Case-control study of behavioural and societal risk factors for sporadic SARS-CoV-2 infections, Germany, 2020-2021 (CoViRiS study).

COVID-19 SARS-CoV-2 infectious disease epidemiology public health virus infection

Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
15 Jan 2024
Historique:
pubmed: 15 1 2024
medline: 15 1 2024
entrez: 14 1 2024
Statut: epublish

Résumé

During the COVID-19 pandemic in Germany, a variety of societal activities were restricted to minimize direct personal interactions and, consequently, reduce SARS-CoV-2 transmission. The aim of the CoViRiS study was to investigate whether certain behaviours and societal factors were associated with the risk of sporadic symptomatic SARS-CoV-2 infections. Adult COVID-19 cases and frequency-matched population controls were interviewed by telephone regarding activities that involved contact with other people during the 10 days before illness onset (cases) or before the interview (controls). Associations between activities and symptomatic SARS-CoV-2 infection were analysed using logistic regression models adjusted for potential confounding variables. Data of 859 cases and 1 971 controls were available for analysis. The risk of symptomatic SARS-CoV-2 infection was lower for individuals who worked from home (adjusted odds ratio (aOR) 0.5; 95% confidence interval (CI) 0.3-0.6). Working in a health care setting was associated with a higher risk (aOR: 1.5; 95% CI: 1.1-2.1) as were private indoor contacts, personal contacts that involved shaking hands or hugging, and overnight travelling within Germany. Our results are in line with some of the public health recommendations aimed at reducing interpersonal contacts during the COVID-19 pandemic.

Identifiants

pubmed: 38220467
doi: 10.1017/S0950268824000050
pii: S0950268824000050
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16

Subventions

Organisme : Bundesministerium für Gesundheit
ID : D81852 ("StopptCOVID-Studie")

Auteurs

Bettina M Rosner (BM)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Gerhard Falkenhorst (G)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Isabella Kumpf (I)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Maren Enßle (M)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Andreas Hicketier (A)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Achim Dörre (A)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Klaus Stark (K)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Hendrik Wilking (H)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Classifications MeSH