Graph Databases: A Potent Tool For Coronavirus Modeling
Graph databases are excellent at modeling interactions between people. This quality also makes graph databases a particularly effective tool for tracing the physical pathways along which viruses like Covid-19 travel through populations. Alex Woodie filed this report...
Fighting COVID-19 Puts Big Data’s Strengths, and Limitations, On Display
Since the SARS outbreak, advances in analytics and technology have supplied us with powerful tools that can help identify and contain viruses like COVID-19. But even the best tech and data have their limitations. Paul Dempsey writes for Engineering & Technology:...
Taiwan Uses Data Lessons From SARS To Battle COVID-19
Taiwan took to heart its hard-earned lessons from the SARS outbreak and is now one of the success stories in the struggle against COVID-19. Beth Duff-Brown writes for Stanford Health Policy: Stanford Health Policy’s Jason Wang, MD, PhD, an associate professor of...
Global Digital Collaboration Key to Squashing Viral Threats
The open sharing of data on the internet and the quick collective response of scientists all over the globe have revolutionized the way we now contend with the threat of pandemics. Shelly Fan filed this report for Singularity Hub: A virus’s genetic blueprint is the...
Epidemiologists Use Lessons From Weather Forecasters to Model Flu Spread
The weather forecast is notoriously unreliable. But with the aid of better data sources and analytics, they have become much more accurate in the short term than they used to be. Epidemiologists who model the spread of flu face some of the same challenges. And...Listen to Our Civic Development Podcast!
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