Creating maps showing the current state of the Covid pandemic
Based on data available from (https://ourworldindata.org/coronavirus).
Main feature: score-based evaluation of countries based on four variables (new_cases_smoothed_per_million, positive_rate, new_deaths_smoothed_per_million, new_tests_smoothed_per_thousand). Countries with insufficient information available are displayed grey.
The score of a country is a positive number. A value of 0 indicates that the situation is fully under control, a score between 0 and 100 corresponds to a situation that is largely under control. Scores of more than 100 indicate a significant spread of COVID-19.
The score is based on four variables (new_cases_smoothed_per_million, positive_rate, new_deaths_smoothed_per_million, new_tests_smoothed_per_thousand) and calculated as follows: There are three subscores:
score1 = new_cases_smoothed_per_million
score2 = max(0, 100 * (positive_rate - 0.04) / 0.04)
score3 = 100 * new_deaths_smoothed_per_million / 2
Then, the score of a country is the maximum of these three subscores.
In addition, the number of tests is taken into account.
If the score is < 200, then new_tests_smoothed_per_thousand has to be >= 0.1; otherwise the score is not displayed.
If new_tests_smoothed_per_thousand is not available for the current date, a value up to 30 days earlier is used.
If the score is < 50, then new_tests_smoothed_per_thousand has to be >= 0.5; otherwise the score is set to 50.