Factors influencing SARS-CoV-2 infection rate in Belgian nursing home residents [Peckeu-Abboud et al. 2022]

Epidemiology and Infection published a research article by Peckeu-Abboud on the relationship between nursing home characteristics and the infection rate among residents and staff in Flemish nursing homes. For the first wave, the results indicate an association between residents’ infection rate and the proportion of RVT beds (a proxy for higher levels of resident dependency). The infection rate among residents was also positively associated with staff infection rates. The other nursing home characteristics under investigation did not seem the be associated with resident and staff infection rate during the first wave. 

Full text available via: 

https://www.cambridge.org/core/journals/epidemiology-and-infection/article/factors-influencing-sarscov2-infection-rate-in-belgian-nursing-home-residents-during-the-first-wave-of-covid19-pandemic/5F1F41B2CCA49607A7ED99FD357E5976

 

About HELICON

HELICON is funded by the Belgian Federal Science Policy (BELSPO) through the BRAIN-be 2.0 (2018-2023) programme.

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Information sheet for participants: EN • NL • FR

Project coordinator

Prof. dr. Brecht Devleesschauwer

Sciensano, Department of Epidemiology and Public Health, Service Lifestyle and Chronic Diseases

brecht.devleesschauwer@sciensano.be