Table 1 | Summary of A.23.1 data
|Countries with sequences|
|Earliest sample date|
Figure 1 | Cumulative sequence count over time A.23.1
Bars show the number of new sequences on GISAID over time, binned by epi-week. The line shows the cumulative number of sequences over time.
Figure 2 | Date of earliest_A.23.1 detected
Schematic map showing the date of the first sequence sample date in each country containing the lineage. Darker countries have earlier first sample dates.
Figure 3 | Map of A.23.1 sequence counts
Map showing the logged number of sequences of the variant in each country. Countries with more sequences are shown in darker colours.
Figure 4 | Sequence count per country A.23.1
The number of sequences of the lineage recorded in each country. The height of the bar is the logged number and the numbers above the bar are the raw counts.
Figure 5 | Frequency A.23.1 in sequences produced since first new variant reported per country
The overall frequency of the lineage, defined as the number of sequences assigned the lineage divided by the total number of sequences from that country in the time since the variant was first sequenced in that country.
Figure 6 | A.23.1 count per continent
Seven day rolling average of sequence counts per continent. Please note that recent declines may be due to delay in reporting rather than reflecting a change in the underlying virus population.
Figure 7 | Rolling average A.23.1 frequency per continent
Seven day rolling average of frequency of sequences of the lineage of interest. Frequency is calculated by dividing the number of sequences of the lineage of interest by the total sequences for each continent for each day.
|Country||Earliest report||Date local transmission||Local transmission||Method of surveillance||Source|
|Country||Earliest sequence||Number of variant sequences||Total sequences since first variant sequence|
Data source and processing
The data on this page is recent as of 2021-05-19, 10:13 GMT. All SARS-CoV-2 sequences were downloaded from GISAID and genomes were de-duplicated based on GISAID sequence name – note that the publically available metadata may not fully allow us to de-duplicate by patient. Full data processing pipeline found here. The sequences were then assigned lineages with pangolin 2.3.9, pangoLEARN version 2021-04-21.
Created by: Áine O'Toole and Verity Hill, Rambaut Group, University of Edinburgh. Flight volume data from Kamran Khan, Isaac Bogoch, Alexander Watts, Oliver Pybus, Moritz Kraemer. Sequences sourced from GISAID, full acknowledgements table here.
We have a publication in Wellcome Open Research here describing this web tracker.