Latest data for 100 countries below. Decide for yourself, what does the data tell you.

• Excess mortality Excess mortality data is estimated by Karlinsky & Kobak, 2021, Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife 10:e69336. As this is a key part of the visualization, the reader is encourage to read the article to understand the applied methodology. The data is continuously kept up to date by the authors at https://github.com/dkobak/excess-mortality/.

• Vaccination rates and COVID-19 deaths Both vaccination rates and reported COVID-19 deaths data is obtained from Our World In Data directly from their GitHub repository (https://github.com/owid/covid-19-data/raw/master/public/data/owid-covid-data.csv).

1. Update the data by running update.R from the data_raw subfolder. The country stringency data must be manually downloaded (link and instructions in the source code).
2. Pre-process the data by running preprocess_data.R from the data_proc subfolder.
3. Run the mortality.R script to generate the plots.

The excess mortality and vaccination data for the various countries is not provided on the same time interval, e.g. some countries report daily, others weekly, and others only monthly or even only quarterly. Temporal diss-aggregation and/or aggregation is therefore used to bring data on the same time scale. While temporal aggregation is straightforward, the Denton-Cholette method of temporal diss-aggregation is used.