Authors’ Response to Peer Reviews of “Chaotic and Stochastic Components in an Influenza Surveillance Series: Nonlinear Dynamics and Predictive Modeling Study”

This paper [2] presents an interesting application of chaos theory, nonlinear time series analysis, and topological machine learning to influenza epidemiological data.The methodology is strong and promising.However, the manuscript requires substantial improvements to enhance clarity and accessibility.