Previously, I posted a protocol allowing you to plot COVID-19 data as a function of time for different countries. Attached is a protocol that performs a simple sigmoidal curve fit to the data, then plots the results so you can see how good the fit is and what the model predicts for the future. Note that this is a very crude model, it doesn't always converge, the fit you get is sensitive to the parameters you choose, and you can tell by observation that the predictions don't always make sense (e.g., predictions of fewer cases in the future than have already been observed).

Please regard this as a first pass, zeroth-order analysis that should not be over-interpreted -- and which has a great deal of room for improvement if you are a savvy Pipeline Pilot user. (In particular, you might replace the "Least Squares Curve Fit" component with "R Robust Dose Response Fit" to allow additional fitting options.)