The COVID-19 pandemic has spread rapidly across the world, forcing governments to imposing travel bans, quarantine laws, business and school closings, and many other restrictions in efforts to contain the virus and limit the spread. There is an urgent need for scientists around the world to work together to model the virus, study how the virus has changed and will change over time, understand how it spreads, and discover a vaccine.
The COVID-19 Data Archive (COVID-ARC) is a repository for multimodal (i.e., demographic information, clinical outcome reports, imaging scans) and longitudinal data related to COVID-19. This archive provides access to data along with user-friendly tools for researchers to perform analyses to better understand COVID-19 and encourage collaboration on this research. The work from this project can also prepare scientists for future pandemics by putting the infrastructure in place to enable researchers to aggregate data and perform analyses quickly in the event of an emergency.
http://https://www.youtube.com/watch?v=AxGQz1H7X64
This work is supported by the National Science Foundation, award number 2027456.
For more information, please visit https://covid-arc.loni.usc.edu/.
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