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Quantifying SARS-CoV-2 spread in Switzerland based on genomic sequencing data

Authors :
Elodie Burcklen
Tanja Stadler
Verena Kufner
Alfredo Mari
Samuel Cordey
Sarah Nadeau
Mitchell P. Levesque
Tobias Schaer
Michael Huber
Susana Posada-Cespedes
Richard A. Neher
Pedro Ferreira
Julia M. Martinez-Gomez
Adrian Egli
Emma B. Hodcroft
Christoph Noppen
Alexandra Trkola
Helena M.B. Seth-Smith
Timothy G. Vaughan
Christian Beisel
Ina Nissen
Olivier Kobel
Kim Philipp Jablonski
Niko Beerenwinkel
Philipp P. Bosshard
Ivan Topolsky
Madlen Stange
Natascha Santacroce
Ana Rita Gonçalves
Christiane Beckmann
Tim Roloff
Maryam Zaheri
Hans H. Hirsch
Sophie Seidel
Phil F. Cheng
Stefan Schmutz
Karoline Leuzinger
Maurice Redondo
Vincenzo Capece
Noemi Santamaria de Souza
Florian Laubscher
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Pathogen genomes provide insights into their evolution and epidemic spread. We sequenced 1,439 SARS-CoV-2 genomes from Switzerland, representing 3-7% of all confirmed cases per week. Using these data, we demonstrate that no one lineage became dominant, pointing against evolution towards general lower virulence. On an epidemiological level, we report no evidence of cryptic transmission before the first confirmed case. We find many early viral introductions from Germany, France, and Italy and many recent introductions from Germany and France. Over the summer, we quantify the number of non-traceable infections stemming from introductions, quantify the effective reproductive number, and estimate the degree of undersampling. Our framework can be applied to quantify evolution and epidemiology in other locations or for other pathogens based on genomic data.One Sentence SummaryWe quantify SARS-CoV-2 spread in Switzerland based on genome sequences from our nation-wide sequencing effort.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........48b739bb7e5f48c513836e38d4302eb2
Full Text :
https://doi.org/10.1101/2020.10.14.20212621