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The following chart, sourced from Our World in Data, provides a visual representation of excess mortality during the pandemic for all ages using the P-score (the difference in percentages between the reported and projected number of deaths). When you are using the chart and the map functions, you can select the timeframe you are interested in, and the countries or regions you want to see. When using the table, you can select the timeframe and sort the data by date and type of change.
When using this chart, please keep in mind the following factors:
- A country’s reported number of deaths might not count all their deaths that occurred within the allotted timeframe due to limitations in a country’s infrastructure and capacity to register and report all deaths. Delays in death reporting may affect the mortality data (these data points have already been excluded from the visualization).
- The weekly reported deaths may not be directly comparable to the monthly reported deaths because the monthly data tends to be lower than the excess mortality calculated from the weekly data.
For more information on excess mortality statistics, please see this article by Our World in Data, John Muellbauer, and Janine Aron.
If you require any assistance to use this chart, please contact us at firstname.lastname@example.org.
The following chart from Our World in Data provides the breakdown of the Omicron variant cases. As this only reflects the breakdown of cases that were sequenced, it does not represent a complete breakdown of all COVID cases.
The following chart from Our World in Data provides a stringency index based on nine metrics. Please note, the index only records strictness of government policies.
The following chart from Our World in Data provides a visual representation of how community movement in specific locations has changed relative to the period before the pandemic.