Beyond traditional outbreak investigation: Using genomic data for enhanced detection of COVID-19 disease clusters in Utah.

Abstract excerpt

BACKGROUND: Traditional disease surveillance, such as manual case investigation, was the primary method for identifying disease clusters during the COVID-19 pandemic. However, the pandemic also provides an opportunity to explore how genomic data can be used to improve cluster detection and response. While genomic data can complement traditional methods, guidelines are needed to integrate genomic data into...

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• Cluster Analysis
• Clustering Algorithms
• COVID-19
• Disease Outbreaks
• Genomics