Nature Communications (Jun 2022)
Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
- Ellen J. Thompson,
- Dylan M. Williams,
- Alex J. Walker,
- Ruth E. Mitchell,
- Claire L. Niedzwiedz,
- Tiffany C. Yang,
- Charlotte F. Huggins,
- Alex S. F. Kwong,
- Richard J. Silverwood,
- Giorgio Di Gessa,
- Ruth C. E. Bowyer,
- Kate Northstone,
- Bo Hou,
- Michael J. Green,
- Brian Dodgeon,
- Katie J. Doores,
- Emma L. Duncan,
- Frances M. K. Williams,
- OpenSAFELY Collaborative,
- Andrew Steptoe,
- David J. Porteous,
- Rosemary R. C. McEachan,
- Laurie Tomlinson,
- Ben Goldacre,
- Praveetha Patalay,
- George B. Ploubidis,
- Srinivasa Vittal Katikireddi,
- Kate Tilling,
- Christopher T. Rentsch,
- Nicholas J. Timpson,
- Nishi Chaturvedi,
- Claire J. Steves
Affiliations
- Ellen J. Thompson
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London
- Dylan M. Williams
- MRC Unit for Lifelong Health and Ageing at UCL, University College London
- Alex J. Walker
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford
- Ruth E. Mitchell
- MRC Integrative Epidemiology Unit at the University of Bristol
- Claire L. Niedzwiedz
- Institute of Health & Wellbeing, University of Glasgow
- Tiffany C. Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
- Charlotte F. Huggins
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh
- Alex S. F. Kwong
- MRC Integrative Epidemiology Unit at the University of Bristol
- Richard J. Silverwood
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London
- Giorgio Di Gessa
- Department of Epidemiology and Public Health, University College London
- Ruth C. E. Bowyer
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London
- Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol
- Bo Hou
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
- Michael J. Green
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow
- Brian Dodgeon
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London
- Katie J. Doores
- School of Immunology & Microbial Sciences, King’s College London
- Emma L. Duncan
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London
- Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London
- OpenSAFELY Collaborative
- Andrew Steptoe
- Department of Epidemiology and Public Health, University College London
- David J. Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh
- Rosemary R. C. McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
- Laurie Tomlinson
- Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine
- Ben Goldacre
- Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford
- Praveetha Patalay
- MRC Unit for Lifelong Health and Ageing at UCL, University College London
- George B. Ploubidis
- Centre for Longitudinal Studies, UCL Social Research Institute, University College London
- Srinivasa Vittal Katikireddi
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow
- Kate Tilling
- MRC Integrative Epidemiology Unit at the University of Bristol
- Christopher T. Rentsch
- Electronic Health Records Research Group, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine
- Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol
- Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London
- Claire J. Steves
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London
- DOI
- https://doi.org/10.1038/s41467-022-30836-0
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 11
Abstract
Current understanding of Long COVID is limited, in part, due to lack of evidence from population-representative studies. Here, the authors analyse data from ten UK population-based studies and electronic health records, and find wide variation in the frequency of Long COVID between studies but some consistent risk factors.
