Rt represents the effective reproduction rate of the virus calculated for each locale. It lets us estimate how many secondary infections are likely to occur from a single infection in a specific area. Values over 1.0 mean we should expect more cases in that area, values under 1.0 mean we should expect fewer.
Read more on the rt.live FAQ page.
Our model code is open source and available on GitHub.
Case count data from The COVID Tracking Project.
While we make a best effort to accurately describe Rt, nothing can do that perfectly. Please calibrate with other sources, like epiforecasts.io, as well.
While we may not be able to respond to every email, you can reach out here.
Model by Kevin Systrom and Thomas Vladeck. Powered by PyMC3.