Coronavirus in Germany

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DISCLAIMER ✋

The estimates and predictions presented here are based partially on speculative mathematical models. All statements without guarantee!

How were the past few days in Germany and how could it go on?

Coronavirus infections

155,000Apr 24135,000Apr 15180,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Germany of about 1.5% each day. That corresponds to a doubling of the numbers approx. every 47 days.

The graph above and the following table show the course of reported coronavirus infections in Germany assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

135,000

-

Apr 16

138,000

+2,950 (+2.19%)

Apr 17

141,000

+3,700 (+2.69%)

Apr 18

143,000

+1,950 (+1.38%)

Apr 19

145,000

+1,840 (+1.29%)

Apr 20

147,000

+1,880 (+1.3%)

Apr 21

148,000

+1,230 (+0.834%)

Apr 22

151,000

+2,360 (+1.59%)

Apr 23

153,000

+2,480 (+1.65%)

Apr 24

155,000

+1,870 (+1.22%)

Apr 25

158,000
157,000 - 158,000

+2,510 (+1.62%)

Apr 26

160,000
160,000 - 160,000

+2,370 (+1.5%)

Apr 27

162,000
162,000 - 163,000

+2,400 (+1.5%)

Apr 28

165,000
164,000 - 165,000

+2,440 (+1.5%)

Apr 29

167,000
167,000 - 168,000

+2,470 (+1.5%)

Apr 30

170,000
169,000 - 170,000

+2,510 (+1.5%)

May 1

172,000
172,000 - 173,000

+2,550 (+1.5%)

May 2

175,000
174,000 - 175,000

+2,590 (+1.5%)

May 3

177,000
177,000 - 178,000

+2,630 (+1.5%)

May 4

180,000
180,000 - 180,000

+2,660 (+1.5%)

Deaths by coronavirus

5,760Apr 243,800Apr 159,170May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Germany of about 4.7% each day. That corresponds to a doubling of the numbers approx. every 15 days.

The graph above and the following table show the course of reported deaths by coronavirus in Germany assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

3,800

-

Apr 16

4,050

+248 (+6.52%)

Apr 17

4,350

+300 (+7.4%)

Apr 18

4,460

+107 (+2.46%)

Apr 19

4,590

+127 (+2.85%)

Apr 20

4,860

+276 (+6.02%)

Apr 21

5,030

+171 (+3.52%)

Apr 22

5,280

+246 (+4.89%)

Apr 23

5,580

+296 (+5.61%)

Apr 24

5,760

+185 (+3.32%)

Apr 25

6,060
6,000 - 6,120

+302 (+5.25%)

Apr 26

6,350
6,280 - 6,410

+285 (+4.7%)

Apr 27

6,650
6,580 - 6,710

+298 (+4.7%)

Apr 28

6,960
6,890 - 7,030

+312 (+4.7%)

Apr 29

7,280
7,210 - 7,360

+327 (+4.7%)

Apr 30

7,630
7,550 - 7,700

+342 (+4.7%)

May 1

7,990
7,910 - 8,070

+359 (+4.7%)

May 2

8,360
8,280 - 8,440

+375 (+4.7%)

May 3

8,750
8,670 - 8,840

+393 (+4.7%)

May 4

9,170
9,080 - 9,260

+411 (+4.7%)

What is the mortality rate in Germany?

Deaths by coronavirus versus statistical death rate

2,660510248300107127276171246296185Apr 15Apr 24)}

In Germany, approx. 1.17% of the population die each year. With a population of roughly 82,900,000 people in Germany, that corresponds to about 2,660 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.

Coronavirus mortality rate with time-lag correction

3.7%3.8%3.8%3.9%3.9%4%4%4.1%4.2%4.3%4.4%4.4%4.5%4.6%4.7%0 days14 days)}

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 Germany would be approx. 4.1%.

The graph aboves shows the mortality depending on different presumed lag.

What was the daily increase in the last days in Germany?

Coronavirus infections

2.58%2.19%2.69%1.38%1.29%1.3%0.834%1.59%1.65%1.22%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Germany in the previous days.

Deaths by coronavirus

15.5%6.52%7.4%2.46%2.85%6.02%3.52%4.89%5.61%3.32%Apr 15Apr 24)}

The graph shows the daily increase of reported deaths by coronavirus in Germany in the previous days.

How could the occupation of intensive care beds in Germany develop?

High standardMedium standard549Apr 25

The graph tries to predict the number of required intensive care units in Germany. We assume the following:

  • The exponential trend of the past few days has continued and reported cases are active for around 12 days. 2% of active cases are so critical that an intensive care bed is required.
  • High standard: There are 30 intensive care beds per 100,000 inhabitants (24,900 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (12,400 total).

Coronavirus in Baden-Württemberg

How were the past few days in Baden-Württemberg and how could it go on?

Coronavirus infections

30,200Apr 2426,500Apr 1734,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Baden-Württemberg of about 1.23% each day. That corresponds to a doubling of the numbers approx. every 57 days.

The graph above and the following table show the course of reported coronavirus infections in Baden-Württemberg assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

26,500

-

Apr 18

27,300

+715 (+2.69%)

Apr 19

27,900

+625 (+2.29%)

Apr 20

28,300

+370 (+1.33%)

Apr 21

28,700

+459 (+1.62%)

Apr 22

28,900

+186 (+0.648%)

Apr 22

29,400

+545 (+1.89%)

Apr 23

29,400

+0 (+0%)

Apr 23

29,800

+349 (+1.19%)

Apr 24

30,200

+377 (+1.27%)

Apr 25

30,400
30,100 - 30,800

+274 (+0.908%)

Apr 26

30,800
30,500 - 31,100

+373 (+1.23%)

Apr 27

31,200
30,900 - 31,500

+378 (+1.23%)

Apr 28

31,600
31,200 - 31,900

+382 (+1.23%)

Apr 29

32,000
31,600 - 32,300

+387 (+1.23%)

Apr 30

32,400
32,000 - 32,700

+392 (+1.23%)

May 1

32,800
32,400 - 33,100

+396 (+1.23%)

May 2

33,200
32,800 - 33,500

+401 (+1.23%)

May 3

33,600
33,200 - 33,900

+406 (+1.23%)

May 4

34,000
33,600 - 34,300

+411 (+1.23%)

What was the daily increase in the last days in Baden-Württemberg?

Coronavirus infections

2.56%2.69%2.29%1.33%1.62%0.648%1.89%0%1.19%1.27%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Baden-Württemberg in the previous days.

Coronavirus in Bayern

How were the past few days in Bayern and how could it go on?

Coronavirus infections

40,500Apr 2436,000Apr 1746,700May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Bayern of about 1.45% each day. That corresponds to a doubling of the numbers approx. every 48 days.

The graph above and the following table show the course of reported coronavirus infections in Bayern assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

36,000

-

Apr 18

36,900

+854 (+2.37%)

Apr 19

37,400

+526 (+1.43%)

Apr 20

37,800

+442 (+1.18%)

Apr 21

38,300

+461 (+1.22%)

Apr 22

38,800

+504 (+1.32%)

Apr 22

39,400

+581 (+1.5%)

Apr 23

39,400

+0 (+0%)

Apr 23

39,900

+544 (+1.38%)

Apr 24

40,500

+608 (+1.52%)

Apr 25

41,000
40,500 - 41,500

+433 (+1.07%)

Apr 26

41,600
41,100 - 42,100

+595 (+1.45%)

Apr 27

42,200
41,700 - 42,700

+603 (+1.45%)

Apr 28

42,800
42,300 - 43,300

+612 (+1.45%)

Apr 29

43,400
42,900 - 43,900

+621 (+1.45%)

Apr 30

44,000
43,500 - 44,600

+630 (+1.45%)

May 1

44,700
44,100 - 45,200

+639 (+1.45%)

May 2

45,300
44,800 - 45,900

+649 (+1.45%)

May 3

46,000
45,400 - 46,600

+658 (+1.45%)

May 4

46,700
46,100 - 47,200

+668 (+1.45%)

What was the daily increase in the last days in Bayern?

Coronavirus infections

2.52%2.37%1.43%1.18%1.22%1.32%1.5%0%1.38%1.52%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Bayern in the previous days.

Coronavirus in Berlin

How were the past few days in Berlin and how could it go on?

Coronavirus infections

5,530Apr 244,950Apr 176,630May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Berlin of about 1.87% each day. That corresponds to a doubling of the numbers approx. every 37 days.

The graph above and the following table show the course of reported coronavirus infections in Berlin assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

4,950

-

Apr 18

5,070

+121 (+2.45%)

Apr 19

5,160

+93 (+1.84%)

Apr 20

5,200

+37 (+0.717%)

Apr 21

5,240

+41 (+0.789%)

Apr 22

5,310

+75 (+1.43%)

Apr 22

5,320

+12 (+0.226%)

Apr 23

5,320

+0 (+0%)

Apr 23

5,460

+135 (+2.54%)

Apr 24

5,530

+66 (+1.21%)

Apr 25

5,610
5,510 - 5,720

+86 (+1.56%)

Apr 26

5,720
5,610 - 5,820

+105 (+1.87%)

Apr 27

5,820
5,720 - 5,930

+107 (+1.87%)

Apr 28

5,930
5,820 - 6,040

+109 (+1.87%)

Apr 29

6,040
5,930 - 6,160

+111 (+1.87%)

Apr 30

6,160
6,040 - 6,270

+113 (+1.87%)

May 1

6,270
6,160 - 6,390

+115 (+1.87%)

May 2

6,390
6,270 - 6,510

+117 (+1.87%)

May 3

6,510
6,390 - 6,630

+119 (+1.87%)

May 4

6,630
6,510 - 6,750

+122 (+1.87%)

What was the daily increase in the last days in Berlin?

Coronavirus infections

2%2.45%1.84%0.717%0.789%1.43%0.226%0%2.54%1.21%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Berlin in the previous days.

Coronavirus in Brandenburg

How were the past few days in Brandenburg and how could it go on?

Coronavirus infections

2,630Apr 242,120Apr 173,710May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Brandenburg of about 3.61% each day. That corresponds to a doubling of the numbers approx. every 20 days.

The graph above and the following table show the course of reported coronavirus infections in Brandenburg assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

2,120

-

Apr 18

2,160

+41 (+1.93%)

Apr 19

2,220

+60 (+2.78%)

Apr 20

2,240

+17 (+0.765%)

Apr 21

2,280

+37 (+1.65%)

Apr 22

2,390

+114 (+5.01%)

Apr 22

2,450

+58 (+2.43%)

Apr 23

2,450

+0 (+0%)

Apr 23

2,540

+89 (+3.64%)

Apr 24

2,630

+91 (+3.59%)

Apr 25

2,700
2,620 - 2,780

+71 (+2.7%)

Apr 26

2,800
2,710 - 2,880

+97 (+3.61%)

Apr 27

2,900
2,810 - 2,990

+101 (+3.61%)

Apr 28

3,000
2,910 - 3,100

+105 (+3.61%)

Apr 29

3,110
3,020 - 3,210

+108 (+3.61%)

Apr 30

3,220
3,120 - 3,320

+112 (+3.61%)

May 1

3,340
3,240 - 3,440

+116 (+3.61%)

May 2

3,460
3,350 - 3,570

+121 (+3.61%)

May 3

3,580
3,480 - 3,700

+125 (+3.61%)

May 4

3,710
3,600 - 3,830

+129 (+3.61%)

What was the daily increase in the last days in Brandenburg?

Coronavirus infections

3.01%1.93%2.78%0.765%1.65%5.01%2.43%0%3.64%3.59%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Brandenburg in the previous days.

Coronavirus in Bremen

How were the past few days in Bremen and how could it go on?

Coronavirus infections

719Apr 24556Apr 171,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Bremen of about 3.44% each day. That corresponds to a doubling of the numbers approx. every 21 days.

The graph above and the following table show the course of reported coronavirus infections in Bremen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

556

-

Apr 18

567

+11 (+1.98%)

Apr 19

585

+18 (+3.17%)

Apr 20

604

+19 (+3.25%)

Apr 21

609

+5 (+0.828%)

Apr 22

624

+15 (+2.46%)

Apr 22

672

+48 (+7.69%)

Apr 23

672

+0 (+0%)

Apr 23

707

+35 (+5.21%)

Apr 24

719

+12 (+1.7%)

Apr 25

741
714 - 768

+22 (+3%)

Apr 26

766
738 - 795

+25 (+3.44%)

Apr 27

792
764 - 822

+26 (+3.44%)

Apr 28

820
790 - 850

+27 (+3.44%)

Apr 29

848
817 - 880

+28 (+3.44%)

Apr 30

877
845 - 910

+29 (+3.44%)

May 1

907
874 - 941

+30 (+3.44%)

May 2

938
904 - 974

+31 (+3.44%)

May 3

971
935 - 1,010

+32 (+3.44%)

May 4

1,000
968 - 1,040

+33 (+3.44%)

What was the daily increase in the last days in Bremen?

Coronavirus infections

9.66%1.98%3.17%3.25%0.828%2.46%7.69%0%5.21%1.7%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Bremen in the previous days.

Coronavirus in Hamburg

How were the past few days in Hamburg and how could it go on?

Coronavirus infections

4,400Apr 244,010Apr 175,010May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Hamburg of about 1.32% each day. That corresponds to a doubling of the numbers approx. every 53 days.

The graph above and the following table show the course of reported coronavirus infections in Hamburg assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

4,010

-

Apr 18

4,120

+113 (+2.82%)

Apr 19

4,170

+49 (+1.19%)

Apr 20

4,190

+18 (+0.432%)

Apr 21

4,200

+19 (+0.454%)

Apr 22

4,200

+0 (+0%)

Apr 22

4,290

+82 (+1.95%)

Apr 23

4,290

+0 (+0%)

Apr 23

4,360

+72 (+1.68%)

Apr 24

4,400

+42 (+0.964%)

Apr 25

4,450
4,390 - 4,500

+47 (+1.08%)

Apr 26

4,510
4,450 - 4,560

+59 (+1.32%)

Apr 27

4,570
4,510 - 4,620

+60 (+1.32%)

Apr 28

4,630
4,570 - 4,690

+60 (+1.32%)

Apr 29

4,690
4,630 - 4,750

+61 (+1.32%)

Apr 30

4,750
4,690 - 4,810

+62 (+1.32%)

May 1

4,810
4,750 - 4,870

+63 (+1.32%)

May 2

4,880
4,810 - 4,940

+64 (+1.32%)

May 3

4,940
4,880 - 5,000

+64 (+1.32%)

May 4

5,010
4,940 - 5,070

+65 (+1.32%)

What was the daily increase in the last days in Hamburg?

Coronavirus infections

1.32%2.82%1.19%0.432%0.454%0%1.95%0%1.68%0.964%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Hamburg in the previous days.

Coronavirus in Hessen

How were the past few days in Hessen and how could it go on?

Coronavirus infections

7,840Apr 246,710Apr 179,140May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Hessen of about 1.59% each day. That corresponds to a doubling of the numbers approx. every 44 days.

The graph above and the following table show the course of reported coronavirus infections in Hessen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

6,710

-

Apr 18

6,920

+211 (+3.15%)

Apr 19

7,110

+192 (+2.78%)

Apr 20

7,180

+69 (+0.971%)

Apr 21

7,230

+54 (+0.752%)

Apr 22

7,380

+149 (+2.06%)

Apr 22

7,590

+213 (+2.89%)

Apr 23

7,590

+0 (+0%)

Apr 23

7,710

+119 (+1.57%)

Apr 24

7,840

+125 (+1.62%)

Apr 25

7,930
7,820 - 8,040

+93 (+1.19%)

Apr 26

8,060
7,950 - 8,170

+126 (+1.59%)

Apr 27

8,180
8,070 - 8,300

+128 (+1.59%)

Apr 28

8,320
8,200 - 8,430

+130 (+1.59%)

Apr 29

8,450
8,330 - 8,560

+133 (+1.59%)

Apr 30

8,580
8,470 - 8,700

+135 (+1.59%)

May 1

8,720
8,600 - 8,840

+137 (+1.59%)

May 2

8,860
8,740 - 8,980

+139 (+1.59%)

May 3

9,000
8,880 - 9,120

+141 (+1.59%)

May 4

9,140
9,020 - 9,270

+143 (+1.59%)

What was the daily increase in the last days in Hessen?

Coronavirus infections

3.63%3.15%2.78%0.971%0.752%2.06%2.89%0%1.57%1.62%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Hessen in the previous days.

Coronavirus in Mecklenburg-Vorpommern

How were the past few days in Mecklenburg-Vorpommern and how could it go on?

Coronavirus infections

667Apr 24634Apr 17707May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Mecklenburg-Vorpommern of about 0.605% each day. That corresponds to a doubling of the numbers approx. every 110 days.

The graph above and the following table show the course of reported coronavirus infections in Mecklenburg-Vorpommern assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

634

-

Apr 18

645

+11 (+1.74%)

Apr 19

651

+6 (+0.93%)

Apr 20

653

+2 (+0.307%)

Apr 21

655

+2 (+0.306%)

Apr 22

656

+1 (+0.153%)

Apr 22

659

+3 (+0.457%)

Apr 23

659

+0 (+0%)

Apr 23

661

+2 (+0.303%)

Apr 24

667

+6 (+0.908%)

Apr 25

670
666 - 673

+3 (+0.378%)

Apr 26

674
670 - 677

+4 (+0.605%)

Apr 27

678
674 - 681

+4 (+0.605%)

Apr 28

682
678 - 685

+4 (+0.605%)

Apr 29

686
682 - 689

+4 (+0.605%)

Apr 30

690
687 - 693

+4 (+0.605%)

May 1

694
691 - 698

+4 (+0.605%)

May 2

698
695 - 702

+4 (+0.605%)

May 3

703
699 - 706

+4 (+0.605%)

May 4

707
703 - 710

+4 (+0.605%)

What was the daily increase in the last days in Mecklenburg-Vorpommern?

Coronavirus infections

0%1.74%0.93%0.307%0.306%0.153%0.457%0%0.303%0.908%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Mecklenburg-Vorpommern in the previous days.

Coronavirus in Niedersachsen

How were the past few days in Niedersachsen and how could it go on?

Coronavirus infections

9,690Apr 248,440Apr 1711,300May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Niedersachsen of about 1.58% each day. That corresponds to a doubling of the numbers approx. every 44 days.

The graph above and the following table show the course of reported coronavirus infections in Niedersachsen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

8,440

-

Apr 18

8,650

+207 (+2.45%)

Apr 19

8,800

+148 (+1.71%)

Apr 20

8,900

+103 (+1.17%)

Apr 21

9,100

+198 (+2.22%)

Apr 22

9,240

+138 (+1.52%)

Apr 22

9,390

+155 (+1.68%)

Apr 23

9,390

+0 (+0%)

Apr 23

9,540

+153 (+1.63%)

Apr 24

9,690

+147 (+1.54%)

Apr 25

9,810
9,670 - 9,940

+116 (+1.2%)

Apr 26

9,960
9,830 - 10,100

+155 (+1.58%)

Apr 27

10,100
9,980 - 10,300

+158 (+1.58%)

Apr 28

10,300
10,100 - 10,400

+160 (+1.58%)

Apr 29

10,400
10,300 - 10,600

+163 (+1.58%)

Apr 30

10,600
10,500 - 10,800

+166 (+1.58%)

May 1

10,800
10,600 - 10,900

+168 (+1.58%)

May 2

10,900
10,800 - 11,100

+171 (+1.58%)

May 3

11,100
11,000 - 11,300

+173 (+1.58%)

May 4

11,300
11,100 - 11,500

+176 (+1.58%)

What was the daily increase in the last days in Niedersachsen?

Coronavirus infections

3.1%2.45%1.71%1.17%2.22%1.52%1.68%0%1.63%1.54%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Niedersachsen in the previous days.

Coronavirus in Nordrhein-Westfalen

How were the past few days in Nordrhein-Westfalen and how could it go on?

Coronavirus infections

31,500Apr 2427,000Apr 1736,200May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Nordrhein-Westfalen of about 1.43% each day. That corresponds to a doubling of the numbers approx. every 49 days.

The graph above and the following table show the course of reported coronavirus infections in Nordrhein-Westfalen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

27,000

-

Apr 18

28,000

+976 (+3.61%)

Apr 19

28,500

+465 (+1.66%)

Apr 20

29,000

+500 (+1.76%)

Apr 21

29,400

+418 (+1.44%)

Apr 22

30,200

+796 (+2.71%)

Apr 22

30,600

+399 (+1.32%)

Apr 23

30,600

+0 (+0%)

Apr 23

31,100

+522 (+1.71%)

Apr 24

31,500

+359 (+1.15%)

Apr 25

31,800
31,400 - 32,200

+359 (+1.14%)

Apr 26

32,300
31,900 - 32,700

+455 (+1.43%)

Apr 27

32,700
32,300 - 33,200

+462 (+1.43%)

Apr 28

33,200
32,800 - 33,700

+468 (+1.43%)

Apr 29

33,700
33,200 - 34,100

+475 (+1.43%)

Apr 30

34,200
33,700 - 34,600

+482 (+1.43%)

May 1

34,700
34,200 - 35,100

+489 (+1.43%)

May 2

35,100
34,700 - 35,600

+496 (+1.43%)

May 3

35,700
35,200 - 36,100

+503 (+1.43%)

May 4

36,200
35,700 - 36,600

+510 (+1.43%)

What was the daily increase in the last days in Nordrhein-Westfalen?

Coronavirus infections

2.45%3.61%1.66%1.76%1.44%2.71%1.32%0%1.71%1.15%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Nordrhein-Westfalen in the previous days.

Coronavirus in Repatriierte

How were the past few days in Repatriierte and how could it go on?

Coronavirus infections

2Mar 32Feb 292Mar 13

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Repatriierte of about 3.64e-10% each day. That corresponds to a doubling of the numbers approx. every 190,000,000,000 days.

The graph above and the following table show the course of reported coronavirus infections in Repatriierte assuming that the numbers are following an exponential trend without any slowdown.

Feb 29

2

-

Mar 1

2

+0 (+0%)

Mar 1

2

+0 (+0%)

Mar 2

2

+0 (+0%)

Mar 2

2

+0 (+0%)

Mar 3

2

+0 (+0%)

Mar 4

2
2 - 2

+0 (+7.28e-10%)

Mar 5

2
2 - 2

+0 (+3.64e-10%)

Mar 6

2
2 - 2

+0 (+3.64e-10%)

Mar 7

2
2 - 2

+0 (+3.64e-10%)

Mar 8

2
2 - 2

+0 (+3.64e-10%)

Mar 9

2
2 - 2

+0 (+3.64e-10%)

Mar 10

2
2 - 2

+0 (+3.64e-10%)

Mar 11

2
2 - 2

+0 (+3.64e-10%)

Mar 12

2
2 - 2

+0 (+3.64e-10%)

Mar 13

2
2 - 2

+0 (+3.64e-10%)

What was the daily increase in the last days in Repatriierte?

Coronavirus infections

0%0%0%0%0%Mar 1Mar 3)}

The graph above shows the daily increase of reported coronavirus infections in Repatriierte in the previous days.

Coronavirus in Rheinland-Pfalz

How were the past few days in Rheinland-Pfalz and how could it go on?

Coronavirus infections

5,770Apr 245,210Apr 176,420May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Rheinland-Pfalz of about 1.09% each day. That corresponds to a doubling of the numbers approx. every 64 days.

The graph above and the following table show the course of reported coronavirus infections in Rheinland-Pfalz assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

5,210

-

Apr 18

5,320

+113 (+2.17%)

Apr 19

5,430

+108 (+2.03%)

Apr 20

5,520

+91 (+1.68%)

Apr 21

5,560

+38 (+0.688%)

Apr 22

5,590

+32 (+0.575%)

Apr 22

5,640

+50 (+0.894%)

Apr 23

5,640

+0 (+0%)

Apr 23

5,730

+88 (+1.56%)

Apr 24

5,770

+36 (+0.628%)

Apr 25

5,820
5,760 - 5,890

+54 (+0.935%)

Apr 26

5,880
5,820 - 5,950

+64 (+1.09%)

Apr 27

5,950
5,880 - 6,020

+64 (+1.09%)

Apr 28

6,010
5,950 - 6,080

+65 (+1.09%)

Apr 29

6,080
6,010 - 6,150

+66 (+1.09%)

Apr 30

6,150
6,080 - 6,220

+66 (+1.09%)

May 1

6,210
6,140 - 6,280

+67 (+1.09%)

May 2

6,280
6,210 - 6,350

+68 (+1.09%)

May 3

6,350
6,280 - 6,420

+69 (+1.09%)

May 4

6,420
6,350 - 6,490

+69 (+1.09%)

What was the daily increase in the last days in Rheinland-Pfalz?

Coronavirus infections

2.44%2.17%2.03%1.68%0.688%0.575%0.894%0%1.56%0.628%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Rheinland-Pfalz in the previous days.

Coronavirus in Saarland

How were the past few days in Saarland and how could it go on?

Coronavirus infections

2,470Apr 242,250Apr 172,860May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Saarland of about 1.51% each day. That corresponds to a doubling of the numbers approx. every 46 days.

The graph above and the following table show the course of reported coronavirus infections in Saarland assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

2,250

-

Apr 18

2,290

+35 (+1.55%)

Apr 19

2,300

+14 (+0.612%)

Apr 20

2,310

+11 (+0.478%)

Apr 21

2,330

+14 (+0.605%)

Apr 22

2,370

+39 (+1.68%)

Apr 22

2,400

+28 (+1.18%)

Apr 23

2,400

+0 (+0%)

Apr 23

2,450

+50 (+2.09%)

Apr 24

2,470

+23 (+0.941%)

Apr 25

2,500
2,460 - 2,540

+31 (+1.28%)

Apr 26

2,540
2,500 - 2,580

+38 (+1.51%)

Apr 27

2,580
2,540 - 2,620

+38 (+1.51%)

Apr 28

2,610
2,570 - 2,660

+39 (+1.51%)

Apr 29

2,650
2,610 - 2,700

+40 (+1.51%)

Apr 30

2,690
2,650 - 2,740

+40 (+1.51%)

May 1

2,740
2,690 - 2,780

+41 (+1.51%)

May 2

2,780
2,730 - 2,820

+41 (+1.51%)

May 3

2,820
2,780 - 2,860

+42 (+1.51%)

May 4

2,860
2,820 - 2,910

+43 (+1.51%)

What was the daily increase in the last days in Saarland?

Coronavirus infections

2.41%1.55%0.612%0.478%0.605%1.68%1.18%0%2.09%0.941%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Saarland in the previous days.

Coronavirus in Sachsen

How were the past few days in Sachsen and how could it go on?

Coronavirus infections

4,410Apr 244,050Apr 174,820May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Sachsen of about 0.909% each day. That corresponds to a doubling of the numbers approx. every 77 days.

The graph above and the following table show the course of reported coronavirus infections in Sachsen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

4,050

-

Apr 18

4,140

+92 (+2.27%)

Apr 19

4,190

+50 (+1.21%)

Apr 20

4,230

+39 (+0.931%)

Apr 21

4,250

+24 (+0.568%)

Apr 22

4,270

+20 (+0.47%)

Apr 22

4,330

+54 (+1.26%)

Apr 23

4,330

+0 (+0%)

Apr 23

4,380

+50 (+1.16%)

Apr 24

4,410

+29 (+0.663%)

Apr 25

4,440
4,400 - 4,480

+33 (+0.742%)

Apr 26

4,480
4,440 - 4,520

+40 (+0.909%)

Apr 27

4,520
4,480 - 4,560

+41 (+0.909%)

Apr 28

4,560
4,520 - 4,600

+41 (+0.909%)

Apr 29

4,600
4,560 - 4,640

+41 (+0.909%)

Apr 30

4,640
4,600 - 4,680

+42 (+0.909%)

May 1

4,690
4,650 - 4,730

+42 (+0.909%)

May 2

4,730
4,690 - 4,770

+43 (+0.909%)

May 3

4,770
4,730 - 4,810

+43 (+0.909%)

May 4

4,820
4,770 - 4,860

+43 (+0.909%)

What was the daily increase in the last days in Sachsen?

Coronavirus infections

2.35%2.27%1.21%0.931%0.568%0.47%1.26%0%1.16%0.663%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Sachsen in the previous days.

Coronavirus in Sachsen-Anhalt

How were the past few days in Sachsen-Anhalt and how could it go on?

Coronavirus infections

1,480Apr 241,280Apr 171,780May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Sachsen-Anhalt of about 1.91% each day. That corresponds to a doubling of the numbers approx. every 37 days.

The graph above and the following table show the course of reported coronavirus infections in Sachsen-Anhalt assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

1,280

-

Apr 18

1,320

+36 (+2.81%)

Apr 19

1,350

+35 (+2.66%)

Apr 20

1,370

+19 (+1.41%)

Apr 21

1,380

+14 (+1.02%)

Apr 22

1,400

+12 (+0.868%)

Apr 22

1,430

+30 (+2.15%)

Apr 23

1,430

+0 (+0%)

Apr 23

1,440

+11 (+0.772%)

Apr 24

1,480

+44 (+3.06%)

Apr 25

1,500
1,470 - 1,520

+17 (+1.15%)

Apr 26

1,530
1,500 - 1,550

+29 (+1.91%)

Apr 27

1,550
1,530 - 1,580

+29 (+1.91%)

Apr 28

1,580
1,560 - 1,610

+30 (+1.91%)

Apr 29

1,610
1,590 - 1,640

+30 (+1.91%)

Apr 30

1,650
1,620 - 1,670

+31 (+1.91%)

May 1

1,680
1,650 - 1,700

+31 (+1.91%)

May 2

1,710
1,680 - 1,740

+32 (+1.91%)

May 3

1,740
1,710 - 1,770

+33 (+1.91%)

May 4

1,780
1,750 - 1,800

+33 (+1.91%)

What was the daily increase in the last days in Sachsen-Anhalt?

Coronavirus infections

2.48%2.81%2.66%1.41%1.02%0.868%2.15%0%0.772%3.06%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Sachsen-Anhalt in the previous days.

Coronavirus in Schleswig-Holstein

How were the past few days in Schleswig-Holstein and how could it go on?

Coronavirus infections

2,610Apr 242,350Apr 173,050May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Schleswig-Holstein of about 1.61% each day. That corresponds to a doubling of the numbers approx. every 43 days.

The graph above and the following table show the course of reported coronavirus infections in Schleswig-Holstein assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

2,350

-

Apr 18

2,390

+38 (+1.62%)

Apr 19

2,420

+30 (+1.26%)

Apr 20

2,430

+9 (+0.372%)

Apr 21

2,410

+-12 (+-0.495%)

Apr 22

2,500

+82 (+3.4%)

Apr 22

2,530

+34 (+1.36%)

Apr 23

2,530

+0 (+0%)

Apr 23

2,560

+27 (+1.07%)

Apr 24

2,610

+55 (+2.15%)

Apr 25

2,640
2,610 - 2,670

+28 (+1.07%)

Apr 26

2,680
2,650 - 2,720

+42 (+1.61%)

Apr 27

2,730
2,690 - 2,760

+43 (+1.61%)

Apr 28

2,770
2,730 - 2,810

+44 (+1.61%)

Apr 29

2,810
2,780 - 2,850

+45 (+1.61%)

Apr 30

2,860
2,820 - 2,900

+45 (+1.61%)

May 1

2,910
2,870 - 2,940

+46 (+1.61%)

May 2

2,950
2,910 - 2,990

+47 (+1.61%)

May 3

3,000
2,960 - 3,040

+47 (+1.61%)

May 4

3,050
3,010 - 3,090

+48 (+1.61%)

What was the daily increase in the last days in Schleswig-Holstein?

Coronavirus infections

2.4%1.62%1.26%0.372%-0.495%3.4%1.36%0%1.07%2.15%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Schleswig-Holstein in the previous days.

Coronavirus in Thüringen

How were the past few days in Thüringen and how could it go on?

Coronavirus infections

2,060Apr 241,680Apr 172,810May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Thüringen of about 3.21% each day. That corresponds to a doubling of the numbers approx. every 22 days.

The graph above and the following table show the course of reported coronavirus infections in Thüringen assuming that the numbers are following an exponential trend without any slowdown.

Apr 17

1,680

-

Apr 18

1,720

+35 (+2.08%)

Apr 19

1,760

+39 (+2.27%)

Apr 20

1,790

+29 (+1.65%)

Apr 21

1,800

+13 (+0.728%)

Apr 22

1,870

+74 (+4.12%)

Apr 22

1,930

+60 (+3.21%)

Apr 23

1,930

+0 (+0%)

Apr 23

2,020

+91 (+4.71%)

Apr 24

2,060

+35 (+1.73%)

Apr 25

2,110
2,040 - 2,190

+57 (+2.77%)

Apr 26

2,180
2,110 - 2,260

+68 (+3.21%)

Apr 27

2,250
2,180 - 2,330

+70 (+3.21%)

Apr 28

2,330
2,250 - 2,400

+72 (+3.21%)

Apr 29

2,400
2,320 - 2,480

+75 (+3.21%)

Apr 30

2,480
2,390 - 2,560

+77 (+3.21%)

May 1

2,560
2,470 - 2,640

+79 (+3.21%)

May 2

2,640
2,550 - 2,730

+82 (+3.21%)

May 3

2,720
2,630 - 2,820

+85 (+3.21%)

May 4

2,810
2,720 - 2,910

+87 (+3.21%)

What was the daily increase in the last days in Thüringen?

Coronavirus infections

5.06%2.08%2.27%1.65%0.728%4.12%3.21%0%4.71%1.73%Apr 17Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Thüringen in the previous days.

How can I protect myself and others?

The German Federal Ministry of Health recommends:

  • Keep the greatest possible distance when coughing or sneezing - it is best to turn away.
  • Sneeze into the crook of the arm or a handkerchief, which you can then dispose of.
  • Avoid touching when greeting other people and wash your hands regularly and thoroughly with soap and water for at least 20 seconds.

We do not guarantee the accuracy of the information.

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