Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.

Saved in:
Bibliographic Details
Title: Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.
Authors: Bowyer RCE; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.; The Alan Turing Institute, London, UK., Huggins C; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK., Toms R; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; Population Wellbeing, School of Health Sciences, Cardiff Metropolitan University, Cardiff, UK., Shaw RJ; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK., Hou B; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK., Thompson EJ; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK., Kwong ASF; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.; Division of Psychiatry, University of Edinburgh, Edinburgh, UK., Williams DM; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden., Kibble M; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK., Ploubidis GB; Centre for Longitudinal Studies, UCL Social Research Institute, University College London, London, UK., Timpson NJ; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK., Sterne JAC; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; NIHR Bristol Biomedical Research Centre, Bristol, UK.; Health Data Research UK South West, Bristol, UK., Chaturvedi N; MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK., Steves CJ; Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, King's College London, London, UK.; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, London, UK., Tilling K; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK., Silverwood RJ; Centre for Longitudinal Studies, UCL Social Research Institute, University College London, London, UK. r.silverwood@ucl.ac.uk.
Corporate Authors: CONVALESCENCE Study
Source: European journal of epidemiology [Eur J Epidemiol] 2023 Feb; Vol. 38 (2), pp. 199-210. Date of Electronic Publication: 2023 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8508062 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7284 (Electronic) Linking ISSN: 03932990 NLM ISO Abbreviation: Eur J Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1573-7284
DOI:10.1007/s10654-022-00962-6