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http://og5.iuli.ac.id/covid

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.

Disclaimer:

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')