AWS releases Simulator and Machine Learning Toolkit for Predicting COVID-19 Spread
“Our solution first tries to understand the approximate time to peak and expected case rates of the daily COVID-19 cases for the target entity (state/country) by analysis of the disease incidence patterns. Next, it selects the best (optimal) parameters using optimization techniques on a simulation model. Finally, it generates the projections of daily and cumulative confirmed cases, starting from the beginning of the outbreak until a specified length of time in the future.” said AWS in their blog post.
To get started, AWS has provided a few sample simulations at state and country levels in the covid19_simulator.ipynb notebook in https://github.com/aws-samples/covid19-simulation which you can run on Amazon SageMaker or a local environment.