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

Speierer, Alexandre; Chocano-Bedoya, Patricia O; 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; ... (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. Frontiers 10.3389/ijph.2022.1604506

[img]
Preview
Text
ijph-67-1604506.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (650kB) | Preview

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.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine > Centre of Competence for General Internal Medicine
04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM)
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine

UniBE Contributor:

Speierer, Alexandre Léonard; Chocano Bedoya, Patricia Orializ; Schwab, Nathalie Christa and Rodondi, Nicolas

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1661-8556

Publisher:

Frontiers

Language:

English

Submitter:

Pubmed Import

Date Deposited:

18 Mar 2022 15:45

Last Modified:

22 Apr 2022 11:59

Publisher DOI:

10.3389/ijph.2022.1604506

PubMed ID:

35295967

Additional Information:

Speierer and Chocano-Bedoya contributed equally to this work.

Uncontrolled Keywords:

SARS-CoV-2 digital follow-up eCohort population-based study prevention public health surveillance

BORIS DOI:

10.48350/167609

URI:

https://boris.unibe.ch/id/eprint/167609

Actions (login required)

Edit item Edit item
Provide Feedback