Coronavirus in Canada

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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 Canada and how could it go on?

Coronavirus infections

44,100Apr 2428,200Apr 1564,600May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Canada of about 3.81% each day. That corresponds to a doubling of the numbers approx. every 19 days.

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

Apr 15

28,200

-

Apr 16

30,800

+2,600 (+9.22%)

Apr 17

32,800

+2,010 (+6.51%)

Apr 18

34,400

+1,540 (+4.7%)

Apr 19

35,600

+1,280 (+3.72%)

Apr 20

37,700

+2,030 (+5.68%)

Apr 21

39,400

+1,740 (+4.63%)

Apr 22

41,700

+2,250 (+5.71%)

Apr 23

43,300

+1,640 (+3.93%)

Apr 24

44,100

+770 (+1.78%)

Apr 25

46,200
45,300 - 47,100

+2,120 (+4.81%)

Apr 26

47,900
47,000 - 48,900

+1,760 (+3.81%)

Apr 27

49,800
48,800 - 50,700

+1,820 (+3.81%)

Apr 28

51,700
50,700 - 52,600

+1,890 (+3.81%)

Apr 29

53,600
52,600 - 54,600

+1,970 (+3.81%)

Apr 30

55,700
54,600 - 56,700

+2,040 (+3.81%)

May 1

57,800
56,700 - 58,900

+2,120 (+3.81%)

May 2

60,000
58,800 - 61,100

+2,200 (+3.81%)

May 3

62,300
61,100 - 63,400

+2,280 (+3.81%)

May 4

64,600
63,400 - 65,900

+2,370 (+3.81%)

Deaths by coronavirus

2,390Apr 241,010Apr 155,060May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Canada of about 7.74% each day. That corresponds to a doubling of the numbers approx. every 9.3 days.

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

Apr 15

1,010

-

Apr 16

1,260

+251 (+24.9%)

Apr 17

1,360

+97 (+7.71%)

Apr 18

1,400

+45 (+3.32%)

Apr 19

1,560

+164 (+11.7%)

Apr 20

1,730

+162 (+10.4%)

Apr 21

1,910

+183 (+10.6%)

Apr 22

2,080

+168 (+8.8%)

Apr 23

2,240

+164 (+7.9%)

Apr 24

2,390

+145 (+6.47%)

Apr 25

2,590
2,560 - 2,610

+199 (+8.35%)

Apr 26

2,790
2,760 - 2,820

+200 (+7.74%)

Apr 27

3,000
2,970 - 3,030

+215 (+7.74%)

Apr 28

3,230
3,200 - 3,270

+232 (+7.74%)

Apr 29

3,480
3,450 - 3,520

+250 (+7.74%)

Apr 30

3,750
3,710 - 3,790

+269 (+7.74%)

May 1

4,040
4,000 - 4,090

+290 (+7.74%)

May 2

4,360
4,310 - 4,400

+313 (+7.74%)

May 3

4,690
4,640 - 4,740

+337 (+7.74%)

May 4

5,060
5,000 - 5,110

+363 (+7.74%)

What is the mortality rate in Canada?

Deaths by coronavirus versus statistical death rate

8831072519745164162183168164145Apr 15Apr 24)}

In Canada, approx. 0.87% of the population die each year. With a population of roughly 37,100,000 people in Canada, that corresponds to about 883 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

5.4%5.5%5.7%6.1%6.3%6.7%6.9%7.3%7.7%8.5%8.8%9.3%9.8%10%11%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 Canada would be approx. 7.3%.

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

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

Coronavirus infections

4.34%9.22%6.51%4.7%3.72%5.68%4.63%5.71%3.93%1.78%Apr 15Apr 24)}

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

Deaths by coronavirus

11.9%24.9%7.71%3.32%11.7%10.4%10.6%8.8%7.9%6.47%Apr 15Apr 24)}

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

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

High standardMedium standard410Apr 25

The graph tries to predict the number of required intensive care units in Canada. 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 (11,100 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (5,560 total).

Coronavirus in Alberta

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

Coronavirus infections

4,020Apr 241,870Apr 159,650May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Alberta of about 9.11% each day. That corresponds to a doubling of the numbers approx. every 7.9 days.

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

Apr 15

1,870

-

Apr 16

2,000

+126 (+6.74%)

Apr 17

2,400

+401 (+20.1%)

Apr 18

2,560

+165 (+6.88%)

Apr 19

2,800

+241 (+9.41%)

Apr 20

2,910

+105 (+3.75%)

Apr 21

3,100

+187 (+6.43%)

Apr 22

3,400

+306 (+9.89%)

Apr 23

3,720

+319 (+9.38%)

Apr 24

4,020

+297 (+7.98%)

Apr 25

4,400
4,360 - 4,440

+387 (+9.63%)

Apr 26

4,810
4,760 - 4,850

+401 (+9.11%)

Apr 27

5,240
5,200 - 5,290

+438 (+9.11%)

Apr 28

5,720
5,670 - 5,770

+478 (+9.11%)

Apr 29

6,240
6,190 - 6,300

+521 (+9.11%)

Apr 30

6,810
6,750 - 6,870

+569 (+9.11%)

May 1

7,430
7,360 - 7,500

+620 (+9.11%)

May 2

8,110
8,040 - 8,180

+677 (+9.11%)

May 3

8,850
8,770 - 8,930

+739 (+9.11%)

May 4

9,650
9,570 - 9,740

+806 (+9.11%)

Deaths by coronavirus

72Apr 2448Apr 15122May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Alberta of about 5.41% each day. That corresponds to a doubling of the numbers approx. every 13 days.

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

Apr 15

48

-

Apr 16

48

+0 (+0%)

Apr 17

50

+2 (+4.17%)

Apr 18

51

+1 (+2%)

Apr 19

51

+0 (+0%)

Apr 20

59

+8 (+15.7%)

Apr 21

61

+2 (+3.39%)

Apr 22

66

+5 (+8.2%)

Apr 23

68

+2 (+3.03%)

Apr 24

72

+4 (+5.88%)

Apr 25

76
74 - 78

+4 (+5.58%)

Apr 26

80
79 - 82

+4 (+5.41%)

Apr 27

84
83 - 86

+4 (+5.41%)

Apr 28

89
87 - 91

+5 (+5.41%)

Apr 29

94
92 - 96

+5 (+5.41%)

Apr 30

99
97 - 101

+5 (+5.41%)

May 1

104
102 - 106

+5 (+5.41%)

May 2

110
108 - 112

+6 (+5.41%)

May 3

116
114 - 118

+6 (+5.41%)

May 4

122
120 - 125

+6 (+5.41%)

What is the mortality rate in Alberta?

Coronavirus mortality rate with time-lag correction

1.8%1.9%2.1%2.3%2.5%2.6%2.8%3%3.6%3.9%3.9%4.2%4.6%4.6%5%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 Alberta would be approx. 3%.

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

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

Coronavirus infections

0%6.74%20.1%6.88%9.41%3.75%6.43%9.89%9.38%7.98%Apr 15Apr 24)}

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

Deaths by coronavirus

0%0%4.17%2%0%15.7%3.39%8.2%3.03%5.88%Apr 15Apr 24)}

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

Coronavirus in British Columbia

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

Coronavirus infections

1,850Apr 241,520Apr 152,350May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in British Columbia of about 2.35% 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 British Columbia assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

1,520

-

Apr 16

1,560

+44 (+2.9%)

Apr 17

1,580

+14 (+0.897%)

Apr 18

1,620

+43 (+2.73%)

Apr 19

1,650

+29 (+1.79%)

Apr 20

1,650

+0 (+0%)

Apr 21

1,720

+77 (+4.68%)

Apr 22

1,800

+71 (+4.12%)

Apr 23

1,820

+29 (+1.62%)

Apr 24

1,850

+29 (+1.59%)

Apr 25

1,910
1,880 - 1,930

+53 (+2.86%)

Apr 26

1,950
1,920 - 1,980

+45 (+2.35%)

Apr 27

2,000
1,970 - 2,020

+46 (+2.35%)

Apr 28

2,040
2,020 - 2,070

+47 (+2.35%)

Apr 29

2,090
2,060 - 2,120

+48 (+2.35%)

Apr 30

2,140
2,110 - 2,170

+49 (+2.35%)

May 1

2,190
2,160 - 2,220

+50 (+2.35%)

May 2

2,240
2,210 - 2,270

+52 (+2.35%)

May 3

2,300
2,270 - 2,330

+53 (+2.35%)

May 4

2,350
2,320 - 2,380

+54 (+2.35%)

Deaths by coronavirus

98Apr 2472Apr 15146May 4

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

Apr 15

72

-

Apr 16

75

+3 (+4.17%)

Apr 17

77

+2 (+2.67%)

Apr 18

78

+1 (+1.3%)

Apr 19

81

+3 (+3.85%)

Apr 20

82

+1 (+1.23%)

Apr 21

87

+5 (+6.1%)

Apr 22

90

+3 (+3.45%)

Apr 23

94

+4 (+4.44%)

Apr 24

98

+4 (+4.26%)

Apr 25

102
101 - 102

+4 (+3.95%)

Apr 26

106
106 - 107

+4 (+4.09%)

Apr 27

110
110 - 111

+4 (+4.09%)

Apr 28

115
114 - 115

+5 (+4.09%)

Apr 29

120
119 - 120

+5 (+4.09%)

Apr 30

124
124 - 125

+5 (+4.09%)

May 1

130
129 - 130

+5 (+4.09%)

May 2

135
134 - 135

+5 (+4.09%)

May 3

140
140 - 141

+6 (+4.09%)

May 4

146
145 - 147

+6 (+4.09%)

What is the mortality rate in British Columbia?

Coronavirus mortality rate with time-lag correction

5.3%5.4%5.5%5.7%6%6%6.1%6.2%6.3%6.5%6.6%6.6%6.8%6.8%7.2%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 British Columbia would be approx. 6.2%.

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

What was the daily increase in the last days in British Columbia?

Coronavirus infections

1.81%2.9%0.897%2.73%1.79%0%4.68%4.12%1.62%1.59%Apr 15Apr 24)}

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

Deaths by coronavirus

4.35%4.17%2.67%1.3%3.85%1.23%6.1%3.45%4.44%4.26%Apr 15Apr 24)}

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

Coronavirus in Grand Princess

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

Coronavirus infections

13Apr 2113Apr 1213May 10

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

Apr 12

13

-

Apr 13

13

+0 (+0%)

Apr 14

13

+0 (+0%)

Apr 15

13

+0 (+0%)

Apr 16

13

+0 (+0%)

Apr 17

13

+0 (+0%)

Apr 18

13

+0 (+0%)

Apr 19

13

+0 (+0%)

Apr 20

13

+0 (+0%)

Apr 21

13

+0 (+0%)

Apr 22

13
13 - 13

+0 (+0%)

Apr 23

13
13 - 13

+0 (+0%)

Apr 24

13
13 - 13

+0 (+0%)

Apr 25

13
13 - 13

+0 (+0%)

Apr 26

13
13 - 13

+0 (+0%)

Apr 27

13
13 - 13

+0 (+0%)

Apr 28

13
13 - 13

+0 (+0%)

Apr 29

13
13 - 13

+0 (+0%)

Apr 30

13
13 - 13

+0 (+0%)

May 1

13
13 - 13

+0 (+0%)

Deaths by coronavirus

0Apr 210Apr 12

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

Apr 12

0

-

Apr 13

0

+0 (+0%)

Apr 14

0

+0 (+0%)

Apr 15

0

+0 (+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%)

What is the mortality rate in Grand Princess?

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 Grand Princess 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 Grand Princess?

Coronavirus infections

0%0%0%0%0%0%0%0%0%0%Apr 12Apr 21)}

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

Deaths by coronavirus

0%0%0%0%0%0%0%0%0%0%Apr 12Apr 21)}

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

Coronavirus in Manitoba

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

Coronavirus infections

263Apr 24246Apr 15295May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Manitoba of about 1.13% each day. That corresponds to a doubling of the numbers approx. every 62 days.

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

Apr 15

246

-

Apr 16

250

+4 (+1.63%)

Apr 17

250

+0 (+0%)

Apr 18

253

+3 (+1.2%)

Apr 19

254

+1 (+0.395%)

Apr 20

254

+0 (+0%)

Apr 21

255

+1 (+0.394%)

Apr 22

257

+2 (+0.784%)

Apr 23

262

+5 (+1.95%)

Apr 24

263

+1 (+0.382%)

Apr 25

267
265 - 268

+4 (+1.36%)

Apr 26

270
268 - 271

+3 (+1.13%)

Apr 27

273
271 - 274

+3 (+1.13%)

Apr 28

276
274 - 277

+3 (+1.13%)

Apr 29

279
277 - 281

+3 (+1.13%)

Apr 30

282
280 - 284

+3 (+1.13%)

May 1

285
283 - 287

+3 (+1.13%)

May 2

288
286 - 290

+3 (+1.13%)

May 3

292
290 - 293

+3 (+1.13%)

May 4

295
293 - 297

+3 (+1.13%)

Deaths by coronavirus

6Apr 245Apr 156May 40

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

Apr 15

5

-

Apr 16

5

+0 (+0%)

Apr 17

5

+0 (+0%)

Apr 18

5

+0 (+0%)

Apr 19

5

+0 (+0%)

Apr 20

6

+1 (+20%)

Apr 21

6

+0 (+0%)

Apr 22

6

+0 (+0%)

Apr 23

6

+0 (+0%)

Apr 24

6

+0 (+0%)

Apr 25

6
6 - 6

+0 (+0%)

Apr 26

6
6 - 6

+0 (+0%)

Apr 27

6
6 - 6

+0 (+0%)

Apr 28

6
6 - 6

+0 (+0%)

Apr 29

6
6 - 6

+0 (+0%)

Apr 30

6
6 - 6

+0 (+0%)

May 1

6
6 - 6

+0 (+0%)

May 2

6
6 - 6

+0 (+0%)

May 3

6
6 - 6

+0 (+0%)

May 4

6
6 - 6

+0 (+0%)

What is the mortality rate in Manitoba?

Coronavirus mortality rate with time-lag correction

2.3%2.3%2.3%2.4%2.4%2.4%2.4%2.4%2.4%2.4%2.4%2.4%2.5%2.5%2.6%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 Manitoba would be approx. 2.4%.

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

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

Coronavirus infections

0%1.63%0%1.2%0.395%0%0.394%0.784%1.95%0.382%Apr 15Apr 24)}

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

Deaths by coronavirus

25%0%0%0%0%20%0%0%0%0%Apr 15Apr 24)}

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

Coronavirus in New Brunswick

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

Coronavirus infections

118Apr 24117Apr 15118May 40

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

Apr 15

117

-

Apr 16

117

+0 (+0%)

Apr 17

117

+0 (+0%)

Apr 18

117

+0 (+0%)

Apr 19

118

+1 (+0.855%)

Apr 20

118

+0 (+0%)

Apr 21

118

+0 (+0%)

Apr 22

118

+0 (+0%)

Apr 23

118

+0 (+0%)

Apr 24

118

+0 (+0%)

Apr 25

118
118 - 118

+0 (+4.44e-14%)

Apr 26

118
118 - 118

+0 (+0%)

Apr 27

118
118 - 118

+0 (+0%)

Apr 28

118
118 - 118

+0 (+0%)

Apr 29

118
118 - 118

+0 (+0%)

Apr 30

118
118 - 118

+0 (+0%)

May 1

118
118 - 118

+0 (+0%)

May 2

118
118 - 118

+0 (+0%)

May 3

118
118 - 118

+0 (+0%)

May 4

118
118 - 118

+0 (+0%)

Deaths by coronavirus

0Apr 240Apr 15

The graph above and the following table show the course of reported deaths by coronavirus in New Brunswick 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 New Brunswick?

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 New Brunswick 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 New Brunswick?

Coronavirus infections

0.862%0%0%0%0.855%0%0%0%0%0%Apr 15Apr 24)}

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

Coronavirus in Newfoundland and Labrador

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

Coronavirus infections

256Apr 24247Apr 15253May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Newfoundland and Labrador of about -0.117% each day. That corresponds to a doubling of the numbers approx. every -,590 days.

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

Apr 15

247

-

Apr 16

252

+5 (+2.02%)

Apr 17

256

+4 (+1.59%)

Apr 18

257

+1 (+0.391%)

Apr 19

257

+0 (+0%)

Apr 20

257

+0 (+0%)

Apr 21

257

+0 (+0%)

Apr 22

256

+-1 (+-0.389%)

Apr 23

256

+0 (+0%)

Apr 24

256

+0 (+0%)

Apr 25

256
255 - 256

+0 (+-0.195%)

Apr 26

255
255 - 256

+0 (+-0.117%)

Apr 27

255
254 - 255

+0 (+-0.117%)

Apr 28

255
254 - 255

+0 (+-0.117%)

Apr 29

254
254 - 255

+0 (+-0.117%)

Apr 30

254
253 - 255

+0 (+-0.117%)

May 1

254
253 - 254

+0 (+-0.117%)

May 2

253
253 - 254

+0 (+-0.117%)

May 3

253
253 - 254

+0 (+-0.117%)

May 4

253
252 - 253

+0 (+-0.117%)

Deaths by coronavirus

3Apr 243Apr 153May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Newfoundland and Labrador 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 deaths by coronavirus in Newfoundland and Labrador 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

3

+0 (+0%)

Apr 20

3

+0 (+0%)

Apr 21

3

+0 (+0%)

Apr 22

3

+0 (+0%)

Apr 23

3

+0 (+0%)

Apr 24

3

+0 (+0%)

Apr 25

3
3 - 3

+0 (+-7.28e-10%)

Apr 26

3
3 - 3

+0 (+-2.91e-10%)

Apr 27

3
3 - 3

+0 (+-2.91e-10%)

Apr 28

3
3 - 3

+0 (+-2.91e-10%)

Apr 29

3
3 - 3

+0 (+-2.91e-10%)

Apr 30

3
3 - 3

+0 (+-2.91e-10%)

May 1

3
3 - 3

+0 (+-2.91e-10%)

May 2

3
3 - 3

+0 (+-2.91e-10%)

May 3

3
3 - 3

+0 (+-2.91e-10%)

May 4

3
3 - 3

+0 (+-2.91e-10%)

What is the mortality rate in Newfoundland and Labrador?

Coronavirus mortality rate with time-lag correction

1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.2%1.3%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 Newfoundland and Labrador would be approx. 1.2%.

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

What was the daily increase in the last days in Newfoundland and Labrador?

Coronavirus infections

1.23%2.02%1.59%0.391%0%0%0%-0.389%0%0%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Newfoundland and Labrador 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 Newfoundland and Labrador in the previous days.

Coronavirus in Northwest Territories

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

Coronavirus infections

5Apr 245Apr 155May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Northwest Territories 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 Northwest Territories assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

5

-

Apr 16

5

+0 (+0%)

Apr 17

5

+0 (+0%)

Apr 18

5

+0 (+0%)

Apr 19

5

+0 (+0%)

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 Northwest Territories 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 Northwest Territories?

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 Northwest Territories 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 Northwest Territories?

Coronavirus infections

0%0%0%0%0%0%0%0%0%0%Apr 15Apr 24)}

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

Coronavirus in Nova Scotia

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

Coronavirus infections

827Apr 23517Apr 141,290May 3

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Nova Scotia of about 4.69% 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 coronavirus infections in Nova Scotia assuming that the numbers are following an exponential trend without any slowdown.

Apr 14

517

-

Apr 15

549

+32 (+6.19%)

Apr 16

579

+30 (+5.46%)

Apr 17

606

+27 (+4.66%)

Apr 18

649

+43 (+7.1%)

Apr 19

675

+26 (+4.01%)

Apr 20

721

+46 (+6.81%)

Apr 21

737

+16 (+2.22%)

Apr 22

772

+35 (+4.75%)

Apr 23

827

+55 (+7.12%)

Apr 24

856
836 - 876

+29 (+3.48%)

Apr 25

896
875 - 917

+40 (+4.69%)

Apr 26

938
916 - 960

+42 (+4.69%)

Apr 27

982
959 - 1,010

+44 (+4.69%)

Apr 28

1,030
1,000 - 1,050

+46 (+4.69%)

Apr 29

1,080
1,050 - 1,100

+48 (+4.69%)

Apr 30

1,130
1,100 - 1,150

+50 (+4.69%)

May 1

1,180
1,150 - 1,210

+53 (+4.69%)

May 2

1,230
1,210 - 1,260

+55 (+4.69%)

May 3

1,290
1,260 - 1,320

+58 (+4.69%)

Deaths by coronavirus

16Apr 233Apr 14103May 3

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Nova Scotia of about 21% each day. That corresponds to a doubling of the numbers approx. every 3.6 days.

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

Apr 14

3

-

Apr 15

3

+0 (+0%)

Apr 16

3

+0 (+0%)

Apr 17

4

+1 (+33.3%)

Apr 18

7

+3 (+75%)

Apr 19

9

+2 (+28.6%)

Apr 20

9

+0 (+0%)

Apr 21

10

+1 (+11.1%)

Apr 22

12

+2 (+20%)

Apr 23

16

+4 (+33.3%)

Apr 24

18
17 - 20

+2 (+15.5%)

Apr 25

22
20 - 24

+4 (+21%)

Apr 26

27
25 - 30

+5 (+21%)

Apr 27

33
30 - 36

+6 (+21%)

Apr 28

40
36 - 43

+7 (+21%)

Apr 29

48
44 - 53

+8 (+21%)

Apr 30

58
53 - 64

+10 (+21%)

May 1

70
64 - 77

+12 (+21%)

May 2

85
78 - 93

+15 (+21%)

May 3

103
94 - 113

+18 (+21%)

What is the mortality rate in Nova Scotia?

Coronavirus mortality rate with time-lag correction

1.9%2.1%2.2%2.2%2.4%2.5%2.6%2.8%2.9%3.1%3.4%3.6%3.7%3.9%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 Nova Scotia would be approx. 2.8%.

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

What was the daily increase in the last days in Nova Scotia?

Coronavirus infections

9.07%6.19%5.46%4.66%7.1%4.01%6.81%2.22%4.75%7.12%Apr 14Apr 23)}

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

Deaths by coronavirus

0%0%0%33.3%75%28.6%0%11.1%20%33.3%Apr 14Apr 23)}

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

Coronavirus in Ontario

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

Coronavirus infections

14,600Apr 248,450Apr 1522,500May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Ontario of about 4.39% each day. That corresponds to a doubling of the numbers approx. every 16 days.

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

Apr 15

8,450

-

Apr 16

9,840

+1,390 (+16.5%)

Apr 17

10,500

+616 (+6.26%)

Apr 18

11,000

+557 (+5.33%)

Apr 19

11,600

+548 (+4.98%)

Apr 20

12,100

+502 (+4.34%)

Apr 21

12,700

+652 (+5.4%)

Apr 22

13,700

+1,000 (+7.89%)

Apr 23

14,100

+350 (+2.55%)

Apr 24

14,600

+482 (+3.43%)

Apr 25

15,300
14,900 - 15,700

+755 (+5.19%)

Apr 26

16,000
15,600 - 16,400

+672 (+4.39%)

Apr 27

16,700
16,300 - 17,100

+701 (+4.39%)

Apr 28

17,400
17,000 - 17,800

+732 (+4.39%)

Apr 29

18,200
17,700 - 18,600

+764 (+4.39%)

Apr 30

19,000
18,500 - 19,500

+798 (+4.39%)

May 1

19,800
19,300 - 20,300

+833 (+4.39%)

May 2

20,700
20,200 - 21,200

+869 (+4.39%)

May 3

21,600
21,100 - 22,100

+908 (+4.39%)

May 4

22,500
22,000 - 23,100

+947 (+4.39%)

Deaths by coronavirus

862Apr 24385Apr 151,750May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Ontario of about 7.32% each day. That corresponds to a doubling of the numbers approx. every 9.8 days.

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

Apr 15

385

-

Apr 16

490

+105 (+27.3%)

Apr 17

524

+34 (+6.94%)

Apr 18

564

+40 (+7.63%)

Apr 19

591

+27 (+4.79%)

Apr 20

624

+33 (+5.58%)

Apr 21

694

+70 (+11.2%)

Apr 22

762

+68 (+9.8%)

Apr 23

806

+44 (+5.77%)

Apr 24

862

+56 (+6.95%)

Apr 25

929
913 - 945

+67 (+7.77%)

Apr 26

997
980 - 1,010

+68 (+7.32%)

Apr 27

1,070
1,050 - 1,090

+73 (+7.32%)

Apr 28

1,150
1,130 - 1,170

+78 (+7.32%)

Apr 29

1,230
1,210 - 1,250

+84 (+7.32%)

Apr 30

1,320
1,300 - 1,350

+90 (+7.32%)

May 1

1,420
1,400 - 1,440

+97 (+7.32%)

May 2

1,520
1,500 - 1,550

+104 (+7.32%)

May 3

1,630
1,610 - 1,660

+112 (+7.32%)

May 4

1,750
1,720 - 1,780

+120 (+7.32%)

What is the mortality rate in Ontario?

Coronavirus mortality rate with time-lag correction

5.9%6.1%6.3%6.8%7.1%7.5%7.8%8.2%8.8%10%11%12%12%13%14%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 Ontario would be approx. 8.2%.

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

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

Coronavirus infections

6.21%16.5%6.26%5.33%4.98%4.34%5.4%7.89%2.55%3.43%Apr 15Apr 24)}

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

Deaths by coronavirus

15.3%27.3%6.94%7.63%4.79%5.58%11.2%9.8%5.77%6.95%Apr 15Apr 24)}

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

Coronavirus in Prince Edward Island

How were the past few days in Prince Edward Island and how could it go on?

Coronavirus infections

26Apr 2426Apr 1526May 40

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

Apr 15

26

-

Apr 16

26

+0 (+0%)

Apr 17

26

+0 (+0%)

Apr 18

26

+0 (+0%)

Apr 19

26

+0 (+0%)

Apr 20

26

+0 (+0%)

Apr 21

26

+0 (+0%)

Apr 22

26

+0 (+0%)

Apr 23

26

+0 (+0%)

Apr 24

26

+0 (+0%)

Apr 25

26
26 - 26

+0 (+2.22e-14%)

Apr 26

26
26 - 26

+0 (+0%)

Apr 27

26
26 - 26

+0 (+0%)

Apr 28

26
26 - 26

+0 (+0%)

Apr 29

26
26 - 26

+0 (+0%)

Apr 30

26
26 - 26

+0 (+0%)

May 1

26
26 - 26

+0 (+0%)

May 2

26
26 - 26

+0 (+0%)

May 3

26
26 - 26

+0 (+0%)

May 4

26
26 - 26

+0 (+0%)

Deaths by coronavirus

0Apr 240Apr 15

The graph above and the following table show the course of reported deaths by coronavirus in Prince Edward Island 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 Prince Edward Island?

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 Prince Edward Island 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 Prince Edward Island?

Coronavirus infections

4%0%0%0%0%0%0%0%0%0%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Prince Edward Island 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 Prince Edward Island in the previous days.

Coronavirus in Quebec

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

Coronavirus infections

22,600Apr 2414,900Apr 1533,500May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Quebec of about 3.98% each day. That corresponds to a doubling of the numbers approx. every 18 days.

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

Apr 15

14,900

-

Apr 16

15,900

+997 (+6.71%)

Apr 17

16,800

+941 (+5.93%)

Apr 18

17,500

+723 (+4.3%)

Apr 19

18,000

+429 (+2.45%)

Apr 20

19,300

+1,370 (+7.63%)

Apr 21

20,100

+807 (+4.18%)

Apr 22

21,000

+839 (+4.17%)

Apr 23

21,800

+873 (+4.16%)

Apr 24

22,600

+778 (+3.56%)

Apr 25

23,600
23,500 - 23,600

+942 (+4.17%)

Apr 26

24,500
24,400 - 24,600

+939 (+3.98%)

Apr 27

25,500
25,400 - 25,600

+976 (+3.98%)

Apr 28

26,500
26,400 - 26,600

+1,020 (+3.98%)

Apr 29

27,500
27,500 - 27,600

+1,060 (+3.98%)

Apr 30

28,600
28,500 - 28,700

+1,100 (+3.98%)

May 1

29,800
29,700 - 29,900

+1,140 (+3.98%)

May 2

31,000
30,900 - 31,100

+1,190 (+3.98%)

May 3

32,200
32,100 - 32,300

+1,230 (+3.98%)

May 4

33,500
33,400 - 33,600

+1,280 (+3.98%)

Deaths by coronavirus

1,340Apr 24487Apr 153,120May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Quebec of about 8.77% each day. That corresponds to a doubling of the numbers approx. every 8.2 days.

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

Apr 15

487

-

Apr 16

630

+143 (+29.4%)

Apr 17

688

+58 (+9.21%)

Apr 18

688

+0 (+0%)

Apr 19

820

+132 (+19.2%)

Apr 20

939

+119 (+14.5%)

Apr 21

1,040

+105 (+11.2%)

Apr 22

1,130

+90 (+8.62%)

Apr 23

1,240

+109 (+9.61%)

Apr 24

1,340

+97 (+7.8%)

Apr 25

1,460
1,450 - 1,470

+122 (+9.12%)

Apr 26

1,590
1,580 - 1,600

+128 (+8.77%)

Apr 27

1,730
1,720 - 1,740

+139 (+8.77%)

Apr 28

1,880
1,870 - 1,890

+152 (+8.77%)

Apr 29

2,050
2,030 - 2,060

+165 (+8.77%)

Apr 30

2,230
2,210 - 2,240

+179 (+8.77%)

May 1

2,420
2,400 - 2,440

+195 (+8.77%)

May 2

2,630
2,620 - 2,650

+212 (+8.77%)

May 3

2,860
2,840 - 2,880

+231 (+8.77%)

May 4

3,120
3,090 - 3,140

+251 (+8.77%)

What is the mortality rate in Quebec?

Coronavirus mortality rate with time-lag correction

5.9%6.1%6.4%6.7%6.9%7.5%7.6%8%8.5%9%9.4%9.9%10%11%11%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 Quebec would be approx. 8%.

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

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

Coronavirus infections

4.3%6.71%5.93%4.3%2.45%7.63%4.18%4.17%4.16%3.56%Apr 15Apr 24)}

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

Deaths by coronavirus

12%29.4%9.21%0%19.2%14.5%11.2%8.62%9.61%7.8%Apr 15Apr 24)}

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

Coronavirus in Saskatchewan

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

Coronavirus infections

341Apr 24304Apr 15417May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Saskatchewan of about 2.08% each day. That corresponds to a doubling of the numbers approx. every 34 days.

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

Apr 15

304

-

Apr 16

305

+1 (+0.329%)

Apr 17

307

+2 (+0.656%)

Apr 18

313

+6 (+1.95%)

Apr 19

315

+2 (+0.639%)

Apr 20

316

+1 (+0.317%)

Apr 21

320

+4 (+1.27%)

Apr 22

326

+6 (+1.88%)

Apr 23

331

+5 (+1.53%)

Apr 24

341

+10 (+3.02%)

Apr 25

347
344 - 349

+6 (+1.7%)

Apr 26

354
352 - 356

+7 (+2.08%)

Apr 27

361
359 - 364

+7 (+2.08%)

Apr 28

369
366 - 371

+8 (+2.08%)

Apr 29

377
374 - 379

+8 (+2.08%)

Apr 30

384
382 - 387

+8 (+2.08%)

May 1

392
390 - 395

+8 (+2.08%)

May 2

401
398 - 403

+8 (+2.08%)

May 3

409
406 - 412

+8 (+2.08%)

May 4

417
415 - 420

+9 (+2.08%)

Deaths by coronavirus

4Apr 244Apr 154May 4

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

Apr 15

4

-

Apr 16

4

+0 (+0%)

Apr 17

4

+0 (+0%)

Apr 18

4

+0 (+0%)

Apr 19

4

+0 (+0%)

Apr 20

4

+0 (+0%)

Apr 21

4

+0 (+0%)

Apr 22

4

+0 (+0%)

Apr 23

4

+0 (+0%)

Apr 24

4

+0 (+0%)

Apr 25

4
4 - 4

+0 (+-7.28e-10%)

Apr 26

4
4 - 4

+0 (+-2.91e-10%)

Apr 27

4
4 - 4

+0 (+-2.91e-10%)

Apr 28

4
4 - 4

+0 (+-2.91e-10%)

Apr 29

4
4 - 4

+0 (+-2.91e-10%)

Apr 30

4
4 - 4

+0 (+-2.91e-10%)

May 1

4
4 - 4

+0 (+-2.91e-10%)

May 2

4
4 - 4

+0 (+-2.91e-10%)

May 3

4
4 - 4

+0 (+-2.91e-10%)

May 4

4
4 - 4

+0 (+-2.91e-10%)

What is the mortality rate in Saskatchewan?

Coronavirus mortality rate with time-lag correction

1.2%1.2%1.2%1.3%1.3%1.3%1.3%1.3%1.3%1.3%1.3%1.3%1.3%1.4%1.4%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 Saskatchewan would be approx. 1.3%.

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

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

Coronavirus infections

1.33%0.329%0.656%1.95%0.639%0.317%1.27%1.88%1.53%3.02%Apr 15Apr 24)}

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

Coronavirus in Yukon

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

Coronavirus infections

11Apr 248Apr 1511May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Yukon of about -5.82e-10% 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 Yukon assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

8

-

Apr 16

8

+0 (+0%)

Apr 17

8

+0 (+0%)

Apr 18

9

+1 (+12.5%)

Apr 19

9

+0 (+0%)

Apr 20

11

+2 (+22.2%)

Apr 21

11

+0 (+0%)

Apr 22

11

+0 (+0%)

Apr 23

11

+0 (+0%)

Apr 24

11

+0 (+0%)

Apr 25

11
11 - 11

+0 (+-1.46e-9%)

Apr 26

11
11 - 11

+0 (+-5.82e-10%)

Apr 27

11
11 - 11

+0 (+-5.82e-10%)

Apr 28

11
11 - 11

+0 (+-5.82e-10%)

Apr 29

11
11 - 11

+0 (+-5.82e-10%)

Apr 30

11
11 - 11

+0 (+-5.82e-10%)

May 1

11
11 - 11

+0 (+-5.82e-10%)

May 2

11
11 - 11

+0 (+-5.82e-10%)

May 3

11
11 - 11

+0 (+-5.82e-10%)

May 4

11
11 - 11

+0 (+-5.82e-10%)

Deaths by coronavirus

0Apr 240Apr 15

The graph above and the following table show the course of reported deaths by coronavirus in Yukon 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 Yukon?

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 Yukon 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 Yukon?

Coronavirus infections

0%0%0%12.5%0%22.2%0%0%0%0%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in Yukon 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 Yukon 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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