Modeling Shocks in COVID 19

In the Quantitative Economics with Julia book, we have added two new lectures.

1. Modeling COVID 19 with Differential Equations

• In this lecture, dynamics are modeled using a standard SEIR (Susceptible-Exposed-Infected-Removed) model of disease spread, represented as a system of ordinary differential equations where the number of agents is large and there are no exogenous stochastic shocks.

2. Modeling Shocks in COVID 19 with Stochastic Differential Equations

• In this lecture, we extend the model to include shocks to the $R_0$ and the mortality rates. Stochastic Differential Equations (SDE) coupled with features in SciML such as Parallel Ensembles provide a rich environment to experiment with non-deterministic models.