When Will COVID-19 End Data-Driven Estimation of End Dates (updated on April 28)
The Data-Driven Estimation of End Dates provides continuous predictive monitoring of COVID-19 developments as a complement to monitoring confirmed cases. SIR (susceptible-infected-recovered) model is regressed with data from different countries to estimate the pandemic life cycle curves and predict when the pandemic might end in respective countries and the world, with codes from Milan Batista and data from Our World in Data. Given the rapidly changing situations, the predictive monitors are updated daily with the latest data. Motivation, theory, method, and caution are in this paper.
When Will COVID-19 End Data-Driven Estimation of End Dates (updated on April 28)
Coronavirus disease (COVID-19) Resources: Guidelines, Recording and Reporting Formats
COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE)
