Additional file 1 of Introduction and transmission of SARS-CoV-2 lineage B.1.1.7, Alpha variant, in Denmark
Creators: name: Michaelsen, Thomas Y.
name: Bennedbæk, Marc
name: Christiansen, Lasse E.
name: Jørgensen, Mia S. F.
name: Møller, Camilla H.
name: Sørensen, Emil A.
name: Knutsson, Simon
name: Brandt, Jakob
name: Jensen, Thomas B. N.
name: Chiche-Lapierre, Clarisse
name: Collados, Emilio F.
name: Sørensen, Trine
name: Petersen, Celine
name: Le-Quy, Vang
name: Sereika, Mantas
name: Hansen, Frederik T.
name: Rasmussen, Morten
name: Fonager, Jannik
name: Karst, Søren M.
name: Marvig, Rasmus L.
name: Stegger, Marc
name: Sieber, Raphael N.
name: Skov, Robert
name: Legarth, Rebecca
name: Krause, Tyra G.
name: Fomsgaard, Anders
name: Albertsen, Mads
Publisher: name: figshare
Year: 2022
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1. List of Danish COVID-19 Genome Consortium members. Fig. S1. Sequencing rate relative to total number of covid19 cases per week (A), relative testing effort (B), and percent positive (C) for each Danish region across time. The two vertical dashed lines indicate the beginning and end of study period used to infer B.1.1.7 transmissibility, while the non-shaded area shows the period used for phylogenetic analysis. The time outside the study are shaded in grey. Fig. S2. The two vertical dashed lines indicate the beginning and end of study period used to infer B.1.1.7 transmissibility, while the non-shaded area shows the period used for phylogenetic analysis. The time outside the study are shaded in grey. (A) Model predictions from Poisson regression model on daily counts of B.1.1.7 for each region. Dark-grey areas represent 95% CI. (B) Frequency of unique haplotypes across time for each region. Each line represents the weekly count of a unique B.1.1.7 haplotype. The four haplotypes mentioned in the main text are highlighted. Fig. S3. Assessing robustness of inferred introductions from phylogenetic analysis using travel history. (A) and (B) are grouped into introduction lineages that are introduced from abroad and transmission clusters introduced from other Danish regions. (A) shows the number of introduction lineages and transmission clusters with a minimum duration given on the x-axis. (B) shows the percent of introduction lineages and transmission clusters with travel-associated cases before a cutoff day indicated on the x-axis. The cutoff day on x-axis is relative to the first occurrence of the introduction lineage or transmission cluster. Fig. S4. Alternative version of Fig. 4D, showing the origin of introductions across time for each region. The y-axis is scaled to introductions per week per 100,000 inhabitants based on the population size for each region. If there was equal support for multiple regions as origin for an introduction Denmark was used as the origin. Label notDK indicates an introduction from outside Denmark. Only ancestral state changes with a marginal probability &gt;95% were included in the analysis. Table S1. Nucleotide mutations for each of the four haplotypes specifically mentioned in the manuscript.