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Tracing SARS-CoV-2 Clusters Across Local-scales Using Genomic Data

2024-09-22 infectious diseases Title + abstract only
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Quantitatively understanding local transmission dynamics is essential for designing effective prevention strategies. In this study, we developed a novel algorithm to identify introductions and trace locally circulating clusters. We analyzed over 26,000 SARS-CoV-2 genomes and their associated metadata, collected between January and October 2021, to explore introduction and dispersal patterns in Greater Houston, a major metropolitan area known for its demographic diversity. Our analysis identified...

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