Swiss public health measures associated with reduced SARS-CoV-2 transmission using genome data
Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Switzerland in 2020-the sixth largest effort globally. Using a representative...
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Published in | Science translational medicine Vol. 15; no. 680; p. eabn7979 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
25.01.2023
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Abstract | Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Switzerland in 2020-the sixth 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 contrasted these estimates with simple null models representing the absence of certain public health measures. We show that Switzerland's border closures decoupled case introductions from incidence in neighboring countries. Under a simple model, we estimate an 86 to 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. Last, we quantified local transmission dynamics once introductions into Switzerland occurred using a phylodynamic model. We found that transmission slowed 35 to 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. |
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AbstractList | Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Switzerland in 2020-the sixth 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 contrasted these estimates with simple null models representing the absence of certain public health measures. We show that Switzerland's border closures decoupled case introductions from incidence in neighboring countries. Under a simple model, we estimate an 86 to 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. Last, we quantified local transmission dynamics once introductions into Switzerland occurred using a phylodynamic model. We found that transmission slowed 35 to 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. |
Author | Laubscher, Florian Noppen, Christoph Roloff, Tim du Plessis, Louis Chen, Chaoran Stadler, Tanja Beisel, Christian Levesque, Mitchell P Pillonel, Trestan Hirsch, Hans H Beerenwinkel, Niko Martinez-Gomez, Julia M Mari, Alfredo Jablonski, Kim Philipp Kobel, Olivier Burcklen, Elodie Trkola, Alexandra Egli, Adrian Seth-Smith, Helena Schär, Tobias Ferreira, Pedro Posada-Céspedes, Susana Neher, Richard A Nissen, Ina Gonçalves, Ana Rita Leuzinger, Karoline Zaheri, Maryam Beckmann, Christiane Topolsky, Ivan Santacroce, Natascha Cordey, Samuel Aeby, Sébastien Hodcroft, Emma Seidel, Sophie Stange, Madlen Santamaria de Souza, Noemi Jacot, Damien Bosshard, Philipp P Greub, Gilbert Kufner, Verena Schmutz, Stefan Nadeau, Sarah A Cheng, Phil Bertelli, Claire Huber, Michael Vaughan, Timothy G Capece, Vincenzo Redondo, Maurice |
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SubjectTerms | Communicable Disease Control COVID-19 - genetics Genome, Viral - genetics Humans Phylogeny Public Health SARS-CoV-2 - genetics Switzerland - epidemiology |
Title | Swiss public health measures associated with reduced SARS-CoV-2 transmission using genome data |
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