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Original article

Vol. 155 No. 11 (2025)

Overview and evaluation of a nationwide hospital-based surveillance system for influenza and COVID-19 in Switzerland (CH-SUR): 2018–2023

Cite this as:
Swiss Med Wkly. 2025;155:4213
Published
18.11.2025

Summary

BACKGROUND: In 2018, a hospital-based surveillance system for influenza (CH-SUR) was established in six tertiary care hospitals in Switzerland. From March 2020 onwards, this surveillance system was expanded to include more institutions, as well as COVID-19.

AIM: To quantitatively evaluate the timeliness and completeness of CH-SUR data and to qualitatively assess stakeholder perceptions of the importance, reliability and adaptability of the surveillance system.

METHODS: All patients admitted to one of the participating centres for more than 24 hours and who had a laboratory-confirmed influenza virus or SARS-CoV-2 infection were included in CH-SUR. For all cases, we evaluated the timeliness and completeness of reporting to CH-SUR. A qualitative survey among CH-SUR stakeholders assessed perceived importance, understanding, reliability and adaptability of CH-SUR.

RESULTS: Up to 20 centres participated in CH-SUR. Between December 2018 and October 2023, 7375 cases of influenza were reported and between March 2020 and October 2023, 49,235 cases of COVID-19 were reported to CH-SUR. During the COVID-19 pandemic, time to data entry and completeness improved over time; the median delay of data entry in CH-SUR was 5 days (interquartile range [IQR]: 2–23) for COVID-19 and 4 days (IQR: 2–15) for influenza during the period 2018–2023. The completeness of variables was high (99.4%), with the exception of COVID-19 or annual influenza vaccination status (respectively, 15% and 72% “Unknown” responses). Stakeholders perceived the system as important, relevant, understandable and adaptable.

CONCLUSION: CH-SUR provided critical epidemiological and clinical information on hospitalised influenza and COVID-19 cases across Switzerland during the pandemic. Our evaluation highlighted the importance and relevance of this system among CH-SUR stakeholders, as well as its importance for preparedness and response to future infectious disease outbreaks.

References

  1. 1. Abbas M, Zhu NJ, Mookerjee S, Bolt F, Otter JA, Holmes AH, et al. Hospital-onset COVID-19 infection surveillance systems: a systematic review. J Hosp Infect. 2021 Sep;115:44–50. doi: https://doi.org/10.1016/j.jhin.2021.05.016
  2. 2. Marcenac P, McCarron M, Davis W, Igboh LS, Mott JA, Lafond KE, et al. Leveraging international influenza surveillance systems and programs during the COVID-19 pandemic. Emerg Infect Dis. 2022 Dec;28(13 Suppl 1):S26–33. doi: https://doi.org/10.3201/eid2813.212248
  3. 3. Fougerolles de, Damm O, Ansaldi F, et al. National influenza surveillance systems in five European countries: a qualitative comparative framework based on WHO guidance. BMC Public Health. 2022;22(1):1–13.
  4. 4. Quirós-González V, Rodríguez-Pérez P, Haro-Pérez AM, Jiménez-Rodríguez MM, Maderuelo-Fernández JÁ, Eiros JM. Real-time surveillance systems: applicability for the control of influenza in acute care. Influenza Other Respir Viruses. 2020 May;14(3):331–9. doi: https://doi.org/10.1111/irv.12720
  5. 5. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: https://doi.org/10.1016/j.jbi.2008.08.010
  6. 6. New Coronavirus 2019-nCoV: first confirmed case in Switzerland. Accessed June 5, 2024. Available from: https://www.bag.admin.ch/bag/en/home/das-bag/aktuell/medienmitteilungen.msg-id-78233.html
  7. 7. Maximiano Sousa F, Roelens M, Fricker B, Thiabaud A, Iten A, Cusini A, et al.; Ch-Sur Study Group. Risk factors for severe outcomes for COVID-19 patients hospitalised in Switzerland during the first pandemic wave, February to August 2020: prospective observational cohort study. Swiss Med Wkly. 2021 Jul;151(2930):w20547. doi: https://doi.org/10.4414/smw.2021.20547
  8. 8. Thiabaud A, Iten A, Balmelli C, Senn L, Troillet N, Widmer A, et al. Cohort profile: SARS-CoV-2/COVID-19 hospitalised patients in Switzerland. Swiss Med Wkly. 2021 Feb;151(708):w20475. doi: https://doi.org/10.4414/smw.2021.20475
  9. 9. Swiss Federal office of public health. Monthly COVID-19 situation in Switzerland. Published online June 2023.
  10. 10. Centers for Disease Control and Prevention (CDC), Updated Guidelines for Evaluating Public Health Surveillance Systems, Recommendations from the Guidelines Working Group, 2001
  11. 11. Shu Y, McCauley J. GISAID: global initiative on sharing all influenza data - from vision to reality. Euro Surveill. 2017 Mar;22(13):30494. doi: https://doi.org/10.2807/1560-7917.ES.2017.22.13.30494
  12. 12. Fellows I. Wordcloud: Word Clouds.; 2018. Available from: https://CRAN.R-project.org/package=wordcloud
  13. 13. Feinerer I, Hornik K, Meyer D. Text Mining Infrastructure in R. J Stat Softw. 2008;25(5):1–54. 10.18637/jss.v025.i05
  14. 14. Schreier M. Qualitative Content Analysis. The SAGE Handbook of Qualitative Data Analysis. SAGE Publications, Inc.; 2014. pp. 170–83. [ [cited 2024 Jun 5]]. 10.4135/9781446282243.n12
  15. 15. Team RC. A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2023. Available from: https://www.R-project.org/
  16. 16. Ricks PM, Njie GJ, Dawood FS, Blain AE, Winstead A, Popoola A, et al. Lessons learned from CDC’s global COVID-19 Early Warning and Response Surveillance system. Emerg Infect Dis. 2022 Dec;28(13 Suppl 1):S8–16. doi: https://doi.org/10.3201/eid2813.212544
  17. 17. Estill J, Venkova-Marchevska P, Günthard HF, Botero-Mesa S, Thiabaud A, Roelens M, et al. Treatment effect of remdesivir on the mortality of hospitalised COVID-19 patients in Switzerland across different patient groups: a tree-based model analysis. Swiss Med Wkly. 2023 Aug;153(8):40095. 10.57187/smw.2023.40095
  18. 18. Fröhlich GM, De Kraker ME, Abbas M, Keiser O, Thiabaud A, Roelens M, et al. Hospital outcomes of community-acquired COVID-19 versus influenza: insights from the Swiss hospital-based surveillance of influenza and COVID-19. Euro Surveill. 2022 Jan;27(1):2001848. doi: https://doi.org/10.2807/1560-7917.ES.2022.27.1.2001848
  19. 19. Roelens M, Martin A, Friker B, Sousa FM, Thiabaud A, Vidondo B, et al. Evolution of COVID-19 mortality over time: results from the Swiss hospital surveillance system (CH-SUR). Swiss Med Wkly. 2021 Nov;151(4748):w30105. doi: https://doi.org/10.4414/SMW.2021.w30105
  20. 20. Portmann L, de Kraker ME, Fröhlich G, Thiabaud A, Roelens M, Schreiber PW, et al.; CH-SUR study group. Hospital Outcomes of Community-Acquired SARS-CoV-2 Omicron Variant Infection Compared With Influenza Infection in Switzerland. JAMA Netw Open. 2023 Feb;6(2):e2255599–2255599. doi: https://doi.org/10.1001/jamanetworkopen.2022.55599
  21. 21. Grant RL, Sauser J, Atkinson A, D’Incau S, Buetti N, Zanella MC, et al.; CH-SUR Collaborative Network. Comparison of clinical outcomes over time of inpatients with healthcare-associated or community-acquired coronavirus disease 2019 (COVID-19): A multicenter, prospective cohort study. Infect Control Hosp Epidemiol. 2024 Jan;45(1):75–81. 10.1017/ice.2023.143
  22. 22. Bloom DE, Cadarette D. Strengthening the Global Response to Infectious Disease Threats in the Twenty-First Century, with a COVID-19 Epilogue. Global Health. Cambridge University Press; 2021. pp. 51–75. [ [cited 2024 Jun 13]]. 10.1017/9781108692137.004
  23. 23. Sullivan D, Sullivan V, Weatherspoon D, Frazer C. Comparison of nurse burnout, before and during the COVID-19 pandemic. Nurs Clin North Am. 2022 Mar;57(1):79–99. doi: https://doi.org/10.1016/j.cnur.2021.11.006
  24. 24. Lasater KB, Aiken LH, Sloane DM, et al. Chronic hospital nurse understaffing meets COVID-19: an observational study. BMJ Quality & Safety. 2021;30(8):639-647.
  25. 25. Rivas N, López M, Castro MJ, Luis-Vian S, Fernández-Castro M, Cao MJ, et al. Analysis of burnout syndrome and resilience in nurses throughout the COVID-19 pandemic: a cross-sectional study. Int J Environ Res Public Health. 2021 Oct;18(19):10470. doi: https://doi.org/10.3390/ijerph181910470
  26. 26. Lee J, Park YT, Park YR, Lee JH. Review of National-Level Personal Health Records in Advanced Countries. Healthc Inform Res. 2021 Apr;27(2):102–9. 10.4258/hir.2021.27.2.102
  27. 27. Queralt-Rosinach N, Kaliyaperumal R, Bernabé CH, Long Q, Joosten SA, van der Wijk HJ, et al.; BEAT-COVID Group; COVID-19 LUMC Group. Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic. J Biomed Semantics. 2022 Apr;13(1):12. doi: https://doi.org/10.1186/s13326-022-00263-7
  28. 28. World Health Organization, others. WHO Consultation to Adapt Influenza Sentinel Surveillance Systems to Include COVID-19 Virological Surveillance: Virtual Meeting, 6–8 October 2020. World Health Organization; 2022.
  29. 29. World Health Organization, others. COVID-19 Strategic Preparedness and Response Plan: Monitoring and Evaluation Framework, 11 May 2021. World Health Organization; 2021.