[02529] Application of machine learning to predict dynamics of epidemiological models that incorporate human behavior
Session Time & Room : 4E (Aug.24, 17:40-19:20) @D514
Type : Contributed Talk
Abstract : In this work, we present modeling, analysis and simulation of a mathematical epidemiological model which incorporates human social, behavioral, and economic interactions. We discuss an approach based in Physics-Informed Neural Network, which is capable of predicting the dynamics of a disease described by modified compartmental models that include parameters, and variables associated with the governing differential equations. Finally, human behavior is modeled stochastically and it is included in the compartmental models.
