A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes...

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Veröffentlicht in:	Genome medicine Jg. 13; H. 1; S. 1 - 17
Hauptverfasser:	Murall, Carmen Lía, Fournier, Eric, Galvez, Jose Hector, N’Guessan, Arnaud, Reiling, Sarah J., Quirion, Pierre-Olivier, Naderi, Sana, Roy, Anne-Marie, Chen, Shu-Huang, Stretenowich, Paul, Bourgey, Mathieu, Bujold, David, Gregoire, Romain, Lepage, Pierre, St-Cyr, Janick, Willet, Patrick, Dion, Réjean, Charest, Hugues, Lathrop, Mark, Roger, Michel, Bourque, Guillaume, Ragoussis, Jiannis, Shapiro, B. Jesse, Moreira, Sandrine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 28.10.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Analysis Bioinformatics Biomedical and Life Sciences Biomedicine Canada Cancer Research Consortia Contact tracing Coronavirus Resource Coronaviruses COVID-19 Diagnostic tests Disease transmission Epidemics Epidemiology Evolution & development Genomes Genomics Health aspects Human Genetics Laboratories Long term health care Medicine/Public Health Metabolomics Mutation Pandemics Phylogenetics Phylogeny Protocol Public health Quarantine Quebec Severe acute respiratory syndrome coronavirus 2 Systems Biology Travel Travel restrictions Travellers United Kingdom Viruses Canada United Kingdom Quebec United States > US Massachusetts Quebec Canada
ISSN:	1756-994X, 1756-994X
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Abstract	Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province. Methods Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus. Results Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and “snowbird” destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7–12 led to the largest transmission lineages of the first wave (accounting for 52–75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order. Conclusions Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains.
AbstractList	Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province. Methods Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus. Results Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and “snowbird” destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7–12 led to the largest transmission lineages of the first wave (accounting for 52–75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order. Conclusions Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains. Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province.BACKGROUNDQuébec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province.Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus.METHODSUsing genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus.Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and "snowbird" destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7-12 led to the largest transmission lineages of the first wave (accounting for 52-75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order.RESULTSConservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and "snowbird" destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7-12 led to the largest transmission lineages of the first wave (accounting for 52-75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order.Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains.CONCLUSIONSCombined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains. Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province. Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus. Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and "snowbird" destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7-12 led to the largest transmission lineages of the first wave (accounting for 52-75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order. Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains. Abstract Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province. Methods Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus. Results Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and “snowbird” destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7–12 led to the largest transmission lineages of the first wave (accounting for 52–75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order. Conclusions Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains. Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first pandemic wave. In April 2020, we assembled the Coronavirus Sequencing in Québec (CoVSeQ) consortium to sequence SARS-CoV-2 genomes in Québec to track viral introduction events and transmission within the province. Methods Using genomic epidemiology, we investigated the arrival of SARS-CoV-2 to Québec. We report 2921 high-quality SARS-CoV-2 genomes in the context of > 12,000 publicly available genomes sampled globally over the first pandemic wave (up to June 1st, 2020). By combining phylogenetic and phylodynamic analyses with epidemiological data, we quantify the number of introduction events into Québec, identify their origins, and characterize the spatiotemporal spread of the virus. Results Conservatively, we estimated approximately 600 independent introduction events, the majority of which happened from spring break until 2 weeks after the Canadian border closed for non-essential travel. Subsequent mass repatriations did not generate large transmission lineages (> 50 sequenced cases), likely due to mandatory quarantine measures in place at the time. Consistent with common spring break and “snowbird” destinations, most of the introductions were inferred to have originated from Europe via the Americas. Once introduced into Québec, viral lineage sizes were overdispersed, with a few lineages giving rise to most infections. Consistent with founder effects, the earliest lineages to arrive tended to spread most successfully. Fewer than 100 viral introductions arrived during spring break, of which 7–12 led to the largest transmission lineages of the first wave (accounting for 52–75% of all sequenced infections). These successful transmission lineages dispersed widely across the province. Transmission lineage size was greatly reduced after March 11th, when a quarantine order for returning travellers was enacted. While this suggests the effectiveness of early public health measures, the biggest transmission lineages had already been ignited prior to this order. Conclusions Combined, our results reinforce how, in the absence of tight travel restrictions or quarantine measures, fewer than 100 viral introductions in a week can ensure the establishment of extended transmission chains.
ArticleNumber	169
Audience	Academic
Author	Bujold, David Bourque, Guillaume Gregoire, Romain St-Cyr, Janick N’Guessan, Arnaud Naderi, Sana Bourgey, Mathieu Moreira, Sandrine Reiling, Sarah J. Murall, Carmen Lía Stretenowich, Paul Willet, Patrick Lathrop, Mark Charest, Hugues Shapiro, B. Jesse Galvez, Jose Hector Roy, Anne-Marie Ragoussis, Jiannis Fournier, Eric Chen, Shu-Huang Dion, Réjean Lepage, Pierre Quirion, Pierre-Olivier Roger, Michel
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Cites_doi	10.1093/molbev/msz240 10.1038/s41467-020-20880-z 10.1016/j.jcv.2020.104433 10.1093/molbev/mst010 10.1093/molbev/msu300 10.1016/j.jtbi.2005.08.037 10.1186/s13059-020-02191-0 10.1186/s13059-019-1727-y 10.1038/s41564-020-0770-5 10.1038/s41586-021-03361-1 10.1002/cpbi.96 10.1371/journal.pcbi.1006650 10.1126/science.abe3261 10.21105/joss.01686 10.1126/science.abf2946 10.1093/genetics/123.3.585 10.1093/ve/veaa061 10.1093/bioinformatics/bty407 10.1093/bioinformatics/btq706 10.1016/j.jtbi.2012.08.005 10.1093/ve/vex042 10.1093/bioinformatics/bty191 10.1186/s13059-018-1618-7 10.1038/s41564-020-00838-z 10.1126/science.abg3055 10.1093/ve/vew007 10.1126/science.abc1917 10.1101/2021.04.09.21255131 10.1126/science.abf3995 10.1126/science.abc8169 10.1101/2021.01.04.20232520 10.1111/j.2041-210X.2011.00169.x 10.1093/bioinformatics/bty633 10.1016/j.epidem.2017.04.004 10.1016/j.ijid.2020.10.046 10.1038/s41586-020-2008-3 10.21105/joss.02906 10.1093/bioinformatics/btv098 10.1093/gigascience/giab008 10.1016/j.cell.2020.11.020 10.1016/j.cell.2020.06.040 10.1101/015552 10.1093/molbev/msn005 10.1126/science.abc0523 10.1101/2021.03.15.21253590 10.14806/ej.17.1.200 10.1101/2020.03.12.988246
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References	S Duchene (986_CR52) 2020; 6 AB Komissarov (986_CR3) 2021; 12 K Bartoszek (986_CR37) 2012; 314 986_CR50 F Wu (986_CR21) 2020; 579 986_CR51 T Bedford (986_CR7) 2020; 370 986_CR9 J Charlesworth (986_CR54) 2008; 25 986_CR11 H Wickham (986_CR41) 2019; 4 H Li (986_CR28) 2018; 34 A Rambaut (986_CR12) 2020; 5 986_CR13 986_CR15 LJ Revell (986_CR39) 2012; 3 986_CR59 986_CR16 P Sagulenko (986_CR34) 2018; 4 986_CR18 A Godin (986_CR17) 2021; 102 986_CR19 L-G Wang (986_CR43) 2020; 37 986_CR6 ND Grubaugh (986_CR57) 2020; 182 986_CR5 986_CR60 A Tarasov (986_CR24) 2015; 31 986_CR20 986_CR22 K Katoh (986_CR32) 2013; 30 A Rambaut (986_CR44) 2016; 2 986_CR26 986_CR29 RR Wick (986_CR27) 2019; 20 KP Schliep (986_CR40) 2011; 27 G Yu (986_CR42) 2020; 69 MA Martin (986_CR1) 2021; 371 B Shingler (986_CR47) 2020 986_CR31 K Kim (986_CR49) 2017; 21 E Volz (986_CR10) 2021; 184 L-T Nguyen (986_CR33) 2015; 32 M Worobey (986_CR8) 2020; 370 J Hadfield (986_CR30) 2018; 34 J McKenzie (986_CR55) 2020 AS Gonzalez-Reiche (986_CR56) 2020; 369 JJ LeBlanc (986_CR14) 2020; 128 F Tajima (986_CR46) 1989; 123 MR Garvin (986_CR58) 2020; 21 J Zhang (986_CR38) 2017 R Bouckaert (986_CR45) 2019; 15 M Martin (986_CR23) 2011; 17 ND Grubaugh (986_CR25) 2019; 20 L du Plessis (986_CR2) 2021; 371 R Development Core Team (986_CR35) 2011 986_CR48 E Paradis (986_CR36) 2019; 35 FA da Silva (986_CR4) 2021; 6 EP Rocha (986_CR53) 2006; 239
References_xml	– volume: 37 start-page: 599 issue: 2 year: 2020 ident: 986_CR43 publication-title: Mol Biol Evol doi: 10.1093/molbev/msz240 – volume: 12 start-page: 649 issue: 1 year: 2021 ident: 986_CR3 publication-title: Nat Commun doi: 10.1038/s41467-020-20880-z – volume: 128 start-page: 104433 year: 2020 ident: 986_CR14 publication-title: J Clin Virol doi: 10.1016/j.jcv.2020.104433 – volume: 30 start-page: 772 issue: 4 year: 2013 ident: 986_CR32 publication-title: Mol Biol Evol doi: 10.1093/molbev/mst010 – volume: 32 start-page: 268 issue: 1 year: 2015 ident: 986_CR33 publication-title: Mol Biol Evol doi: 10.1093/molbev/msu300 – volume: 239 start-page: 226 issue: 2 year: 2006 ident: 986_CR53 publication-title: J Theor Biol doi: 10.1016/j.jtbi.2005.08.037 – volume: 21 start-page: 304 issue: 1 year: 2020 ident: 986_CR58 publication-title: Genome Biol doi: 10.1186/s13059-020-02191-0 – volume: 20 start-page: 129 issue: 1 year: 2019 ident: 986_CR27 publication-title: Genome Biol doi: 10.1186/s13059-019-1727-y – ident: 986_CR18 – volume: 5 start-page: 1403 issue: 11 year: 2020 ident: 986_CR12 publication-title: Nat Microbiol doi: 10.1038/s41564-020-0770-5 – ident: 986_CR11 doi: 10.1038/s41586-021-03361-1 – volume: 69 start-page: e96 issue: 1 year: 2020 ident: 986_CR42 publication-title: Curr Protoc Bioinformatics doi: 10.1002/cpbi.96 – volume: 15 start-page: e1006650 issue: 4 year: 2019 ident: 986_CR45 publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1006650 – ident: 986_CR5 doi: 10.1126/science.abe3261 – volume: 4 start-page: 1686 issue: 43 year: 2019 ident: 986_CR41 publication-title: J Open Source Softw doi: 10.21105/joss.01686 – volume-title: COVID-19 in Quebec: Staying away from seniors’ homes a matter of “life or death,” Legault says. CBC News [Internet] year: 2020 ident: 986_CR47 – volume: 371 start-page: 708 issue: 6530 year: 2021 ident: 986_CR2 publication-title: Science. doi: 10.1126/science.abf2946 – volume: 123 start-page: 585 issue: 3 year: 1989 ident: 986_CR46 publication-title: Genetics. doi: 10.1093/genetics/123.3.585 – volume: 6 start-page: veaa061 issue: 2 year: 2020 ident: 986_CR52 publication-title: Virus Evol doi: 10.1093/ve/veaa061 – volume: 34 start-page: 4121 issue: 23 year: 2018 ident: 986_CR30 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/bty407 – volume: 27 start-page: 592 issue: 4 year: 2011 ident: 986_CR40 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/btq706 – volume: 314 start-page: 204 year: 2012 ident: 986_CR37 publication-title: J Theor Biol doi: 10.1016/j.jtbi.2012.08.005 – volume: 4 start-page: vex042 issue: 1 year: 2018 ident: 986_CR34 publication-title: Virus Evol doi: 10.1093/ve/vex042 – volume: 34 start-page: 3094 issue: 18 year: 2018 ident: 986_CR28 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/bty191 – volume: 20 start-page: 1 issue: 1 year: 2019 ident: 986_CR25 publication-title: Genome Biol doi: 10.1186/s13059-018-1618-7 – ident: 986_CR50 – volume-title: Phylogenetic Tools for Eco-Phylogenetics [R package phylotools version 0.2.2] year: 2017 ident: 986_CR38 – volume: 6 start-page: 112 issue: 1 year: 2021 ident: 986_CR4 publication-title: Nat Microbiol doi: 10.1038/s41564-020-00838-z – ident: 986_CR13 doi: 10.1126/science.abg3055 – ident: 986_CR48 – volume: 2 start-page: vew007 issue: 1 year: 2016 ident: 986_CR44 publication-title: Virus Evol doi: 10.1093/ve/vew007 – volume: 369 start-page: 297 issue: 6501 year: 2020 ident: 986_CR56 publication-title: Science. doi: 10.1126/science.abc1917 – ident: 986_CR51 doi: 10.1101/2021.04.09.21255131 – volume: 371 start-page: 466 issue: 6528 year: 2021 ident: 986_CR1 publication-title: Science. doi: 10.1126/science.abf3995 – volume: 370 start-page: 564 issue: 6516 year: 2020 ident: 986_CR8 publication-title: Science. doi: 10.1126/science.abc8169 – ident: 986_CR59 – ident: 986_CR6 doi: 10.1101/2021.01.04.20232520 – volume: 3 start-page: 217 issue: 2 year: 2012 ident: 986_CR39 publication-title: Methods Ecol Evol doi: 10.1111/j.2041-210X.2011.00169.x – volume: 35 start-page: 526 issue: 3 year: 2019 ident: 986_CR36 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/bty633 – volume: 21 start-page: 21 year: 2017 ident: 986_CR49 publication-title: Epidemics. doi: 10.1016/j.epidem.2017.04.004 – ident: 986_CR16 – volume: 102 start-page: 254 year: 2021 ident: 986_CR17 publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2020.10.046 – volume: 579 start-page: 265 issue: 7798 year: 2020 ident: 986_CR21 publication-title: Nature. doi: 10.1038/s41586-020-2008-3 – ident: 986_CR31 doi: 10.21105/joss.02906 – volume: 31 start-page: 2032 issue: 12 year: 2015 ident: 986_CR24 publication-title: Bioinformatics. doi: 10.1093/bioinformatics/btv098 – ident: 986_CR26 doi: 10.1093/gigascience/giab008 – ident: 986_CR60 – volume: 184 start-page: 64 issue: 1 year: 2021 ident: 986_CR10 publication-title: Cell doi: 10.1016/j.cell.2020.11.020 – ident: 986_CR22 – volume: 182 start-page: 794 issue: 4 year: 2020 ident: 986_CR57 publication-title: Cell. doi: 10.1016/j.cell.2020.06.040 – ident: 986_CR29 doi: 10.1101/015552 – volume: 25 start-page: 1007 issue: 6 year: 2008 ident: 986_CR54 publication-title: Mol Biol Evol doi: 10.1093/molbev/msn005 – volume-title: Quebec man files suit after 69 residents die of COVID-19 at care home [Internet]. Global News year: 2020 ident: 986_CR55 – volume: 370 start-page: 571 issue: 6516 year: 2020 ident: 986_CR7 publication-title: Science. doi: 10.1126/science.abc0523 – ident: 986_CR19 – ident: 986_CR15 – ident: 986_CR9 doi: 10.1101/2021.03.15.21253590 – volume-title: R: A language and environment for statistical computing. R Foundation for Statistical Computing year: 2011 ident: 986_CR35 – volume: 17 start-page: 10 issue: 1 year: 2011 ident: 986_CR23 publication-title: EMBnet J doi: 10.14806/ej.17.1.200 – ident: 986_CR20 doi: 10.1101/2020.03.12.988246
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Snippet	Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very... Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very... Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to a very severe first... Abstract Background Québec was the Canadian province most impacted by COVID-19, with 401,462 cases as of September 24th, 2021, and 11,347 deaths due mostly to...
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SubjectTerms	Analysis Bioinformatics Biomedical and Life Sciences Biomedicine Canada Cancer Research Consortia Contact tracing Coronavirus Resource Coronaviruses COVID-19 Diagnostic tests Disease transmission Epidemics Epidemiology Evolution & development Genomes Genomics Health aspects Human Genetics Laboratories Long term health care Medicine/Public Health Metabolomics Mutation Pandemics Phylogenetics Phylogeny Protocol Public health Quarantine Quebec Severe acute respiratory syndrome coronavirus 2 Systems Biology Travel Travel restrictions Travellers United Kingdom Viruses
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Title	A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada
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