The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results.
Détails
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Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
Accès restreint UNIL
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
ID Serval
serval:BIB_EE695D569692
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results.
Périodique
International journal of public health
ISSN
1661-8564 (Electronic)
ISSN-L
1661-8556
Statut éditorial
Publié
Date de publication
28/02/2022
Peer-reviewed
Oui
Volume
67
Pages
1604506
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
Objectives: To describe the rationale, organization, and procedures of the Corona Immunitas Digital Follow-Up (CI-DFU) eCohort and to characterize participants at baseline. Methods: Participants of Corona Immunitas, a population-based nationwide SARS-CoV-2 seroprevalence study in Switzerland, were invited to join the CI-DFU eCohort in 11 study centres. Weekly online questonnaires cover health status changes, prevention measures adherence, and social impacts. Monthly questionnaires cover additional prevention adherence, contact tracing apps use, vaccination and vaccine hesitancy, and socio-economic changes. Results: We report data from the 5 centres that enrolled in the CI-DFU between June and October 2020 (covering Basel City/Land, Fribourg, Neuchâtel, Ticino, Zurich). As of February 2021, 4636 participants were enrolled and 85,693 weekly and 27,817 monthly questionnaires were collected. Design-based oversampling led to overrepresentation of individuals aged 65+ years. People with higher education and income were more likely to enroll and be retained. Conclusion: Broad enrolment and robust retention of participants enables scientifically sound monitoring of pandemic impacts, prevention, and vaccination progress. The CI-DFU eCohort demonstrates proof-of-principle for large-scale, federated eCohort study designs based on jointly agreed principles and transparent governance.
Mots-clé
Aged, COVID-19/epidemiology, COVID-19/prevention & control, Follow-Up Studies, Humans, Pandemics, SARS-CoV-2, Seroepidemiologic Studies, Switzerland/epidemiology, digital follow-up, eCohort, population-based study, prevention, public health surveillance
Pubmed
Web of science
Open Access
Oui
Création de la notice
22/03/2022 8:53
Dernière modification de la notice
20/07/2022 5:39