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  3. The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results.
 

The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results.

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BORIS DOI
10.48350/167609
Date of Publication
February 28, 2022
Publication Type
Article
Division/Institute

Berner Institut für H...

Clinic of General Int...

Contributor
Speierer, Alexandre Léonard
Clinic of General Internal Medicine
Berner Institut für Hausarztmedizin (BIHAM)
Chocano Bedoya, Patricia Orializ
Berner Institut für Hausarztmedizin (BIHAM)
Anker, Daniela
Schmid, Alexia
Keidel, Dirk
Vermes, Thomas
Imboden, Medea
Levati, Sara
Franscella, Giovanni
Corna, Laurie
Amati, Rebecca
Harju, Erika
Luedi, Chantal
Michel, Gisela
Veys-Takeuchi, Caroline
Zuppinger, Claire
Nusslé, Semira Gonseth
D'Acremont, Valérie
Tall, Ismaël
Salberg, Éric
Baysson, Hélène
Lorthe, Elsa
Pennacchio, Francesco
Frei, Anja
Kaufmann, Marco
Geigges, Marco
West, Erin Ashley
Schwab, Nathalie Christa
Berner Institut für Hausarztmedizin (BIHAM)
Clinic of General Internal Medicine
Cullati, Stéphane
Chiolero, Arnaud
Kahlert, Christian
Stringhini, Silvia
Vollrath, Fabian
Probst-Hensch, Nicole
Rodondi, Nicolas
Berner Institut für Hausarztmedizin (BIHAM)
Clinic of General Internal Medicine
Clinic of General Internal Medicine
Puhan, Milo A
von Wyl, Viktor
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
International journal of public health
ISSN or ISBN (if monograph)
1661-8556
Publisher
Frontiers
Language
English
Publisher DOI
10.3389/ijph.2022.1604506
PubMed ID
35295967
Uncontrolled Keywords

SARS-CoV-2 digital fo...

Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/68961
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
ijph-67-1604506.pdftextAdobe PDF634.87 KBAttribution (CC BY 4.0)publishedOpen
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