Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Denmark of about 2.13% each day. That corresponds to a doubling of the numbers approx. every 33 days.
The graph above and the following table show the course of reported coronavirus infections in Denmark assuming that the numbers are following an exponential trend without any slowdown.
6,880

7,070
+198 (+2.88%)
7,270
+194 (+2.74%)
7,440
+169 (+2.33%)
7,580
+143 (+1.92%)
7,710
+131 (+1.73%)
7,890
+180 (+2.33%)
8,110
+217 (+2.75%)
8,270
+163 (+2.01%)
8,410
+137 (+1.66%)
8,610
8,560  8,650
+200 (+2.38%)
8,790
8,740  8,840
+183 (+2.13%)
8,980
8,930  9,030
+187 (+2.13%)
9,170
9,120  9,220
+191 (+2.13%)
9,360
9,310  9,410
+195 (+2.13%)
9,560
9,510  9,610
+199 (+2.13%)
9,770
9,710  9,820
+203 (+2.13%)
9,970
9,920  10,000
+208 (+2.13%)
10,200
10,100  10,200
+212 (+2.13%)
10,400
10,300  10,500
+216 (+2.13%)
Using loglinear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Denmark of about 2.86% each day. That corresponds to a doubling of the numbers approx. every 25 days.
The graph above and the following table show the course of reported deaths by coronavirus in Denmark assuming that the numbers are following an exponential trend without any slowdown.
309

321
+12 (+3.88%)
336
+15 (+4.67%)
346
+10 (+2.98%)
355
+9 (+2.6%)
364
+9 (+2.54%)
370
+6 (+1.65%)
384
+14 (+3.78%)
394
+10 (+2.6%)
403
+9 (+2.28%)
416
413  419
+13 (+3.19%)
428
425  431
+12 (+2.86%)
440
437  443
+12 (+2.86%)
453
449  456
+13 (+2.86%)
466
462  469
+13 (+2.86%)
479
475  482
+13 (+2.86%)
493
489  496
+14 (+2.86%)
507
503  510
+14 (+2.86%)
521
517  525
+14 (+2.86%)
536
532  540
+15 (+2.86%)
In Denmark, approx. 1.03% of the population die each year. With a population of roughly 5,800,000 people in Denmark, that corresponds to about 164 deaths per day on the statistical average.
The graph above shows the reported daily deaths by coronavirus in contrast to the statistical number as baseline.
To estimate the mortality rate of coronavirus infections, we need to consider that a reported death already showed up in the reported cases a few days before. It is presumed that this lag is between 7 and 14 days. If we assumed that the lag was about 7 days, the mortality rate in Denmark would be approx. 5.5%.
The graph aboves shows the mortality depending on different presumed lag.
The graph above shows the daily increase of reported coronavirus infections in Denmark in the previous days.
The graph shows the daily increase of reported deaths by coronavirus in Denmark in the previous days.
The graph tries to predict the number of required intensive care units in Denmark. We assume the following:
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Denmark of about 6.52% each day. That corresponds to a doubling of the numbers approx. every 11 days.
The graph above and the following table show the course of reported coronavirus infections in Denmark assuming that the numbers are following an exponential trend without any slowdown.
801

827
+26 (+3.25%)
864
+37 (+4.47%)
914
+50 (+5.79%)
977
+63 (+6.89%)
1,060
+80 (+8.19%)
1,150
+94 (+8.89%)
1,260
+104 (+9.04%)
1,330
+71 (+5.66%)
1,400
+69 (+5.2%)
1,500
1,470  1,530
+102 (+7.33%)
1,590
1,570  1,630
+98 (+6.52%)
1,700
1,670  1,730
+104 (+6.52%)
1,810
1,780  1,840
+111 (+6.52%)
1,930
1,890  1,960
+118 (+6.52%)
2,050
2,020  2,090
+126 (+6.52%)
2,190
2,150  2,230
+134 (+6.52%)
2,330
2,290  2,370
+143 (+6.52%)
2,480
2,440  2,530
+152 (+6.52%)
2,640
2,590  2,690
+162 (+6.52%)
Using loglinear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Denmark of about 30.8% each day. That corresponds to a doubling of the numbers approx. every 2.6 days.
The graph above and the following table show the course of reported deaths by coronavirus in Denmark assuming that the numbers are following an exponential trend without any slowdown.
0

1
+0 (+0%)
2
+1 (+100%)
3
+1 (+50%)
4
+1 (+33.3%)
4
+0 (+0%)
6
+2 (+50%)
9
+3 (+50%)
13
+4 (+44.4%)
13
+0 (+0%)
19
15  24
+6 (+47.2%)
25
20  31
+6 (+30.8%)
33
26  41
+8 (+30.8%)
43
35  53
+10 (+30.8%)
56
45  70
+13 (+30.8%)
73
59  91
+17 (+30.8%)
96
77  119
+23 (+30.8%)
126
101  156
+30 (+30.8%)
164
132  204
+39 (+30.8%)
215
173  267
+51 (+30.8%)
To estimate the mortality rate of coronavirus infections, we need to consider that a reported death already showed up in the reported cases a few days before. It is presumed that this lag is between 7 and 14 days. If we assumed that the lag was about 7 days, the mortality rate in Denmark would be approx. 1.5%.
The graph aboves shows the mortality depending on different presumed lag.
The graph above shows the daily increase of reported coronavirus infections in Denmark in the previous days.
The graph shows the daily increase of reported deaths by coronavirus in Denmark in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Faroe Islands of about 0.431% each day. That corresponds to a doubling of the numbers approx. every 160 days.
The graph above and the following table show the course of reported coronavirus infections in Faroe Islands assuming that the numbers are following an exponential trend without any slowdown.
184

184
+0 (+0%)
184
+0 (+0%)
184
+0 (+0%)
185
+1 (+0.543%)
185
+0 (+0%)
185
+0 (+0%)
185
+0 (+0%)
187
+2 (+1.08%)
187
+0 (+0%)
188
187  189
+1 (+0.539%)
189
188  190
+0 (+0.431%)
190
189  191
+0 (+0.431%)
190
190  191
+0 (+0.431%)
191
190  192
+0 (+0.431%)
192
191  193
+0 (+0.431%)
193
192  194
+0 (+0.431%)
194
193  195
+0 (+0.431%)
195
194  196
+0 (+0.431%)
195
194  196
+0 (+0.431%)
The graph above and the following table show the course of reported deaths by coronavirus in Faroe Islands assuming that the numbers are following an exponential trend without any slowdown.
0

0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
To estimate the mortality rate of coronavirus infections, we need to consider that a reported death already showed up in the reported cases a few days before. It is presumed that this lag is between 7 and 14 days. If we assumed that the lag was about 7 days, the mortality rate in Faroe Islands would be approx. 0%.
The graph aboves shows the mortality depending on different presumed lag.
The graph above shows the daily increase of reported coronavirus infections in Faroe Islands in the previous days.
The graph shows the daily increase of reported deaths by coronavirus in Faroe Islands in the previous days.
Using loglinear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Greenland of about 5.82e10% each day. That corresponds to a doubling of the numbers approx. every ,120,000,000,000 days.
The graph above and the following table show the course of reported coronavirus infections in Greenland assuming that the numbers are following an exponential trend without any slowdown.
11

11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
+0 (+0%)
11
11  11
+0 (+1.46e9%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
11
11  11
+0 (+5.82e10%)
The graph above and the following table show the course of reported deaths by coronavirus in Greenland assuming that the numbers are following an exponential trend without any slowdown.
0

0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
0
+0 (+0%)
To estimate the mortality rate of coronavirus infections, we need to consider that a reported death already showed up in the reported cases a few days before. It is presumed that this lag is between 7 and 14 days. If we assumed that the lag was about 7 days, the mortality rate in Greenland would be approx. 0%.
The graph aboves shows the mortality depending on different presumed lag.
The graph above shows the daily increase of reported coronavirus infections in Greenland in the previous days.
The graph shows the daily increase of reported deaths by coronavirus in Greenland in the previous days.
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