Author: Zhengqiao Zhao; Bahrad A. Sokhansanj; Gail L. Rosen
Title: Characterizing geographical and temporal dynamics of novel coronavirus SARS-CoV-2 using informative subtype markers Document date: 2020_4_9
ID: 9sk11214_33
Snippet: Our approach, like all sequence-based interpretation of the COVID-19 pandemic, is further limited in that 471 the depth of sequencing within different regions is highly variable. As an extreme case, Iceland, which has a 472 small population, represents nearly 9% of all sequences in the complete data set. Italy, on the other hand, 473 had a large and early outbreak but has disproportionately less sequencing coverage. As a result, tracking the 474 .....
Document: Our approach, like all sequence-based interpretation of the COVID-19 pandemic, is further limited in that 471 the depth of sequencing within different regions is highly variable. As an extreme case, Iceland, which has a 472 small population, represents nearly 9% of all sequences in the complete data set. Italy, on the other hand, 473 had a large and early outbreak but has disproportionately less sequencing coverage. As a result, tracking the 474 relative abundances of subtypes across different regions is complicated, because a region that does more is evinced by the results discussed above, which show that the spatiotemporal trends of ISMs are consistent 489 with our general understanding of how the virus has spread, as well as sequence data from travel cases.
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