This is Open Source data about COVID-19 cases in Kosovo. The scripts used in this program should be run as follows:
ipython covid.py
If you would like to run it using the invoke system, the following command will kick off the process:
invoke build push --tag release
I have removed all of the MacOS specific code. This should work on any computer now. On Windows, I would highly recomoend using Scientific Python instead of trying to roll your own.
Date
is an ISO 8601 formatted date that represents the date that the data was reported
Tested_Raw
is the reported data of how many people were tested using the WHO standard testing methodology.
Tested_Cum
is the cumulative running total of all of the values.
Tested_Delta
calculates percentage change between the current and a prior element.
Positive_Raw
is the reported data of how many people who had a positive test result using the WHO standard testing methodology.
Positive_Cum
is the cumulative running total of all of the values.
Positive_Delta
calculates percentage change between the current and a prior element.
Recovered_Raw
is the reported data of how many people had two negative tests 24 hours apart using the WHO standard testing methodology.
Recovered_Cum
is the cumulative running total of all of the values.
Recovered_Delta
calculates percentage change between the current and a prior element.
Died_Raw
is the reported data of how many people who had a cessation of life functions due to COVID-19.
Died_Cum
is the cumulative running total of all of the values.
Died_Delta
calculates percentage change between the current and a prior element.
Tested_Positive_Ratio
is (Positive_Raw / Tested_Raw) * 100
Active_Infections
is Recovered_Cum - Positive_Cum + Died_Cum
If you would just like to see the results of the scripts, I make a release almost every weekday.
We have been entering the data daily. At some point before 2020-05-19 the data was retrospectively modified. It an effort to maintain transparency, we have the old data file, the new data file, along with a diff file of the changes. If the data diverges again we will use the same process to maintain transparency.