardoso M, May A, Ganesh S, Davies R, Nguyen LH, Drew DA, Astley CM, Joshi AD, Merino J, Tsereteli N, Fall T, Gomez MF, Duncan EL, Menni C, Williams FMK, Franks PW, Chan AT, Wolf J, Ourselin S, Spector T, Steves CJ. Sudre CH, et al. Nat Med. 2021 Apr;27(4):626-631. doi: 10.1038/s41591-021-01292-y. Epub 2021 Mar 10. Nat Med. 2021. PMID: 33692530 Free PMC article.