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ABSTRACT: Introduction
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic revealed a worldwide lack of effective molecular surveillance networks at local, state, and national levels, which are essential to identify, monitor, and limit viral community spread. SARS-CoV-2 variants of concern (VOCs) such as Alpha and Omicron, which show increased transmissibility and immune evasion, rapidly became dominant VOCs worldwide. Our objective was to develop an evidenced-based genomic surveillance algorithm, combining reverse transcription polymerase chain reaction (RT-PCR) and sequencing technologies to quickly identify highly contagious VOCs, before cases accumulate exponentially.Methods
Deidentified data were obtained from 508,969 patients tested for coronavirus disease
SUBMITTER: Guerrero-Preston R
PROVIDER: S-EPMC9092005 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature