YuanchenZhu2020/DemoPreTurningPointsCOVID19: Demo of Tracking and Forecasting Milepost Moments of COVID-19

In the paper <Tracking_and_forecasting_milepost_moments_of_the_ epidemic_in_the_early_outbreak__framework_and_applications_to_the_COVID_19>, we proposed a method to predict "turning points", whose main idea is using the change velocity of infection rate (InfectionRateVelocity) and the change velocity of completion rate(RemovedRateVelocity) to forcast newly diagnoses cases and number of cases treated in the hospital in the future. Here, we proposed one of the algorithms to calculate the change rate and then make the prediction, which is the method we used in our paper mentioned above. At last, we offer a simple example to implement this method.

install.packages("remotes")
remotes::install_github("YuanchenZhu2020/DemoPreTurningPointsCOVID19")