The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/nextstrain-hcov-19 .

Product Description

Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. They provide a continually-updated view of publicly available data with powerful analytics and visualizations showing pathogen evolution and epidemic spread. Their goal is to aid epidemiological understanding and improve outbreak response.

This phylogeny shows evolutionary relationships of hCoV-19 (or SARS-CoV-2) viruses from the ongoing novel coronavirus COVID-19 pandemic. This phylogeny shows an initial emergence in Wuhan, China, in Nov-Dec 2019 followed by sustained human-to-human transmission leading to sampled infections. Although the genetic relationships among sampled viruses are quite clear, there is considerable uncertainty surrounding estimates of specific transmission dates and in reconstruction of geographic spread. Please be aware that specific inferred transmission patterns are only a hypothesis.

Data Source

This resource contains JSON tree data files (global, North America, Europe, Asia, Oceania and Afria) offering genetic analysis of the geographic spread of hCoV-19 (or SARS-CoV-2) viruses.

For more information of this dataset, please visit the follow blog post from the Nextstrain team and documentation on Nexstrain's website - both listed below:

Blog | Nextstrain build for novel coronavirus SARS-CoV-2 

Nextstrain Docs | Analysis and Visualization of Pathogen Sequence Data 

Nextstrain Docs | Format of Files Used and Created by Augur 

More Information

• Source: Nexstrain | Genomic epidemiology of novel coronavirus - Global subsampling 
• Nexstrain | Homepage 
• GitHub | nextstrain/ncov 
• Frequency: Daily
• Format: JSON

Contact Details

• If you find any issues or have enhancements with this product, open up a GitHub issue  and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
• If you are interested in any other open datasets, please create a request on our project board here .
• If you have questions about this source data, please contact Nextstain at hello@nextstrain.org.
• If you have any other questions or feedback, send us an email at data@rearc.io.

About Rearc

Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.