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 inScience translational medicine Vol. 15; no. 680; p. eabn7979
Main Authors Nadeau, Sarah A, Vaughan, Timothy G, Beckmann, Christiane, Topolsky, Ivan, Chen, Chaoran, Hodcroft, Emma, Schär, Tobias, Nissen, Ina, Santacroce, Natascha, Burcklen, Elodie, Ferreira, Pedro, Jablonski, Kim Philipp, Posada-Céspedes, 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, Aeby, Sébastien, Pillonel, Trestan, Jacot, Damien, Bertelli, Claire, Greub, Gilbert, Leuzinger, Karoline, Stange, Madlen, Mari, Alfredo, Roloff, Tim, Seth-Smith, Helena, Hirsch, Hans H, Egli, Adrian, Redondo, Maurice, Kobel, Olivier, Noppen, Christoph, du Plessis, Louis, Beerenwinkel, Niko, Neher, Richard A, Beisel, Christian, Stadler, Tanja
Format Journal Article
LanguageEnglish
Published 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.
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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Snippet Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 severe...
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StartPage eabn7979
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
URI https://www.ncbi.nlm.nih.gov/pubmed/36346321
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