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The corona immunitas digital follow-up ecohort to monitor impacts of the SARS-CoV-2 pandemic in Switzerland: study protocol and first results

Speierer, A. and Chocano-Bedoya, P. O. and Anker, D. and Schmid, A. and Keidel, D. and Vermes, T. and Imboden, M. and Levati, S. and Franscella, G. and Corna, L. and Amati, R. and Harju, E. and Luedi, C. and Michel, G. and Veys-Takeuchi, C. and Zuppinger, C. and Nussle, S. G. and D'Acremont, V. and Tall, I. and Salberg, E. and Baysson, H. and Lorthe, E. and Pennacchio, F. and Frei, A. and Kaufmann, M. and Geigges, M. and West, E. A. and Schwab, N. and Cullati, S. and Chiolero, A. and Kahlert, C. and Stringhini, S. and Vollrath, F. and Probst-Hensch, N. and Rodondi, N. and Puhan, M. A. and von Wyl, V.. (2022) The corona immunitas digital follow-up ecohort to monitor impacts of the SARS-CoV-2 pandemic in Switzerland: study protocol and first results. International journal of public health, 67. p. 1604506.

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Abstract

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, Neuchatel, 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.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Biostatistics Frequentist Modelling (Kwiatkowski)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Chronic Disease Epidemiology > Exposome Science (Probst-Hensch)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin > Exposome Science (Probst-Hensch)
UniBasel Contributors:Keidel, Dirk and Vermes, Thomas and Imboden, Medea and Probst-Hensch, Nicole
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1661-8556
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:27 Dec 2022 22:06
Deposited On:27 Dec 2022 22:06

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