We explore alternative estimates of the cumulative mortality toll of the pandemic and compare based on these estimates how severe COVID-19 has been relative to the leading causes of death before the pandemic.
This leads us to four different perspectives on the severity of the mortality impact of the COVID-19 pandemic, which are based on the following data:
Upper-bound estimates of all-cause excess deaths as per again the same confidence interval.
These estimates are then compared with the leading causes of death before the pandemic, where we focus on the Top 3 causes of death in 2019 at the level of each country. For a discussion of methods and caveats, check out the earlier companion post. Here’s the results
The image gallery above sums up the analysis. As one scrolls through the different concepts, we get a progressively more severe picture of the pandemic.
Let’s discuss the results by World Bank region:
Latin America & Caribbean (LAC) is by far the most severely affected throughout the comparisons. Even if we go by the officially reported data, the cumulative death toll has far exceeded the pre-pandemic top cause of death. The consistency in this picture for LAC between reported COVID-19 deaths and excess deaths (scroll through and the map barely changes) is partly explained by the fact that (a) the pandemic has indeed been severe in LAC and (b) several countries (including Ecuador and Peru) have conformed the officially reported mortality stats to the available estimates of excess deaths.
North America (NAM), which includes Canada and the United States, also portrays a consistent picture across the alternative measurements. There is however a huge difference between Canada and the US. By fall 2021, the officially reported mortality stats suggest that COVID-19 has become the 5th cause of death in Canada and the 2nd in the US. Excess death estimates however suggest the pandemic’s death toll has been comparable with the 6-13th cause of death in Canada and the 2nd in the US.
Europe and Central Asia (ECA) show very different patterns. Parts of Europe turn quite green once we shift from reported COVID-19 deaths to excess deaths, with exception of Eastern and Southern Europe where estimates about excess deaths result in progressively worse assessments (the upper-bound excess estimates put pretty much everyone in a more dire position). The picture for Central Asia follows that of Eastern Europe.
Sub-Saharan Africa (SSA) is the big puzzle. The reported COVID-19 mortality toll is not comparable to the top-3 leading causes of deaths in the region, except for a few countries in Southern Africa. That picture remains pretty robust once we move to lower-bound estimates for excess deaths. However, once we get into the mid-points, the conclusion is radically different.
Interestingly, as we move from mid-point to upper-bound estimates, a number of countries remain in the green zone, including CAR, Niger, Nigeria and Somalia.
Middle East & North Africa (MNA) show a pattern of turning from sporadically green (including in some large countries in the Middle East such as Saudi Arabia) when it comes to the official statistics on COVID-19 deaths into different shades of red when we show the different estimates of excess deaths by The Economist. Countries were reported COVID-19 deaths are comparable to leading causes of death in 2019 include Iran, Iraq, Libya and Tunisia.
South Asia (SAR) is turning very quickly red once we transition from reported COVID-19 stats to excess death estimates. India, the largest country in this region, reaches causes of death #2 already for the lower-bound of the 90% CI, with the mid-point estimate suggested that the cumulative excess death toll of the pandemic has been more severe than India’s top cause of death in 2019.
East Asia & Pacific (EAP) is homogeneously green when it comes to official mortality stats, but highly diverse when we compare with the various excess death estimates. Southeast Asia follows the typical pattern of becoming progressively red, with Indonesia taking the lead. The rest of this region, however, remains entirely green even under the upper-bound estimates. This includes China and several high-income countries: Australia, Japan, New Zealand and South Korea.
This completes the description. A detailed discussion of the large standard errors and potential for bias in the estimates can be found in the original post.
We conclude by showing the maps for the different concepts of mortality in interactive format, so country details and calculations can be retrieved (see tooltips). These maps also include sources and notes.
Finally, note that non-interactive versions of these maps can be downloaded here: