SARS-CoV-2 genome data analysis points to efficiency of Swiss public health measures in 2020

A large-scale study led by researchers from the group of Tanja Stadler shows the extent to which measures taken at the start of the pandemic in 2020 slowed the spread of the virus in the population. The quantitative analysis used a representative subset of over 11’000 sequenced coronavirus genomes from COVID19 patients in Switzerland and compared viral introductions to Switzerland at the point of border closures and beyond with a scenario where certain public health measures were absent.

Find original article in Science Translational Medicine:

Nadeau, S A, T G Vaughan, et al. (2022) external pageSwiss public health measures associated with reduced SARS-CoV-2 transmission using genome data. Science Translational Medicine 15, DOI: 10.1126/scitranslmed.abn7979


Learn about research of the Computational Evolution group led by Tanja Stadler.

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