Article
Version 1
Preserved in Portico This version is not peer-reviewed
Real-Time and Historical Viral Variant Tracking
Version 1
: Received: 1 August 2022 / Approved: 11 August 2022 / Online: 11 August 2022 (06:01:14 CEST)
How to cite: Labadorf, J. Real-Time and Historical Viral Variant Tracking. Preprints 2022, 2022080209. https://doi.org/10.20944/preprints202208.0209.v1 Labadorf, J. Real-Time and Historical Viral Variant Tracking. Preprints 2022, 2022080209. https://doi.org/10.20944/preprints202208.0209.v1
Abstract
Viral variant analysis is a bedrock of the disease surveillance. When combined with temporospatial analysis variant analysis can further the knowledge of disease spread in a study area. This paper suggests a method to perform the analysis in an operational setting which will allow for real-time surveillance of viral variants and allow local public health professionals to rapidly respond to changes in the evolution of the disease. This method includes three main subprocesses: preprocessing, analysis, and rendering. This method can be performed across multiple software platforms. A use case is given in which it was found that this method helped a hospital system understand the spread of SARS-CoV-2 in Northeast, Ohio.
Keywords
cluster analysis; SARS-CoV-2; Variant
Subject
Biology and Life Sciences, Virology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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