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.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date