SIR Model-Informed Probabilistic Estimation of Infectious-Disease Spread

Inference for Runge-Kutta integration with Pymc3

Machine learning methods have played an essential role in epidemiology research. Data scientists interested in this domain are lucky since they never have to search for a data-driven solution from scratch. On the contrary, they will be guided by some well-studied mathematical models.

This post explains how to use Pymc3, a Python package for Bayesian statistical modeling, to build a bayesian inference to predict the disease spread informed by …

bayesian-statistics data science disease disease spread epidemic