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Genomic epidemiology of superspreading events in Austria reveals mutational dynamics and transmission properties of SARS-CoV-2

Alexandra Popa, Jakob‐Wendelin Genger, Michael D. Nicholson, Thomas Penz, Daniela Schmid, Stephan W. Aberle, Benedikt Agerer, Alexander Lercher, Lukas Endler, Henrique G. Colaço, Mark Smyth, Michael Schuster, Miguel L. Grau, Francisco Martínez-Jiménez, Oriol Pich, Wegene Borena, Erich Pawelka, Zsofia Keszei, Martin Senekowitsch, Jan Laine, Judith H. Aberle, Monika Redlberger‐Fritz, Mario Karolyi, Alexander Zoufaly, Sabine Maritschnik, Martin Borkovec, Peter Hufnagl, Manfred Nairz, Günter Weiß, Michael T. Wolfinger, Dorotheé von Laer, Giulio Superti‐Furga, Núria López-Bigas, Elisabeth Puchhammer‐Stöckl, Franz Allerberger, Franziska Michor, Christoph Bock, Andreas Bergthaler

2020Science Translational Medicine259 citationsDOIOpen Access PDF

Abstract

SARS-CoV-2 particles. In conclusion, this study illustrates the power of combining epidemiological analysis with deep viral genome sequencing to unravel the spread of SARS-CoV-2 and to gain fundamental insights into mutational dynamics and transmission properties.

Topics & Concepts

Transmission (telecommunications)BiologyVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicCoronavirusViral evolutionDeep sequencingCoronavirus disease 2019 (COVID-19)GenomeGeneticsComputational biologyDiseaseInfectious disease (medical specialty)MedicineGeneComputer sciencePathologyTelecommunicationsSARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesSARS-CoV-2 detection and testing
Genomic epidemiology of superspreading events in Austria reveals mutational dynamics and transmission properties of SARS-CoV-2 | Litcius