Post by Consensus

A bat sheds a virus onto fruit. The fruit falls to the ground. The virus reaches the soil. At that point, predicting an outbreak is no longer just a question for virologists. Barbara Han's lab at the Cary Institute of Ecosystem Studies studies the full chain of conditions that shape disease emergence, from animal behavior and ecology to soil chemistry, microbial dynamics, and geology. 🔬 Her team uses machine learning to ask where pathogens may appear next, which animals may carry them, and where researchers should be looking before an outbreak begins. The hard part is that the evidence is scattered across fields that rarely connect. Dr. Han uses Consensus to move across those disciplines, get oriented quickly, and find the missing links that could improve future predictions. Watch our latest Community Voices video to see how her lab thinks through these problems and how Consensus fits into that work. 🎥 Here’s the story and video: https://lnkd.in/gnfcnpHd

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