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Math Could Stop the Next Pandemic, Not Borders

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Math Could Stop the Next Pandemic, Not Borders
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The Gist

“Understanding complex networks and using math could help stop the next pandemic, rather than relying on closing borders, according to University of Virginia data science professor YY Ahn. By identifying the source of a disease outbreak and containing it before it spreads globally, math can play a crucial role in preventing widespread illness.”

According to University of Virginia data science professor YY Ahn, understanding complex networks and using math could help stop the next pandemic, rather than relying on closing borders. Ahn's research focuses on network science, which can help identify the source of a disease outbreak and contain it before it spreads globally.

Key Insights

Network science can help understand the spread of diseases through complex systems, and controlling a disease outbreak at its source is crucial to preventing its global spread. Additionally, closing borders is not an effective way to stop the spread of diseases, as it only delays the arrival of the disease elsewhere, highlighting the importance of a math-based approach to pandemic prevention.

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