Autor: |
Richard A. Neher, Chaoran Chen, Michael Huber, Claire Bertelli, Vincenzo Capece, Maryam Zaheri, Christoph Noppen, Olivier Kobel, Tobias Schaer, Sarah Nadeau, Stefan Schmutz, Mitchell P. Levesque, Ivan Topolsky, Gilbert Greub, Hans H. Hirsch, Niko Beerenwinkel, Christian Beisel, Philipp P. Bosshard, Ina Nissen, Susana Posada-Cespedes, Tim Roloff, Ana Rita Gonçalves, Christiane Beckmann, Maurice Redondo, Damien Jacot, Timothy G. Vaughan, Adrian Egli, Alexandra Trkola, Verena Kufner, Samuel Cordey, Julia M. Martinez-Gomez, Kim Philipp Jablonski, Alfredo Mari, Natascha Santacroce, Pedro Ferreira, Karoline Leuzinger, Madlen Stange, Phil F. Cheng, Noemi Santamaria de Souza, Trestan Pillonel, Emma B. Hodcroft, Sébastien Aeby, Elodie Burcklen, Tanja Stadler, Florian Laubscher, Helena M. B. Seth-Smith, Sophie Seidel |
Rok vydání: |
2021 |
Předmět: |
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Popis: |
Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 SARS-CoV-2 genomes from Switzerland in 2020 - the 6th largest effort globally. Using a representative subset of these data, we estimated viral introductions to Switzerland and their persistence over the course of 2020. We contrast these estimates with simple null models representing the absence of certain public health measures. We show that Switzerland’s border closures de-coupled case introductions from incidence in neighboring countries. Under a simple model, we estimate an 86 - 98% reduction in introductions during Switzerland’s strictest border closures. Furthermore, the Swiss 2020 partial lockdown roughly halved the time for sampled introductions to die out. Finally, we quantified local transmission dynamics once introductions into Switzerland occurred, using a novel phylodynamic model. We find that transmission slowed 35 – 63% upon outbreak detection in summer 2020, but not in fall. This finding may indicate successful contact tracing over summer before overburdening in fall. The study highlights the added value of genome sequencing data for understanding transmission dynamics.One Sentence SummaryPhylogenetic and phylodynamic methods quantify the drop in case introductions and local transmission with implementation of public health measures. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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