Selected article for: "characterization identification and SARS cov"

Author: Chen, Chaoran; Nadeau, Sarah Ann; Yared, Michael; Voinov, Philippe; Stadler, Tanja
Title: CoV-Spectrum: Analysis of globally shared SARS-CoV-2 data to Identify and Characterize New Variants
  • Cord-id: tnx55tfq
  • Document date: 2021_6_15
  • ID: tnx55tfq
    Snippet: The CoV-Spectrum website brings together SARS-CoV-2 data from different sources, applies analyses, and presents the results in interactive and easy shareable plots. Results include the proportion of variants over time, demographic and geographic distributions, hospitalization and death probabilities, estimates for transmission fitness advantage, insights obtained from wastewater samples, and general information and references about SARS-CoV-2 variants. The platform supports the rapid identificat
    Document: The CoV-Spectrum website brings together SARS-CoV-2 data from different sources, applies analyses, and presents the results in interactive and easy shareable plots. Results include the proportion of variants over time, demographic and geographic distributions, hospitalization and death probabilities, estimates for transmission fitness advantage, insights obtained from wastewater samples, and general information and references about SARS-CoV-2 variants. The platform supports the rapid identification and characterization of variants of concern by monitoring variants around the world. CoV-Spectrum is available at https://cov-spectrum.ethz.ch. It is open-source, the code is hosted on \https://github.com/cevo-public/cov-spectrum-website.

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