Symptom profiles of community cases infected by influenza, RSV, rhinovirus, seasonal coronavirus, and SARS-CoV-2 variants of concern.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 08 2023
Historique:
received: 06 02 2023
accepted: 16 07 2023
medline: 4 8 2023
pubmed: 3 8 2023
entrez: 2 8 2023
Statut: epublish

Résumé

Respiratory viruses that were suppressed through previous lockdowns during the COVID-19 pandemic have recently started to co-circulate with SARS-CoV-2. Understanding the clinical characteristics and symptomatology of different respiratory viral infections can help address the challenges related to the identification of cases and the understanding of SARS-CoV-2 variants' evolutionary patterns. Flu Watch (2006-2011) and Virus Watch (2020-2022) are household community cohort studies monitoring the epidemiology of influenza, respiratory syncytial virus, rhinovirus, seasonal coronavirus, and SARS-CoV-2, in England and Wales. This study describes and compares the proportion of symptoms reported during illnesses infected by common respiratory viruses. The SARS-CoV-2 symptom profile increasingly resembles that of other respiratory viruses as new strains emerge. Increased cough, sore throat, runny nose, and sneezing are associated with the emergence of the Omicron strains. As SARS-CoV-2 becomes endemic, monitoring the evolution of its symptomatology associated with new variants will be critical for clinical surveillance.

Identifiants

pubmed: 37532756
doi: 10.1038/s41598-023-38869-1
pii: 10.1038/s41598-023-38869-1
pmc: PMC10397315
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12511

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206602
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC 19070
Pays : United Kingdom

Informations de copyright

© 2023. The Author(s).

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Auteurs

Cyril Geismar (C)

MRC Centre for Global Infectious Disease Analysis and NIHR Health Protection Research Unit in Modelling and Health Economics, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. c.geismar21@imperial.ac.uk.
Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK. c.geismar21@imperial.ac.uk.

Vincent Nguyen (V)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Ellen Fragaszy (E)

Institute of Epidemiology and Health Care, University College London, London, UK.
Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Madhumita Shrotri (M)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Annalan M D Navaratnam (AMD)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Sarah Beale (S)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Institute of Epidemiology and Health Care, University College London, London, UK.

Thomas E Byrne (TE)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Wing Lam Erica Fong (WLE)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Alexei Yavlinsky (A)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Jana Kovar (J)

Institute of Epidemiology and Health Care, University College London, London, UK.

Susan Hoskins (S)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Isobel Braithwaite (I)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Robert W Aldridge (RW)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Andrew C Hayward (AC)

Institute of Epidemiology and Health Care, University College London, London, UK.

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Classifications MeSH