Nodycast, the Podcast on Nonlinear Dynamics

Episodes 1 & 2: COVID Pandemic

This is the premier episode of Nodycast, the podcast on nonlinear dynamics and has been split into two parts. In these episodes (Parts 1 and 2) we discuss nonlinear modeling and dynamic analysis of pandemics, in particular, COVID-19. We have an expert panel: Dr. Gergely Rost (University of Szeged, Hungary), Dr. Bala Balachandran (University of Maryland), Dr. J. Tenreiro Machado (University of Porto, Portugal) and Dr. C. Nataraj (Villanova University, USA). We discuss compartment vs. agent-based models, parametric vs. data-based models, seasonality, predictability, control techniques, effect of social behavior, government action, etc. Also discussed are the issues about the available data and possible research in the future.

Here are additional links to the papers by the panelists and other fun stuff.

Springer Nature Journal of Nonlinear Dynamics

Special Issues on COVID-19

Nonlinear Dynamics of COVID-19 Pandemic: Modeling, Control, and Future Perspectives (edited by J.A. Tenreiro Machado, Jun Ma)

Nonlinear Dynamics of COVID-19 Pandemic: Modeling, Control, and Future Perspectives (edited by Walter Lacarbonara, Jun Ma, J. A. Tenreiro Machado, C Nataraj)

Complex dynamics of COVID-19: modeling, prediction and control (part II) (edited by Walter Lacarbonara, Jun Ma, C Nataraj)

Nonlinear dynamic analysis of an epidemiological model for COVID-19 including public behavior and government action

Nonlinear model predictive control with logic constraints for COVID-19 management

COVID-19: data-driven dynamics, statistical and distributed delay models, and observations

Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov's complexity and Shannon's information theories