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Objectives: To assess the association between socioeconomic status (SES) and self-reported adherence to preventive measures in Switzerland during the COVID-19 pandemic., Methods: 4,299 participants from a digital cohort were followed between September 2020 and November 2021. Baseline equivalised disposable income and education were used as SES proxies. Adherence was assessed over time. We investigated the association between SES and adherence using multivariable mixed logistic regression, stratifying by age (below/above 65 years) and two periods (before/after June 2021, to account for changes in vaccine coverage and epidemiological situation)., Results: Adherence was high across all SES strata before June 2021. After, participants with higher equivalised disposable income were less likely to adhere to preventive measures compared to participants in the first (low) quartile [second (Adj.OR, 95% CI) (0.56, 0.37-0.85), third (0.38, 0.23-0.64), fourth (0.60, 0.36-0.98)]. We observed similar results for education., Conclusion: No differences by SES were found during the period with high SARS-CoV-2 incidence rates and stringent measures. Following the broad availability of vaccines, lower incidence, and eased measures, differences by SES started to emerge. Our study highlights the need for contextual interpretation when assessing SES impact on adherence to preventive measures., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 Tancredi, van der Linden, Chiolero, Cullati, Imboden, Probst-Hensch, Keidel, Witzig, Dratva, Michel, Harju, Frank, Lorthe, Baysson, Stringhini, Kahlert, Bardoczi, Haller, Chocano-Bedoya, Rodondi, Amati, Albanese, Corna, Crivelli, Kaufmann, Frei and von Wyl.)

Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes. Results: We observed a dichotomy of individuals who did not use the SwissCovid app and did not get vaccinated, and who used the SwissCovid app and got vaccinated during the study period. Increased vaccine uptake was observed with SwissCovid app use (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62-1.99 [CSM]) compared to SwissCovid app non-use. Decreased SwissCovid uninstallation risk was observed for participants who got vaccinated (aHR, 0.55; 95% CI: 0.38-0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27-0.78 [CSM]) compared to participants who did not get vaccinated. Conclusion: In evolving epidemic contexts, these findings underscore the need for communication strategies as well as flexible digital proximity tracing app adjustments that accommodate different preventive measures and their anticipated interactions., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Daniore, Moser, Höglinger, Probst Hensch, Imboden, Vermes, Keidel, Bochud, Ortega Herrero, Baggio, Chocano-Bedoya, Rodondi, Tancredi, Wagner, Cullati, Stringhini, Gonseth Nusslé, Veys-Takeuchi, Zuppinger, Harju, Michel, Frank, Kahlert, Albanese, Crivelli, Levati, Amati, Kaufmann, Geigges, Ballouz, Frei, Fehr and von Wyl.)

Objectives: To describe the frequency of and reasons for changes in healthcare utilization in those requiring ongoing treatment, and to assess characteristics associated with change, during the second wave of the pandemic. Methods: Corona Immunitas e-cohort study (age ≥20 years) participants completed monthly questionnaires. We compared participants reporting a change in healthcare utilization with those who did not using descriptive and bivariate statistics. We explored characteristics associated with the number of changes using negative binomial regression. Results: The study included 3,190 participants from nine research sites. One-fifth reported requiring regular treatment. Among these, 14% reported a change in healthcare utilization, defined as events in which participants reported that they changed their ongoing treatment, irrespective of the reason. Reasons for change were medication changes and side-effects, specifically for hypertension, or pulmonary embolism treatment. Females were more likely to report changes [Incidence Rate Ratio (IRR) = 2.15, p = 0.002]. Those with hypertension were least likely to report changes [IRR = 0.35, p = 0.019]. Conclusion: Few of those requiring regular treatment reported changes in healthcare utilization. Continuity of care for females and chronic diseases besides hypertension must be emphasized., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Harju, Speierer, Jungo, Levati, Baggio, Tancredi, Noor, Rodondi, Cullati, Imboden, Keidel, Witzig, Frank, Kohler, Kahlert, Crivelli, Amati, Albanese, Kaufmann, Frei, von Wyl, Puhan, Probst-Hensch, Michel, Rodondi and Chocano-Bedoya.)

Objectives: We compared socio-demographic characteristics, health-related variables, vaccination-related beliefs and attitudes, vaccination acceptance, and personality traits of individuals who vaccinated against COVID-19 and who did not vaccinate by December 2021. Methods: This cross-sectional study used data of 10,642 adult participants from the Corona Immunitas eCohort, an age-stratified random sample of the population of several cantons in Switzerland. We used multivariable logistic regression models to explore associations of vaccination status with socio-demographic, health, and behavioral factors. Results: Non-vaccinated individuals represented 12.4% of the sample. Compared to vaccinated individuals, non-vaccinated individuals were more likely to be younger, healthier, employed, have lower income, not worried about their health, have previously tested positive for SARS-CoV-2 infection, express lower vaccination acceptance, and/or report higher conscientiousness. Among non-vaccinated individuals, 19.9% and 21.3% had low confidence in the safety and effectiveness of SARS-CoV-2 vaccine, respectively. However, 29.1% and 26.7% of individuals with concerns about vaccine effectiveness and side effects at baseline, respectively vaccinated during the study period. Conclusion: In addition to known socio-demographic and health-related factors, non-vaccination was associated with concerns regarding vaccine safety and effectiveness., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2023 Sabatini, Kaufmann, Fadda, Tancredi, Noor, Van Der Linden, Cullati, Frank, Michel, Harju, Luedi, Frei, Ballouz, Menges, Fehr, Kohler, Kahlert, Scheu, Ortega, Chocano-Bedoya, Rodondi, Stringhini, Baysson, Lorthe, Zufferey, Suggs, Albanese, Vincentini, Bochud, D’Acremont, Nusslé, Imboden, Keidel, Witzig, Probst-Hensch and von Wyl.)

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., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Speierer, Chocano-Bedoya, Anker, Schmid, Keidel, Vermes, Imboden, Levati, Franscella, Corna, Amati, Harju, Luedi, Michel, Veys-Takeuchi, Zuppinger, Nusslé, D’Acremont, Tall, Salberg, Baysson, Lorthe, Pennacchio, Frei, Kaufmann, Geigges, West, Schwab, Cullati, Chiolero, Kahlert, Stringhini, Vollrath, Probst-Hensch, Rodondi, Puhan and von Wyl.)