Key result
Influenza surveillance data show weak chaos with a largest Lyapunov exponent of ~0.001.
No abstract yet. The journal hasn't published one we can show.
No takes yet. Share an insight, caveat, or question.
Yulia Bobrova (2026) studied Influenza. Topological data analysis and machine learning was evaluated. The estimated largest Lyapunov exponent was approximately 0.001, characterizing weak chaos in the influenza surveillance series.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: