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1000 Titel
  • Estimates of protection levels against SARS-CoV-2 infection and severe COVID-19 in Germany before the 2022/2023 winter season: the IMMUNEBRIDGE project
1000 Autor/in
  1. Lange, Berit |
  2. Jaeger, Veronika K. |
  3. Harries, Manuela |
  4. Rücker, Viktoria |
  5. Streeck, Hendrik |
  6. Blaschke, Sabine |
  7. Petersmann, Astrid |
  8. Toepfner, Nicole |
  9. Nauck, Matthias |
  10. Hassenstein, Max J. |
  11. Dreier, Maren |
  12. von Holt, Isabell |
  13. Budde, Axel |
  14. Bartz, Antonia |
  15. Ortmann, Julia |
  16. Kurosinski, Marc-André |
  17. Berner, Reinhard |
  18. Borsche, Max |
  19. Brandhorst, Gunnar |
  20. Brinkmann, Melanie |
  21. Budde, Kathrin |
  22. Deckena, Marek |
  23. Engels, Geraldine |
  24. Fenzlaff, Marc |
  25. Härtel, Christoph |
  26. Hovardovska, Olga |
  27. Katalinic, Alexander |
  28. Kehl, Katja |
  29. Kohls, Mirjam |
  30. Krüger, Stefan |
  31. Lieb, Wolfgang |
  32. Meyer-Schlinkmann, Kristin M. |
  33. Pischon, Tobias |
  34. Rosenkranz, Daniel |
  35. Rübsamen, Nicole |
  36. Rupp, Jan |
  37. Schäfer, Christian |
  38. Schattschneider, Mario |
  39. Schlegtendal, Anne |
  40. Schlinkert, Simon |
  41. Schmidbauer, Lena |
  42. Schulze-Wundling, Kai |
  43. Störk, Stefan |
  44. Tiemann, Carsten |
  45. Völzke, Henry |
  46. Winter, Theresa |
  47. Klein, Christine |
  48. Liese, Johannes |
  49. Brinkmann, Folke |
  50. Ottensmeyer, Patrick F. |
  51. Reese, Jens-Peter |
  52. Heuschmann, Peter |
  53. Karch, André |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-08-02
1000 Erschienen in
1000 Quellenangabe
  • 52(1):139-153
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-023-02071-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10811028/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>Despite the need to generate valid and reliable estimates of protection levels against SARS-CoV-2 infection and severe course of COVID-19 for the German population in summer 2022, there was a lack of systematically collected population-based data allowing for the assessment of the protection level in real time.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>In the IMMUNEBRIDGE project, we harmonised data and biosamples for nine population-/hospital-based studies (total number of participants <jats:italic>n</jats:italic> = 33,637) to provide estimates for protection levels against SARS-CoV-2 infection and severe COVID-19 between June and November 2022. Based on evidence synthesis, we formed a combined endpoint of protection levels based on the number of self-reported infections/vaccinations in combination with nucleocapsid/spike antibody responses (“confirmed exposures”). Four confirmed exposures represented the highest protection level, and no exposure represented the lowest.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Most participants were seropositive against the spike antigen; 37% of the participants ≥ 79 years had less than four confirmed exposures (highest level of protection) and 5% less than three. In the subgroup of participants with comorbidities, 46–56% had less than four confirmed exposures. We found major heterogeneity across federal states, with 4–28% of participants having less than three confirmed exposures.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Using serological analyses, literature synthesis and infection dynamics during the survey period, we observed moderate to high levels of protection against severe COVID-19, whereas the protection against SARS-CoV-2 infection was low across all age groups. We found relevant protection gaps in the oldest age group and amongst individuals with comorbidities, indicating a need for additional protective measures in these groups.</jats:p> </jats:sec>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Seasons [MeSH]
lokal Humans [MeSH]
lokal Humoral immunity
lokal Germany/epidemiology [MeSH]
lokal Antibodies, Viral [MeSH]
lokal Research
lokal Neutralizing antibodies
lokal European People [MeSH]
lokal Seroepidemiological studies
lokal COVID-19/epidemiology [MeSH]
lokal SARS-CoV-2 [MeSH]
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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