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q-bio.PE

Can AI agents predict how people behave during epidemics?

Petra Ferenz, Ava Keeling, Tobias O'Keefe, Lorenzo Stigliano, Francesco Di Lauro, Andres Colubri, Jasmina Panovska-Griffiths

June 1, 2026

Scientists built a simulation where AI agents navigate an epidemic while deciding whether to quarantine, comparing their choices to real people playing a pandemic game. AI agents reduced peak infections by 58-65%, with perceived disease severity driving quarantine decisions—matching human behavior patterns. The framework could let epidemiologists test intervention strategies without risking real outbreaks.
Published as The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based models arXiv:2606.02867
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