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
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
553Informations 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.