Before revision: This tutorial shows how to build, fit, and criticize disease transmission models in Stan, and should be useful to researchers interested in modeling the COVID-19 outbreak and doing Bayesian inference . Bayesian modeling provides a principled way to quantify uncertainty and incorporate  prior knowledge into the model .
After revision: This tutorial shows how to build, fit, and criticize disease transmission models in Stan, and should be useful to researchers interested in modeling the COVID-19 outbreak and doing Bayesian inference . Bayesian modeling provides a principled way to quantify uncertainty and incorporate both data and prior knowledge into the model .