Staphylococcus aureus antimicrobial susceptibility trends and cluster detection in Vermont: 2012-2018

Stelling, John; Read, Jennifer S.; Peters, Rob; Clark, Adam; Bokhari, Marissa; O’Brien, Thomas F.

doi:10.1080/14787210.2021.1845653

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the multinomial scan statistic is commonly used for the purposes of detecting geographic areas with unusually high distributions of specific disease or event types. The multinomial scan statistic has been used to clarify categorical distributions in a variety of contexts, including the distribution of meningitis types (26), multiresistance phenotypes of Staphylococcus aureus (27), and methods of suicide (28). To the best of our knowledge, the use of multinomial scan statistic to quantitatively assess the categorical distribution of SARS-CoV-2 variants among total COVID-19 cases has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal analyses illuminate the competitive advantage of a SARS-CoV-2 variant of concern over a variant of interest

Russell

O’Connor

Lasek‐Nesselquist

et al. 2021

Preprint

View full text Add to dashboard Cite

The emergence of novel SARS-CoV-2 variants in late 2020 and early 2021 raised alarm worldwide and prompted reassessment of the management, surveillance, and projected future of COVID-19. Mutations that confer competitive advantages by increasing transmissibility or immune evasion have been associated with the localized dominance of single variants. Thus, elucidating the evolutionary and epidemiological dynamics among novel variants is essential for understanding the trajectory of the COVID-19 pandemic. Here we show the interplay between B.1.1.7 (Alpha) and B.1.526 (Iota) in New York (NY) from December 2020 to April 2021 through phylogeographic analyses, space-time scan statistics, and cartographic visualization. Our results indicate that B.1.526 likely evolved in the Bronx in late 2020, providing opportunity for an initial foothold in the heavily interconnected New York City (NYC) region, as evidenced by numerous exportations to surrounding locations. In contrast, B.1.1.7 became dominant in regions of upstate NY where B.1.526 had limited presence, suggesting that B.1.1.7 was able to spread more efficiently in the absence of B.1.526. Clusters discovered from the spatial-time scan analysis supported the role of competition between B.1.526 and B.1.1.7 in NYC in March 2021 and the outsized presence of B.1.1.7 in upstate NY in April 2021. Although B.1.526 likely delayed the rise of B.1.1.7 in NYC, B.1.1.7 became the dominant variant in the Metro region by the end of the study period. These results reveal the advantages endemicity may grant to a variant (founder effect), despite the higher fitness of an introduced lineage. Our research highlights the dynamics of inter-variant competition at a time when B.1.617.2 (Delta) is overtaking B.1.1.7 as the dominant lineage worldwide. We believe our combined spatiotemporal methodologies can disentangle the complexities of shifting SARS-CoV-2 variant landscapes at a time when the evolution of variants with additional fitness advantages is impending.

show abstract

Section: Introductionmentioning

confidence: 99%