Coronavirus in Denmark

Affected Population

0.068 %

This is the part of confirmed infection cases against the total 6 million of its population.

Affected 1 of every 1,463
Failed to recover 1 of every 41,524

Recovery Pie

The whole pie reflects the total number of confirmed cases of people infected by coronavirus in Denmark.

Raw Numbers on April 3rd, 2020

3,946confirmed

1,287recovered

139failed

2,520active

Daily Flow

The height of a single bar is the total number of people suffered from Coronavirus in Denmark and confirmed to be infected. It includes three parts: those who could or could not recover and those who are currently in the active phase of the disease.

New Confirmed Cases

This graph shows the number of new cases by day. The lightblue bars are the number of the new total confirmed cases appeared that day.

Daily Speed

This graph shows the speed of growth (in %) over time in Denmark. The main three parameters are the number of confirmed cases, the number of recoveries and failures. The orange line is the speed of changing of the number of active cases (i.e., of those, who are still ill).

Note. When the speed is positive, the number of cases grows every day. The line going down means that the speed decreases, and while there may be more cases the next day, the disease spread is slowing down. If the speed goes below zero, that means that fewer cases registered today than yesterday.

Raw Daily Numbers

Date Confirmed
cases
Daily
growth, %
Recovered
cases
Failed
cases
Active
cases
Recovery
rate, %
Mortality
rate, %
Affected
population, %
1 confirmed
per every
1 failed
per every
Apr 3rd 3,946 10.4 % 1,287 139 2,520 32.6 % 3.5 % 0.068 % 1,463 41,524
Apr 2nd 3,573 8.6 % 1,172 123 2,278 32.8 % 3.4 % 0.062 % 1,615 46,926
Apr 1st 3,290 8.3 % 971 104 2,215 29.5 % 3.2 % 0.057 % 1,754 55,499
Mar 31st 3,039 10.3 % 77 90 2,872 2.5 % 3.0 % 0.053 % 1,899 64,132
Mar 30th 2,755 7.4 % 73 77 2,605 2.6 % 2.8 % 0.048 % 2,095 74,960
Mar 29th 2,564 8.4 % 73 72 2,419 2.8 % 2.8 % 0.044 % 2,251 80,165
Mar 28th 2,366 7.5 % 57 65 2,244 2.4 % 2.7 % 0.041 % 2,440 88,798
Mar 27th 2,200 8.7 % 57 52 2,091 2.6 % 2.4 % 0.038 % 2,624 110,998
Mar 26th 2,023 8.6 % 50 41 1,932 2.5 % 2.0 % 0.035 % 2,853 140,778
Mar 25th 1,862 8.4 % 41 34 1,787 2.2 % 1.8 % 0.032 % 3,100 169,762
Mar 24th 1,718 9.3 % 36 32 1,650 2.1 % 1.9 % 0.03 % 3,360 180,372
Mar 23rd 1,572 3.8 % 24 24 1,524 1.5 % 1.5 % 0.027 % 3,672 240,496
Mar 22nd 1,514 6.6 % 4 13 1,497 0.3 % 0.9 % 0.026 % 3,812 443,992
Mar 21st 1,420 6.2 % 1 13 1,406 0.1 % 0.9 % 0.025 % 4,065 443,992
Mar 20th 1,337 9.1 % 1 9 1,327 0.1 % 0.7 % 0.023 % 4,317 641,322
Mar 19th 1,225 9.9 % 1 6 1,218 0.1 % 0.5 % 0.021 % 4,712 961,983
Mar 18th 1,115 8.9 % 1 4 1,110 0.1 % 0.4 % 0.019 % 5,177 1,442,975
Mar 17th 1,024 9.9 % 1 4 1,019 0.1 % 0.4 % 0.018 % 5,637 1,442,975
Mar 16th 932 6.5 % 1 3 928 0.1 % 0.3 % 0.016 % 6,193 1,923,967
Mar 15th 875 4.7 % 1 2 872 0.1 % 0.2 % 0.015 % 6,596 2,885,950
Mar 14th 836 4.0 % 1 1 834 0.1 % 0.1 % 0.014 % 6,904 5,771,900
Mar 13th 804 30.3 % 1 0 803 0.1 % 0.0 % 0.014 % 7,179
Mar 12th 617 39.0 % 1 0 616 0.2 % 0.0 % 0.011 % 9,355
Mar 11th 444 69.5 % 1 0 443 0.2 % 0.0 % 0.0077 % 13,000
Mar 10th 262 191.1 % 1 0 261 0.4 % 0.0 % 0.0045 % 22,030
Mar 9th 90 157.1 % 1 0 89 1.1 % 0.0 % 0.0016 % 64,132
Mar 8th 35 52.2 % 1 0 34 2.9 % 0.0 % < 0.001 % 164,911
Mar 7th 23 0.0 % 1 0 22 4.3 % 0.0 % < 0.001 % 250,952
Mar 6th 23 130.0 % 1 0 22 4.3 % 0.0 % < 0.001 % 250,952
Mar 5th 10 0.0 % 0 0 10 0.0 % 0.0 % < 0.001 % 577,190
Mar 4th 10 66.7 % 0 0 10 0.0 % 0.0 % < 0.001 % 577,190
Mar 3rd 6 50.0 % 0 0 6 0.0 % 0.0 % < 0.001 % 961,983
Mar 2nd 4 0.0 % 0 0 4 0.0 % 0.0 % < 0.001 % 1,442,975
Mar 1st 4 33.3 % 0 0 4 0.0 % 0.0 % < 0.001 % 1,442,975
Feb 29th 3 200.0 % 0 0 3 0.0 % 0.0 % < 0.001 % 1,923,967
Feb 28th 1 0.0 % 0 0 1 0.0 % 0.0 % < 0.001 % 5,771,900
Feb 27th 1 0 0 1 0.0 % 0.0 % < 0.001 % 5,771,900

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The green and red arrows display the change of the number of new confirmed cases for the last two days.

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Based on data collected by the Johns Hopkins University Center for Systems Science and Engineering.

This website presents the very same data as the JHU’s original dashboard but from a less-panic perspective. Updated daily around 8 a.m. European time.

Read the Technology blog. Look at the source code: GitHub. Powered by Raku.

Created by Andrew Shitov. Twitter: @andrewshitov. Contact by e-mail.