VIVALDI Cohort Profile: Using linked, routinely collected data and longitudinal blood sampling to characterise COVID-19 infections, vaccinations, and related outcomes in care home staff and residents in England.

COVID-19 care homes data linkage infection older adults

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2023
Historique:
accepted: 15 08 2024
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 4 10 2024
Statut: epublish

Résumé

VIVALDI (ISRCTN14447421) is a government-funded longitudinal open observational cohort study of staff and residents in care homes for older people in England. The study aimed to describe epidemiology (including seroprevalence) and immune responses to COVID-19 in a subset of care homes, in the context of extremely high mortality in this setting, in the first 12-18 months of the pandemic. Data linkage to routine health data was undertaken for all staff and residents and a subset of individuals who consented to sequential blood sampling to investigate SARS-CoV-2 immunity. This paper aims to describe the samples stored within the VIVALDI biobank and associated linked data, available for use by researchers. Over 70,000 individuals from 346 care homes were included in the data linkage cohort (1

Identifiants

pubmed: 39364338
doi: 10.12688/wellcomeopenres.20278.2
pmc: PMC11447437
doi:

Types de publication

Journal Article

Langues

eng

Pagination

553

Informations de copyright

Copyright: © 2024 Krutikov M et al.

Déclaration de conflit d'intérêts

Competing interests: LS, AC, AH, and OS report grants from the Department of Health & Social Care and the UK Health Security Agency (UKHSA) during the conduct of the study and LS is a member of the Social Care Working Group, which reports to the Scientific Advisory Group for Emergencies. AH reports funding from the COVID Core Studies Programme and is a member of the New and Emerging Respiratory Virus Threats Advisory Group at the Department of Health and Environmental Modelling Group of the Scientific Advisory Group for Emergencies. No other competing interests were disclosed.

Auteurs

Maria Krutikov (M)

Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.

David Bone (D)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Oliver Stirrup (O)

Institute for Global Health, University College London, London, England, WC1N 1EH, UK.

Rachel Bruton (R)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Borscha Azmi (B)

Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.

Chris Fuller (C)

Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.

May Lau (M)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Juliet Low (J)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Shivika Rastogi (S)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Igor Monakhov (I)

UK Health Security Agency, London, SW1P 3JR, UK.

Gokhan Tut (G)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Douglas Fink (D)

Division of Infection & Immunity, University College London, London, England, WC1E 6JF, UK.

Paul Moss (P)

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, England, B15 2TT, UK.

Andrew Hayward (A)

Institute of Epidemiology & Health Care, University College London, London, England, WC1E 7HB, UK.
Health Data Research UK, London, England, NW1 2BE, UK.

Andrew Copas (A)

Institute for Global Health, University College London, London, England, WC1N 1EH, UK.

Laura Shallcross (L)

Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.
University College Hospitals London NHS Trust, NIHR Biomedical Research Centre, London, NW1 2PG, UK.

Classifications MeSH