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The previous chart looked at the increase of total deaths – this chart shows the number of confirmed deaths per day.
• In countries that responded well to the pandemic the death count stayed low – South Korea is an example.
• In other countries – for example Italy, Spain, and the US – the number of confirmed deaths increased very rapidly for several weeks before the growth rate declined.
How you can interact with this chart: The default log view is helpful to compare the growth rates between countries: on a logarithmic scale the steepness of the line corresponds to the growth rate. But in this chart, as in many of our charts, you can switch to a linear axis. Just click on ‘LOG’. Here is an explanation for how to read logarithmic axes.This chart shows the same data as before, but now adjusted for the size of the population – it shows daily confirmed deaths per million people.
It makes sense to adjust for the size of the population because the death count in more populous countries tends to be higher. [Here you can see this correlation.]
Related chart: The chart showing total confirmed deaths per million can be found here.The previous chart looked at daily deaths per million people. This map shows total confirmed deaths per million people.
Two tips on how to interact with Our World in Data maps:• You can drag the blue time-slider below the map to any other position – the map changes to the date you are interested in.
• In all our maps you can click on any country to switch to the chart view and see its change over time.
This chart allows you to compare the trajectory of confirmed cases between countries.
• Spain and the US had particularly rapid outbreaks. Within two and a half weeks the number of confirmed cases reached 10,000 and continued to rapidly increase after that (as you can see, the US had 100,000 confirmed cases within 25 days after having the 100th case). • In South Korea the speed of the outbreak was much slower, after 6 weeks there were 10,000 confirmed cases and the growth rate stayed slow even then. What are the grey lines in the background? These lines show the trajectories for doubling times of 1, 2, 3, 5, and 10 days. If the slope that a country is on is steeper than a particular grey line, then the doubling time of confirmed cases in that country is faster than that. For example, there are several countries for which the slope was steeper than the ‘…every 2 days’ line – this means their case count doubled faster than every two days.• To interpret any data on confirmed cases we need to know how much testing for COVID-19 the country actually does.
• That is why we – the at Our World in Data team – have focused our efforts on building a global dataset on COVID-19 testing.
We are constantly expanding and updating this database,you always find our latest version here: OurWorldInData.org/covid-testing
And as with all our work, it is freely accessible for everyone (the data is here on GitHub).
This chart shows the number of daily tests per thousand people.
There are extremely large differences between countries as this chart shows.
Some countries do very few tests.
What is counted as a test? The number of tests does not refer to the same in each country – one difference is that some countries report the number of people tested, while others report the number of tests (which can be higher if the same person is tested more than once). And other countries report their testing data in a way that leaves it unclear what the test count refers to exactly.We indicate the differences in the chart and explain them in detail in our accompanying source description.
This shows the total number of tests in each country. To allow comparisons between countries it is again shown relative to the size of the population.
In all our charts you can download the data: We want everyone to built on top of our work and therefore we always make all our data always available for download. Click on the 'Data'-tab below the chart and you can download the shown data for all countries in a simple to use csv file.This chart brings our data on testing together with the data on confirmed cases.
The chart answers the question: How many tests did a country do to find one COVID-19 case?
• Some countries – for example Taiwan and Vietnam – did a large number of tests per each confirmed case.
• For others the ratio is more than two orders of magnitude lower. These countries found a case for every few tests they did.
This shows the correlation between tests per capita and GDP per capita.
There are a few exceptions, but poorer countries tend to do fewer tests for COVID-19.
This suggests that particularly in poorer countries the number of total cases is likely much higher than the number of confirmed cases.
We looked at this chart before we started looking at the testing data.
Now that we’ve seen the large cross-country differences in testing it is clear why it is crucial to interpret any data on confirmed cases in the light how much testing a country actually does: Without testing there is no data. And in countries that do very little testing the total number of cases can be much higher than the number of confirmed cases.
The previous charts allowed you to compare countries.
This is a chart that is helpful to understand the spread of the disease in a single country – in this case South Korea.
In yellow you see the number of daily new confirmed cases and in red the total sum of confirmed cases.In late February the country experienced a very rapid outbreak – South Korea was on a trajectory that was just as steep as the one of Italy.
But by early March it turned things around, bringing the number of confirmed cases down to around 100 per day.
This is the same chart, but showing the data for Spain.
For much of March the daily number of confirmed cases increased day by day – the total number of cases was growing exponentially.
How to interact with this chart: On these charts you see the button Change Country in the bottom left corner – with this option you can switch the chart to any other country in the world.Have a look at Switzerland for example.
The number of confirmed cases in Switzerland grew exponentially for almost one month, but then the country was able to stop this exponential growth and the daily number of cases stopped increasing.(A constant number of daily cases means that exponential growth is over and that the total case count is growing linearly.)
The previous chart helps us understand a single country. This chart allows the comparison across countries.
It shows the daily number of confirmed COVID-19 cases.
Five quick reminders: • By clicking on + Add Country you can show and compare the data for any country in the world you are interested in. • If you click on the title of the chart, the chart will open in a new tab. You can then copy-paste the URL and share it. • You can switch the chart to a linear axis, by clicking on 'LOG'. • If you move both ends of the time-slider to a single point you will see a bar chart for this point in time. • You can switch to the 'Map' tab.So far we focused first on confirmed deaths and then on confirmed cases.
This chart shows both metrics.
How to interact with this chart: By now you know that in these charts it is always possible to switch to any other country in the world by choosing Change Country in the bottom left corner.This chart shows the total number of confirmed cases on the horizontal axis against the total number of confirmed deaths on the vertical axis.
The ratio between these two measures is what epidemiologists call the case fatality rate (CFR).
The grey lines show the CFR. For instance, if a country lies along the 2% line, its current confirmed cases and death figures indicate it has a case fatality rate of 2%.
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If you think that research & data are needed in the fight against the pandemic then you understand our motivation.
We hope these slides are helpful to understand the pandemic that we are all fighting.