Objective To adapt ‘fishplots’ to describe real-time evolution of SARS-CoV-2 genomic clusters. Results This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions on the emergence, spread and eventual elimination of clusters and distilled genomic data into clear information to inform public health action. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-021-05827-x.
All Keywords
【저자키워드】 SARS-CoV-2, bioinformatics, Australia, Whole genome sequencing, Genomic epidemiology, 【초록키워드】 public health, Intervention, Spread, Effectiveness, Clusters, Evolution of SARS-CoV-2, Cluster, information, genomic, Analysis, supplementary material, genomic data, South, circulating, objective, Result, New, 【제목키워드】 COVID-19, Cluster, South, New, Documenting,
【저자키워드】 SARS-CoV-2, bioinformatics, Australia, Whole genome sequencing, Genomic epidemiology, 【초록키워드】 public health, Intervention, Spread, Effectiveness, Clusters, Evolution of SARS-CoV-2, Cluster, information, genomic, Analysis, supplementary material, genomic data, South, circulating, objective, Result, New, 【제목키워드】 COVID-19, Cluster, South, New, Documenting,