IULI Data Science Research Group and Department of Computer Science present this site in order to evaluate the progress of Covid-19. This is because of our believe that we can not “kill” Covid-19 alone.

  1. Cluster evaluation — It shows the magnitude of cases vs average of previous 7 days growth. This gives an intuitive perception about the severity of the pandemic in a country.
  2. Active case, — It shows the active cases (number of patients in the hospital vs “mortality” (death cases divided by total of patients exiting the hospital)
  3. “Covid-19 Journey” — this is inspired by “home run” terminology in the baseball game that we have to run after hitting the ball and have to finish one round. When this Covid-19 emerge in a country, they have to run as quickly as possible and return to the base, where no (zero) case of Covid-19 and no patient left in the hospital.
  4. Covid-19 in Indonesia in this page, we calculate prediction for the Journey of Covid-19 in Indonesia. It is based on the time series prediction of confirmed case growth rate, and number of persons exit from hospital.


All data, algorithm and information in this site are solely only for educational and research purposes. It is not intended for medical or commercial used

data_loc = ('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')