Occupation and SARS-CoV-2 infection risk among 108 960 workers during the first pandemic wave in Germany

  1. Reuter, Marvin
  2. Rigó, Mariann
  3. Formazin, Maren
  4. Liebers, Falk
  5. Latza, Ute
  6. Castell, Stefanie
  7. Jöckel, Karl-Heinz
  8. Greiser, Karin Halina
  9. Michels, Karin B.
  10. Krause, Gérard
  11. Albrecht, Stefan
  12. Öztürk, Ilter
  13. Kuß, Oliver
  14. Berger, Klaus
  15. Lampl, Benedikt
  16. Leitzmann, Michael
  17. Zeeb, Hajo ORCID logo
  18. Romero Starke, Karla
  19. Schipf, Sabine
  20. Meinke-Franze, Claudia
  21. Ahrens, Wolfgang ORCID logo
  22. Seidler, Andreas
  23. Klee, Bianca
  24. Pischon, Tobias
  25. Deckert, Andreas
  26. Schmidt, Börge
  27. Mikolajczyk, Rafael
  28. Karch, André
  29. Bohn, Barbara
  30. Brenner, Hermann
  31. Holleczek, Bernd
  32. Dragano, Nico

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1000 Titel
  • Occupation and SARS-CoV-2 infection risk among 108 960 workers during the first pandemic wave in Germany
1000 Autor/in
  1. Reuter, Marvin |
  2. Rigó, Mariann |
  3. Formazin, Maren |
  4. Liebers, Falk |
  5. Latza, Ute |
  6. Castell, Stefanie |
  7. Jöckel, Karl-Heinz |
  8. Greiser, Karin Halina |
  9. Michels, Karin B. |
  10. Krause, Gérard |
  11. Albrecht, Stefan |
  12. Öztürk, Ilter |
  13. Kuß, Oliver |
  14. Berger, Klaus |
  15. Lampl, Benedikt |
  16. Leitzmann, Michael |
  17. Zeeb, Hajo |
  18. Romero Starke, Karla |
  19. Schipf, Sabine |
  20. Meinke-Franze, Claudia |
  21. Ahrens, Wolfgang |
  22. Seidler, Andreas |
  23. Klee, Bianca |
  24. Pischon, Tobias |
  25. Deckert, Andreas |
  26. Schmidt, Börge |
  27. Mikolajczyk, Rafael |
  28. Karch, André |
  29. Bohn, Barbara |
  30. Brenner, Hermann |
  31. Holleczek, Bernd |
  32. Dragano, Nico |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-06-07
1000 Erschienen in
1000 Quellenangabe
  • 48(6):446-456
1000 FRL-Sammlung
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5271/sjweh.4037 |
1000 Ergänzendes Material
  • https://www.sjweh.fi/show_abstract.php?abstract_id=4037&fullText=1#box-onlineFiles |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVE: The aim of this study was to identify the occupational risk for a SARS-CoV-2 infection in a nationwide sample of German workers during the first wave of the COVID-19 pandemic (1 February–31 August 2020). METHODS: We used the data of 108 960 workers who participated in a COVID follow-up survey of the German National Cohort (NAKO). Occupational characteristics were derived from the German Classification of Occupations 2010 (Klassifikation der Berufe 2010). PCR-confirmed SARS-CoV-2 infections were assessed from self-reports. Incidence rates (IR) and incidence rate ratios (IRR) were estimated using robust Poisson regression, adjusted for person-time at risk, age, sex, migration background, study center, working hours, and employment relationship. RESULTS: The IR was 3.7 infections per 1000 workers [95% confidence interval (CI) 3.3–4.1]. IR differed by occupational sector, with the highest rates observed in personal (IR 4.8, 95% CI 4.0–5.6) and business administration (IR 3.4, 95% CI 2.8–3.9) services and the lowest rates in occupations related to the production of goods (IR 2.0, 95% CI 1.5–2.6). Infections were more frequent among essential workers compared with workers in non-essential occupations (IRR 1.95, 95% CI 1.59–2.40) and among highly skilled compared with skilled professions (IRR 1.36, 95% CI 1.07–1.72). CONCLUSIONS: The results emphasize higher infection risks in essential occupations and personal-related services, especially in the healthcare sector. Additionally, we found evidence that infections were more common in higher occupational status positions at the beginning of the pandemic.
1000 Sacherschließung
lokal pandemic
gnd 1206347392 COVID-19
lokal KldB 2010
lokal infection risk at work
lokal Germany
lokal cohort study
lokal ISCO-08
lokal SARS-CoV-2
lokal workplace
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin |
  2. Bundesministerium für Bildung und Forschung |
1000 Fördernummer
  1. BAuA-F2515
  2. 01ER1301A/B/C; 01ER1511D
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesanstalt für Arbeitsschutz und Arbeitsmedizin |
    1000 Förderprogramm -
    1000 Fördernummer BAuA-F2515
  2. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01ER1301A/B/C; 01ER1511D
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6435568.rdf
1000 Erstellt am 2022-10-18T12:11:09.952+0200
1000 Erstellt von 266
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1000 Zuletzt bearbeitet 2022-10-24T07:59:36.550+0200
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