Coronavirus in Netherlands

Stay home and save lives!
#StayHome
Share via
      


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 Netherlands and how could it go on?

Coronavirus infections

36,700Apr 2428,300Apr 1546,200May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Netherlands of about 2.31% each day. That corresponds to a doubling of the numbers approx. every 30 days.

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

Apr 15

28,300

-

Apr 16

29,400

+1,070 (+3.77%)

Apr 17

30,600

+1,240 (+4.21%)

Apr 18

31,800

+1,150 (+3.75%)

Apr 19

32,800

+1,070 (+3.37%)

Apr 20

33,600

+750 (+2.28%)

Apr 21

34,300

+729 (+2.17%)

Apr 22

35,000

+715 (+2.08%)

Apr 23

35,900

+889 (+2.54%)

Apr 24

36,700

+808 (+2.25%)

Apr 25

37,600
37,500 - 37,600

+849 (+2.31%)

Apr 26

38,400
38,400 - 38,500

+870 (+2.31%)

Apr 27

39,300
39,300 - 39,400

+890 (+2.31%)

Apr 28

40,200
40,200 - 40,300

+911 (+2.31%)

Apr 29

41,200
41,100 - 41,300

+932 (+2.31%)

Apr 30

42,100
42,100 - 42,200

+953 (+2.31%)

May 1

43,100
43,000 - 43,200

+975 (+2.31%)

May 2

44,100
44,000 - 44,200

+998 (+2.31%)

May 3

45,100
45,000 - 45,200

+1,020 (+2.31%)

May 4

46,200
46,100 - 46,300

+1,040 (+2.31%)

Deaths by coronavirus

4,300Apr 243,150Apr 155,840May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Netherlands of about 3.08% each day. That corresponds to a doubling of the numbers approx. every 23 days.

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

Apr 15

3,150

-

Apr 16

3,330

+182 (+5.79%)

Apr 17

3,470

+144 (+4.33%)

Apr 18

3,610

+142 (+4.09%)

Apr 19

3,700

+84 (+2.32%)

Apr 20

3,760

+67 (+1.81%)

Apr 21

3,930

+165 (+4.38%)

Apr 22

4,070

+139 (+3.54%)

Apr 23

4,190

+124 (+3.05%)

Apr 24

4,300

+112 (+2.67%)

Apr 25

4,450
4,430 - 4,460

+142 (+3.29%)

Apr 26

4,580
4,560 - 4,600

+137 (+3.08%)

Apr 27

4,720
4,700 - 4,740

+141 (+3.08%)

Apr 28

4,870
4,850 - 4,890

+146 (+3.08%)

Apr 29

5,020
5,000 - 5,040

+150 (+3.08%)

Apr 30

5,170
5,150 - 5,200

+155 (+3.08%)

May 1

5,330
5,310 - 5,360

+159 (+3.08%)

May 2

5,500
5,470 - 5,520

+164 (+3.08%)

May 3

5,670
5,640 - 5,690

+169 (+3.08%)

May 4

5,840
5,820 - 5,870

+175 (+3.08%)

What is the mortality rate in Netherlands?

Deaths by coronavirus versus statistical death rate

4201901821441428467165139124112Apr 15Apr 24)}

In Netherlands, approx. 0.89% of the population die each year. With a population of roughly 17,200,000 people in Netherlands, that corresponds to about 420 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

12%12%12%13%13%13%14%14%15%15%16%16%17%18%19%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 Netherlands would be approx. 14%.

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

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

Coronavirus infections

2.67%3.77%4.21%3.75%3.37%2.28%2.17%2.08%2.54%2.25%Apr 15Apr 24)}

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

Deaths by coronavirus

6.43%5.79%4.33%4.09%2.32%1.81%4.38%3.54%3.05%2.67%Apr 15Apr 24)}

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

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

High standardMedium standard217Apr 25

The graph tries to predict the number of required intensive care units in Netherlands. 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 (5,170 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (2,580 total).

Coronavirus in Aruba

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

Coronavirus infections

100Apr 2493Apr 15110May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Aruba of about 0.918% each day. That corresponds to a doubling of the numbers approx. every 76 days.

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

Apr 15

93

-

Apr 16

95

+2 (+2.15%)

Apr 17

96

+1 (+1.05%)

Apr 18

96

+0 (+0%)

Apr 19

97

+1 (+1.04%)

Apr 20

97

+0 (+0%)

Apr 21

97

+0 (+0%)

Apr 22

100

+3 (+3.09%)

Apr 23

100

+0 (+0%)

Apr 24

100

+0 (+0%)

Apr 25

102
100 - 103

+2 (+1.53%)

Apr 26

102
101 - 104

+0 (+0.918%)

Apr 27

103
102 - 105

+0 (+0.918%)

Apr 28

104
103 - 106

+0 (+0.918%)

Apr 29

105
104 - 107

+0 (+0.918%)

Apr 30

106
105 - 108

+0 (+0.918%)

May 1

107
105 - 109

+0 (+0.918%)

May 2

108
106 - 110

+0 (+0.918%)

May 3

109
107 - 111

+0 (+0.918%)

May 4

110
108 - 112

+1 (+0.918%)

Deaths by coronavirus

2Apr 241Apr 152May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Aruba of about -1.46e-10% each day. That corresponds to a doubling of the numbers approx. every -,480,000,000,000 days.

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

Apr 15

1

-

Apr 16

2

+1 (+100%)

Apr 17

2

+0 (+0%)

Apr 18

2

+0 (+0%)

Apr 19

2

+0 (+0%)

Apr 20

2

+0 (+0%)

Apr 21

2

+0 (+0%)

Apr 22

2

+0 (+0%)

Apr 23

2

+0 (+0%)

Apr 24

2

+0 (+0%)

Apr 25

2
2 - 2

+0 (+-3.64e-10%)

Apr 26

2
2 - 2

+0 (+-1.46e-10%)

Apr 27

2
2 - 2

+0 (+-1.46e-10%)

Apr 28

2
2 - 2

+0 (+-1.46e-10%)

Apr 29

2
2 - 2

+0 (+-1.46e-10%)

Apr 30

2
2 - 2

+0 (+-1.46e-10%)

May 1

2
2 - 2

+0 (+-1.46e-10%)

May 2

2
2 - 2

+0 (+-1.46e-10%)

May 3

2
2 - 2

+0 (+-1.46e-10%)

May 4

2
2 - 2

+0 (+-1.46e-10%)

What is the mortality rate in Aruba?

Coronavirus mortality rate with time-lag correction

2%2%2%2.1%2.1%2.1%2.1%2.1%2.1%2.2%2.2%2.2%2.2%2.2%2.3%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 Aruba would be approx. 2.1%.

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

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

Coronavirus infections

1.09%2.15%1.05%0%1.04%0%0%3.09%0%0%Apr 15Apr 24)}

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

Deaths by coronavirus

In,fin,ity%100%0%0%0%0%0%0%0%0%Apr 15Apr 24)}

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

Coronavirus in Bonaire, Sint Eustatius and Saba

How were the past few days in Bonaire, Sint Eustatius and Saba and how could it go on?

Coronavirus infections

5Apr 243Apr 155May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Bonaire, Sint Eustatius and Saba of about -2.91e-10% each day. That corresponds to a doubling of the numbers approx. every -,240,000,000,000 days.

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

Apr 15

3

-

Apr 16

3

+0 (+0%)

Apr 17

3

+0 (+0%)

Apr 18

3

+0 (+0%)

Apr 19

5

+2 (+66.7%)

Apr 20

5

+0 (+0%)

Apr 21

5

+0 (+0%)

Apr 22

5

+0 (+0%)

Apr 23

5

+0 (+0%)

Apr 24

5

+0 (+0%)

Apr 25

5
5 - 5

+0 (+-7.28e-10%)

Apr 26

5
5 - 5

+0 (+-2.91e-10%)

Apr 27

5
5 - 5

+0 (+-2.91e-10%)

Apr 28

5
5 - 5

+0 (+-2.91e-10%)

Apr 29

5
5 - 5

+0 (+-2.91e-10%)

Apr 30

5
5 - 5

+0 (+-2.91e-10%)

May 1

5
5 - 5

+0 (+-2.91e-10%)

May 2

5
5 - 5

+0 (+-2.91e-10%)

May 3

5
5 - 5

+0 (+-2.91e-10%)

May 4

5
5 - 5

+0 (+-2.91e-10%)

Deaths by coronavirus

0Apr 240Apr 15

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

Apr 15

0

-

Apr 16

0

+0 (+0%)

Apr 17

0

+0 (+0%)

Apr 18

0

+0 (+0%)

Apr 19

0

+0 (+0%)

Apr 20

0

+0 (+0%)

Apr 21

0

+0 (+0%)

Apr 22

0

+0 (+0%)

Apr 23

0

+0 (+0%)

Apr 24

0

+0 (+0%)

What is the mortality rate in Bonaire, Sint Eustatius and Saba?

Coronavirus mortality rate with time-lag correction

0%0%0%0%0%0%0%0%0%0%0%0%0%0%0%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 Bonaire, Sint Eustatius and Saba would be approx. 0%.

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

What was the daily increase in the last days in Bonaire, Sint Eustatius and Saba?

Coronavirus infections

0%0%0%0%66.7%0%0%0%0%0%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Bonaire, Sint Eustatius and Saba in the previous days.

Deaths by coronavirus

0%0%0%0%0%0%0%0%0%0%Apr 15Apr 24)}

The graph shows the daily increase of reported deaths by coronavirus in Bonaire, Sint Eustatius and Saba in the previous days.

Coronavirus in Curacao

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

Coronavirus infections

16Apr 2414Apr 1523May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Curacao of about 4.09% each day. That corresponds to a doubling of the numbers approx. every 17 days.

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

Apr 15

14

-

Apr 16

14

+0 (+0%)

Apr 17

14

+0 (+0%)

Apr 18

14

+0 (+0%)

Apr 19

14

+0 (+0%)

Apr 20

14

+0 (+0%)

Apr 21

14

+0 (+0%)

Apr 22

14

+0 (+0%)

Apr 23

14

+0 (+0%)

Apr 24

16

+2 (+14.3%)

Apr 25

16
15 - 17

+0 (+3.76e-10%)

Apr 26

17
15 - 18

+0 (+4.09%)

Apr 27

17
16 - 19

+0 (+4.09%)

Apr 28

18
17 - 19

+0 (+4.09%)

Apr 29

19
17 - 20

+0 (+4.09%)

Apr 30

20
18 - 21

+0 (+4.09%)

May 1

20
19 - 22

+0 (+4.09%)

May 2

21
20 - 23

+0 (+4.09%)

May 3

22
20 - 24

+0 (+4.09%)

May 4

23
21 - 25

+0 (+4.09%)

Deaths by coronavirus

1Apr 241Apr 15

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

Apr 15

1

-

Apr 16

1

+0 (+0%)

Apr 17

1

+0 (+0%)

Apr 18

1

+0 (+0%)

Apr 19

1

+0 (+0%)

Apr 20

1

+0 (+0%)

Apr 21

1

+0 (+0%)

Apr 22

1

+0 (+0%)

Apr 23

1

+0 (+0%)

Apr 24

1

+0 (+0%)

What is the mortality rate in Curacao?

Coronavirus mortality rate with time-lag correction

6.3%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%7.1%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 Curacao would be approx. 7.1%.

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

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

Coronavirus infections

0%0%0%0%0%0%0%0%0%14.3%Apr 15Apr 24)}

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

Deaths by coronavirus

0%0%0%0%0%0%0%0%0%0%Apr 15Apr 24)}

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

Coronavirus in Netherlands

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

Coronavirus infections

4,200Mar 221,410Mar 1625,800Apr 1

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Netherlands of about 19.7% each day. That corresponds to a doubling of the numbers approx. every 3.8 days.

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

Mar 16

1,410

-

Mar 17

1,710

+292 (+20.7%)

Mar 18

2,050

+346 (+20.3%)

Mar 19

2,460

+409 (+19.9%)

Mar 20

2,990

+534 (+21.7%)

Mar 21

3,630

+637 (+21.3%)

Mar 22

4,200

+573 (+15.8%)

Mar 23

5,110
4,970 - 5,250

+903 (+21.5%)

Mar 24

6,120
5,950 - 6,280

+1,010 (+19.7%)

Mar 25

7,320
7,130 - 7,520

+1,210 (+19.7%)

Mar 26

8,770
8,530 - 9,000

+1,440 (+19.7%)

Mar 27

10,500
10,200 - 10,800

+1,730 (+19.7%)

Mar 28

12,600
12,200 - 12,900

+2,070 (+19.7%)

Mar 29

15,000
14,600 - 15,500

+2,480 (+19.7%)

Mar 30

18,000
17,500 - 18,500

+2,970 (+19.7%)

Mar 31

21,600
21,000 - 22,200

+3,550 (+19.7%)

Apr 1

25,800
25,100 - 26,500

+4,250 (+19.7%)

Deaths by coronavirus

179Mar 2224Mar 163,030Apr 1

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Netherlands of about 32.6% each day. That corresponds to a doubling of the numbers approx. every 2.5 days.

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

Mar 16

24

-

Mar 17

43

+19 (+79.2%)

Mar 18

58

+15 (+34.9%)

Mar 19

76

+18 (+31%)

Mar 20

106

+30 (+39.5%)

Mar 21

136

+30 (+28.3%)

Mar 22

179

+43 (+31.6%)

Mar 23

239
231 - 249

+60 (+33.8%)

Mar 24

317
306 - 330

+78 (+32.6%)

Mar 25

421
405 - 437

+103 (+32.6%)

Mar 26

558
537 - 579

+137 (+32.6%)

Mar 27

740
712 - 768

+182 (+32.6%)

Mar 28

980
944 - 1,020

+241 (+32.6%)

Mar 29

1,300
1,250 - 1,350

+319 (+32.6%)

Mar 30

1,720
1,660 - 1,790

+423 (+32.6%)

Mar 31

2,280
2,200 - 2,370

+561 (+32.6%)

Apr 1

3,030
2,920 - 3,140

+744 (+32.6%)

What is the mortality rate in Netherlands?

Coronavirus mortality rate with time-lag correction

4.3%4.9%6%7.3%8.7%10%13%0 days6 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.

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

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

Coronavirus infections

20.7%20.3%19.9%21.7%21.3%15.8%Mar 17Mar 22)}

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

Deaths by coronavirus

79.2%34.9%31%39.5%28.3%31.6%Mar 17Mar 22)}

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

Coronavirus in Sint Maarten

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

Coronavirus infections

73Apr 2453Apr 1598May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Sint Maarten of about 2.89% each day. That corresponds to a doubling of the numbers approx. every 24 days.

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

Apr 15

53

-

Apr 16

57

+4 (+7.55%)

Apr 17

57

+0 (+0%)

Apr 18

64

+7 (+12.3%)

Apr 19

67

+3 (+4.69%)

Apr 20

67

+0 (+0%)

Apr 21

67

+0 (+0%)

Apr 22

71

+4 (+5.97%)

Apr 23

73

+2 (+2.82%)

Apr 24

73

+0 (+0%)

Apr 25

76
74 - 78

+3 (+4.38%)

Apr 26

78
76 - 81

+2 (+2.89%)

Apr 27

81
78 - 83

+2 (+2.89%)

Apr 28

83
81 - 85

+2 (+2.89%)

Apr 29

85
83 - 88

+2 (+2.89%)

Apr 30

88
85 - 90

+2 (+2.89%)

May 1

90
88 - 93

+3 (+2.89%)

May 2

93
90 - 96

+3 (+2.89%)

May 3

96
93 - 99

+3 (+2.89%)

May 4

98
96 - 101

+3 (+2.89%)

Deaths by coronavirus

12Apr 249Apr 1523May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Sint Maarten of about 6.55% 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 deaths by coronavirus in Sint Maarten assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

9

-

Apr 16

9

+0 (+0%)

Apr 17

9

+0 (+0%)

Apr 18

9

+0 (+0%)

Apr 19

10

+1 (+11.1%)

Apr 20

10

+0 (+0%)

Apr 21

10

+0 (+0%)

Apr 22

11

+1 (+10%)

Apr 23

12

+1 (+9.09%)

Apr 24

12

+0 (+0%)

Apr 25

13
12 - 14

+1 (+9.54%)

Apr 26

14
13 - 15

+0 (+6.55%)

Apr 27

15
14 - 16

+0 (+6.55%)

Apr 28

16
15 - 17

+0 (+6.55%)

Apr 29

17
16 - 18

+1 (+6.55%)

Apr 30

18
17 - 19

+1 (+6.55%)

May 1

19
18 - 20

+1 (+6.55%)

May 2

20
19 - 22

+1 (+6.55%)

May 3

22
21 - 23

+1 (+6.55%)

May 4

23
22 - 24

+1 (+6.55%)

What is the mortality rate in Sint Maarten?

Coronavirus mortality rate with time-lag correction

16%16%17%18%18%18%19%21%21%23%23%24%24%24%24%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 Sint Maarten would be approx. 21%.

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

What was the daily increase in the last days in Sint Maarten?

Coronavirus infections

1.92%7.55%0%12.3%4.69%0%0%5.97%2.82%0%Apr 15Apr 24)}

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

Deaths by coronavirus

0%0%0%0%11.1%0%0%10%9.09%0%Apr 15Apr 24)}

The graph shows the daily increase of reported deaths by coronavirus in Sint Maarten 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.

* = Sponsored links (All prices without obligation and subject to change)

Imprint | Privacy policy