Quantifying SARS-CoV-2 spread in Switzerland based on genomic sequencing data
| Autor: | Nadeau, Sarah Ann, Beckmann, Christiane, Topolsky, Ivan, Vaughan, Timothy, Hodcroft, Emma, Schär, Tobias, Nissen, Ina, Santacroce, Natascha, Burcklen, Elodie, Ferreira, Pedro, Jablonski, Kim Philipp, Posada Cespedes, Susana, Capece, Vincenzo, Seidel, Sophie, Santamaria de Souza, Noemi, Martinez-Gomez, Julia M., Cheng, Phil, Bosshard, Philipp P., Levesque, Mitchell P., Kufner, Verena, Schmutz, Stefan, Zaheri, Maryam, Huber, Michael, Trkola, Alexandra, Cordey, Samuel, Laubscher, Florian, Gonçalves, Ana Rita, Leuzinger, Karoline, Stange, Madlen, Mari, Alfredo, Roloff, Tim, Seth-Smith, Helena, Hirsch, Hans H., Egli, Adrian, Redondo, Maurice, Kobel, Oliver, Noppen, Christoph, Beerenwinkel, Niko, Neher, Richard A., Beisel, Christian, Stadler, Tanja |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Zdroj: | medRxiv |
| DOI: | 10.3929/ethz-b-000528526 |
| Popis: | 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. medRxiv |
| Databáze: | OpenAIRE |
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