Coronavirus in United States of America

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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 United States of America and how could it go on?

Coronavirus infections

905,000Apr 24636,000Apr 151,300,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in United States of America of about 3.67% 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 United States of America assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

636,000

-

Apr 16

668,000

+31,500 (+4.94%)

Apr 17

700,000

+31,900 (+4.78%)

Apr 18

732,000

+32,500 (+4.64%)

Apr 19

759,000

+26,900 (+3.67%)

Apr 20

784,000

+25,200 (+3.33%)

Apr 21

812,000

+27,500 (+3.51%)

Apr 22

840,000

+28,400 (+3.49%)

Apr 23

869,000

+29,000 (+3.45%)

Apr 24

905,000

+36,200 (+4.16%)

Apr 25

937,000
933,000 - 940,000

+31,400 (+3.47%)

Apr 26

971,000
968,000 - 975,000

+34,400 (+3.67%)

Apr 27

1,010,000
1,000,000 - 1,010,000

+35,700 (+3.67%)

Apr 28

1,040,000
1,040,000 - 1,050,000

+37,000 (+3.67%)

Apr 29

1,080,000
1,080,000 - 1,090,000

+38,300 (+3.67%)

Apr 30

1,120,000
1,120,000 - 1,130,000

+39,800 (+3.67%)

May 1

1,160,000
1,160,000 - 1,170,000

+41,200 (+3.67%)

May 2

1,210,000
1,200,000 - 1,210,000

+42,700 (+3.67%)

May 3

1,250,000
1,250,000 - 1,250,000

+44,300 (+3.67%)

May 4

1,300,000
1,290,000 - 1,300,000

+45,900 (+3.67%)

Deaths by coronavirus

51,900Apr 2428,300Apr 1589,300May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in United States of America of about 5.52% 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 United States of America assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

28,300

-

Apr 16

32,900

+4,590 (+16.2%)

Apr 17

36,800

+3,860 (+11.7%)

Apr 18

38,700

+1,890 (+5.14%)

Apr 19

40,700

+2,000 (+5.17%)

Apr 20

42,100

+1,430 (+3.52%)

Apr 21

44,400

+2,350 (+5.58%)

Apr 22

46,600

+2,180 (+4.9%)

Apr 23

50,000

+3,330 (+7.15%)

Apr 24

51,900

+2,000 (+3.99%)

Apr 25

55,100
54,400 - 55,800

+3,130 (+6.02%)

Apr 26

58,100
57,400 - 58,800

+3,040 (+5.52%)

Apr 27

61,300
60,600 - 62,100

+3,210 (+5.52%)

Apr 28

64,700
63,900 - 65,500

+3,380 (+5.52%)

Apr 29

68,300
67,400 - 69,100

+3,570 (+5.52%)

Apr 30

72,000
71,200 - 72,900

+3,770 (+5.52%)

May 1

76,000
75,100 - 77,000

+3,980 (+5.52%)

May 2

80,200
79,200 - 81,200

+4,190 (+5.52%)

May 3

84,600
83,600 - 85,700

+4,430 (+5.52%)

May 4

89,300
88,200 - 90,400

+4,670 (+5.52%)

What is the mortality rate in United States of America?

Deaths by coronavirus versus statistical death rate

7,3102,4904,5903,8601,8902,0001,4302,3502,1803,3302,000Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 327,000,000 people in United States of America, that corresponds to about 7,310 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

5.7%6%6.2%6.4%6.6%6.8%7.1%7.4%7.8%8.2%8.5%8.9%9.4%9.9%10%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 United States of America would be approx. 7.4%.

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

What was the daily increase in the last days in United States of America?

Coronavirus infections

4.72%4.94%4.78%4.64%3.67%3.33%3.51%3.49%3.45%4.16%Apr 15Apr 24)}

The graph above shows the daily increase of reported coronavirus infections in United States of America in the previous days.

Deaths by coronavirus

9.66%16.2%11.7%5.14%5.17%3.52%5.58%4.9%7.15%3.99%Apr 15Apr 24)}

The graph shows the daily increase of reported deaths by coronavirus in United States of America in the previous days.

How could the occupation of intensive care beds in United States of America develop?

High standardMedium standard7,120Apr 2549,100Jun 1998,200Jul 8

The graph tries to predict the number of required intensive care units in United States of America. 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 (98,200 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (49,100 total).

Coronavirus in Alabama

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

Coronavirus infections

6,030Apr 244,080Apr 159,190May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Alabama of about 4.26% 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 Alabama assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

4,080

-

Apr 16

4,350

+270 (+6.63%)

Apr 17

4,570

+226 (+5.2%)

Apr 18

4,710

+141 (+3.08%)

Apr 19

4,890

+176 (+3.74%)

Apr 20

5,080

+191 (+3.91%)

Apr 21

5,320

+238 (+4.69%)

Apr 22

5,590

+276 (+5.19%)

Apr 23

5,830

+239 (+4.27%)

Apr 24

6,030

+194 (+3.33%)

Apr 25

6,310
6,250 - 6,370

+285 (+4.73%)

Apr 26

6,580
6,520 - 6,640

+269 (+4.26%)

Apr 27

6,860
6,800 - 6,920

+280 (+4.26%)

Apr 28

7,150
7,090 - 7,220

+292 (+4.26%)

Apr 29

7,460
7,390 - 7,520

+305 (+4.26%)

Apr 30

7,780
7,710 - 7,850

+318 (+4.26%)

May 1

8,110
8,030 - 8,180

+331 (+4.26%)

May 2

8,450
8,380 - 8,530

+346 (+4.26%)

May 3

8,810
8,730 - 8,890

+360 (+4.26%)

May 4

9,190
9,110 - 9,270

+376 (+4.26%)

Deaths by coronavirus

209Apr 24118Apr 15323May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Alabama of about 4.38% 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 deaths by coronavirus in Alabama assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

118

-

Apr 16

133

+15 (+12.7%)

Apr 17

148

+15 (+11.3%)

Apr 18

153

+5 (+3.38%)

Apr 19

157

+4 (+2.61%)

Apr 20

163

+6 (+3.82%)

Apr 21

183

+20 (+12.3%)

Apr 22

196

+13 (+7.1%)

Apr 23

202

+6 (+3.06%)

Apr 24

209

+7 (+3.47%)

Apr 25

220
215 - 224

+11 (+5.06%)

Apr 26

229
225 - 234

+10 (+4.38%)

Apr 27

239
235 - 244

+10 (+4.38%)

Apr 28

250
245 - 255

+10 (+4.38%)

Apr 29

261
256 - 266

+11 (+4.38%)

Apr 30

272
267 - 277

+11 (+4.38%)

May 1

284
278 - 290

+12 (+4.38%)

May 2

296
291 - 302

+12 (+4.38%)

May 3

309
303 - 316

+13 (+4.38%)

May 4

323
317 - 329

+14 (+4.38%)

What is the mortality rate in Alabama?

Deaths by coronavirus versus statistical death rate

10941515546201367Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 4,900,000 people in Alabama, that corresponds to about 109 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

3.5%3.6%3.7%3.9%4.1%4.3%4.4%4.6%4.8%5.1%5.3%5.6%5.9%6.5%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 Alabama would be approx. 4.6%.

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

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

Coronavirus infections

3.09%6.63%5.2%3.08%3.74%3.91%4.69%5.19%4.27%3.33%Apr 15Apr 24)}

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

Deaths by coronavirus

3.51%12.7%11.3%3.38%2.61%3.82%12.3%7.1%3.06%3.47%Apr 15Apr 24)}

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

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

High standardMedium standard52Apr 25735Jun 281,470Jul 15

The graph tries to predict the number of required intensive care units in Alabama. 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 (1,470 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (735 total).

Coronavirus in Alaska

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

Coronavirus infections

339Apr 24293Apr 15374May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Alaska of about 0.962% each day. That corresponds to a doubling of the numbers approx. every 72 days.

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

Apr 15

293

-

Apr 16

300

+7 (+2.39%)

Apr 17

309

+9 (+3%)

Apr 18

314

+5 (+1.62%)

Apr 19

319

+5 (+1.59%)

Apr 20

321

+2 (+0.627%)

Apr 21

329

+8 (+2.49%)

Apr 22

335

+6 (+1.82%)

Apr 23

337

+2 (+0.597%)

Apr 24

339

+2 (+0.593%)

Apr 25

343
341 - 345

+4 (+1.21%)

Apr 26

346
344 - 349

+3 (+0.962%)

Apr 27

350
347 - 352

+3 (+0.962%)

Apr 28

353
351 - 355

+3 (+0.962%)

Apr 29

356
354 - 359

+3 (+0.962%)

Apr 30

360
358 - 362

+3 (+0.962%)

May 1

363
361 - 366

+3 (+0.962%)

May 2

367
364 - 369

+3 (+0.962%)

May 3

370
368 - 373

+4 (+0.962%)

May 4

374
372 - 376

+4 (+0.962%)

Deaths by coronavirus

9Apr 249Apr 159May 40

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

9

+0 (+0%)

Apr 20

9

+0 (+0%)

Apr 21

9

+0 (+0%)

Apr 22

9

+0 (+0%)

Apr 23

9

+0 (+0%)

Apr 24

9

+0 (+0%)

Apr 25

9
9 - 9

+0 (+2.22e-14%)

Apr 26

9
9 - 9

+0 (+0%)

Apr 27

9
9 - 9

+0 (+0%)

Apr 28

9
9 - 9

+0 (+0%)

Apr 29

9
9 - 9

+0 (+0%)

Apr 30

9
9 - 9

+0 (+0%)

May 1

9
9 - 9

+0 (+0%)

May 2

9
9 - 9

+0 (+0%)

May 3

9
9 - 9

+0 (+0%)

May 4

9
9 - 9

+0 (+0%)

What is the mortality rate in Alaska?

Deaths by coronavirus versus statistical death rate

160000000000Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 732,000 people in Alaska, that corresponds to about 16 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

2.7%2.7%2.7%2.7%2.8%2.8%2.9%2.9%3%3.1%3.2%3.2%3.3%3.5%3.7%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 Alaska would be approx. 2.9%.

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

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

Coronavirus infections

2.81%2.39%3%1.62%1.59%0.627%2.49%1.82%0.597%0.593%Apr 15Apr 24)}

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

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

High standardMedium standard1Apr 25

The graph tries to predict the number of required intensive care units in Alaska. 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 (219 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (110 total).

Coronavirus in Arizona

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

Coronavirus infections

6,050Apr 243,960Apr 159,690May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Arizona of about 4.84% 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 Arizona assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

3,960

-

Apr 16

4,240

+273 (+6.89%)

Apr 17

4,510

+274 (+6.47%)

Apr 18

4,720

+213 (+4.72%)

Apr 19

4,930

+209 (+4.42%)

Apr 20

5,070

+135 (+2.74%)

Apr 21

5,260

+188 (+3.71%)

Apr 22

5,470

+217 (+4.13%)

Apr 23

5,770

+299 (+5.46%)

Apr 24

6,050

+273 (+4.73%)

Apr 25

6,330
6,300 - 6,370

+290 (+4.79%)

Apr 26

6,640
6,610 - 6,680

+307 (+4.84%)

Apr 27

6,960
6,930 - 7,000

+322 (+4.84%)

Apr 28

7,300
7,260 - 7,340

+337 (+4.84%)

Apr 29

7,650
7,610 - 7,690

+353 (+4.84%)

Apr 30

8,020
7,980 - 8,070

+371 (+4.84%)

May 1

8,410
8,370 - 8,460

+388 (+4.84%)

May 2

8,820
8,770 - 8,870

+407 (+4.84%)

May 3

9,250
9,200 - 9,300

+427 (+4.84%)

May 4

9,690
9,640 - 9,750

+448 (+4.84%)

Deaths by coronavirus

266Apr 24142Apr 15605May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Arizona of about 8.47% each day. That corresponds to a doubling of the numbers approx. every 8.5 days.

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

Apr 15

142

-

Apr 16

150

+8 (+5.63%)

Apr 17

169

+19 (+12.7%)

Apr 18

180

+11 (+6.51%)

Apr 19

184

+4 (+2.22%)

Apr 20

191

+7 (+3.8%)

Apr 21

208

+17 (+8.9%)

Apr 22

231

+23 (+11.1%)

Apr 23

249

+18 (+7.79%)

Apr 24

266

+17 (+6.83%)

Apr 25

291
285 - 297

+25 (+9.41%)

Apr 26

316
309 - 322

+25 (+8.47%)

Apr 27

342
336 - 349

+27 (+8.47%)

Apr 28

371
364 - 379

+29 (+8.47%)

Apr 29

403
395 - 411

+31 (+8.47%)

Apr 30

437
428 - 446

+34 (+8.47%)

May 1

474
465 - 484

+37 (+8.47%)

May 2

514
504 - 525

+40 (+8.47%)

May 3

558
547 - 569

+44 (+8.47%)

May 4

605
593 - 617

+47 (+8.47%)

What is the mortality rate in Arizona?

Deaths by coronavirus versus statistical death rate

16311819114717231817Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 7,280,000 people in Arizona, that corresponds to about 163 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

4.4%4.6%4.9%5.1%5.2%5.4%5.6%5.9%6.3%6.7%7%7.2%7.5%7.8%8.5%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 Arizona would be approx. 5.9%.

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

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

Coronavirus infections

4.07%6.89%6.47%4.72%4.42%2.74%3.71%4.13%5.46%4.73%Apr 15Apr 24)}

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

Deaths by coronavirus

8.4%5.63%12.7%6.51%2.22%3.8%8.9%11.1%7.79%6.83%Apr 15Apr 24)}

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

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

High standardMedium standard53Apr 251,090Jun 272,180Jul 11

The graph tries to predict the number of required intensive care units in Arizona. 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 (2,180 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (1,090 total).

Coronavirus in Arkansas

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

Coronavirus infections

2,810Apr 241,570Apr 159,190May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Arkansas of about 12.4% each day. That corresponds to a doubling of the numbers approx. every 5.9 days.

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

Apr 15

1,570

-

Apr 16

1,620

+51 (+3.25%)

Apr 17

1,700

+75 (+4.63%)

Apr 18

1,740

+49 (+2.89%)

Apr 19

1,780

+37 (+2.12%)

Apr 20

1,970

+192 (+10.8%)

Apr 21

1,990

+17 (+0.862%)

Apr 22

2,280

+286 (+14.4%)

Apr 23

2,600

+323 (+14.2%)

Apr 24

2,810

+211 (+8.12%)

Apr 25

3,210
3,110 - 3,310

+401 (+14.3%)

Apr 26

3,610
3,500 - 3,720

+398 (+12.4%)

Apr 27

4,060
3,930 - 4,180

+447 (+12.4%)

Apr 28

4,560
4,420 - 4,700

+502 (+12.4%)

Apr 29

5,120
4,970 - 5,280

+565 (+12.4%)

Apr 30

5,760
5,590 - 5,940

+635 (+12.4%)

May 1

6,470
6,280 - 6,670

+713 (+12.4%)

May 2

7,270
7,050 - 7,500

+802 (+12.4%)

May 3

8,170
7,930 - 8,430

+901 (+12.4%)

May 4

9,190
8,910 - 9,470

+1,010 (+12.4%)

Deaths by coronavirus

47Apr 2433Apr 1570May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Arkansas of about 4.15% 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 Arkansas assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

33

-

Apr 16

37

+4 (+12.1%)

Apr 17

37

+0 (+0%)

Apr 18

38

+1 (+2.7%)

Apr 19

39

+1 (+2.63%)

Apr 20

41

+2 (+5.13%)

Apr 21

42

+1 (+2.44%)

Apr 22

42

+0 (+0%)

Apr 23

45

+3 (+7.14%)

Apr 24

47

+2 (+4.44%)

Apr 25

49
47 - 50

+2 (+3.51%)

Apr 26

51
49 - 52

+2 (+4.15%)

Apr 27

53
51 - 54

+2 (+4.15%)

Apr 28

55
53 - 57

+2 (+4.15%)

Apr 29

57
56 - 59

+2 (+4.15%)

Apr 30

60
58 - 61

+2 (+4.15%)

May 1

62
60 - 64

+2 (+4.15%)

May 2

65
63 - 67

+3 (+4.15%)

May 3

67
65 - 69

+3 (+4.15%)

May 4

70
68 - 72

+3 (+4.15%)

What is the mortality rate in Arkansas?

Deaths by coronavirus versus statistical death rate

671401121032Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 3,020,000 people in Arkansas, that corresponds to about 67 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

1.7%1.8%2.1%2.4%2.4%2.6%2.7%2.8%2.9%3%3.1%3.3%3.7%3.8%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 Arkansas 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 Arkansas?

Coronavirus infections

4.74%3.25%4.63%2.89%2.12%10.8%0.862%14.4%14.2%8.12%Apr 15Apr 24)}

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

Deaths by coronavirus

3.13%12.1%0%2.7%2.63%5.13%2.44%0%7.14%4.44%Apr 15Apr 24)}

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

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

High standardMedium standard36Apr 25453May 14905May 20

The graph tries to predict the number of required intensive care units in Arkansas. 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 (905 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (453 total).

Coronavirus in California

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

Coronavirus infections

41,400Apr 2426,700Apr 1569,700May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in California of about 5.32% 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 coronavirus infections in California assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

26,700

-

Apr 16

27,700

+991 (+3.71%)

Apr 17

29,200

+1,480 (+5.35%)

Apr 18

30,500

+1,330 (+4.58%)

Apr 19

31,400

+940 (+3.08%)

Apr 20

33,700

+2,260 (+7.17%)

Apr 21

35,500

+1,780 (+5.28%)

Apr 22

37,300

+1,880 (+5.3%)

Apr 23

39,600

+2,220 (+5.94%)

Apr 24

41,400

+1,790 (+4.53%)

Apr 25

43,700
43,400 - 43,900

+2,320 (+5.62%)

Apr 26

46,000
45,700 - 46,300

+2,320 (+5.32%)

Apr 27

48,500
48,200 - 48,700

+2,450 (+5.32%)

Apr 28

51,000
50,700 - 51,300

+2,580 (+5.32%)

Apr 29

53,700
53,400 - 54,100

+2,720 (+5.32%)

Apr 30

56,600
56,300 - 56,900

+2,860 (+5.32%)

May 1

59,600
59,300 - 60,000

+3,010 (+5.32%)

May 2

62,800
62,400 - 63,200

+3,170 (+5.32%)

May 3

66,100
65,800 - 66,500

+3,340 (+5.32%)

May 4

69,700
69,300 - 70,100

+3,520 (+5.32%)

Deaths by coronavirus

1,620Apr 24860Apr 153,580May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in California of about 8.11% each day. That corresponds to a doubling of the numbers approx. every 8.9 days.

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

Apr 15

860

-

Apr 16

956

+96 (+11.2%)

Apr 17

1,040

+81 (+8.47%)

Apr 18

1,140

+103 (+9.93%)

Apr 19

1,180

+37 (+3.25%)

Apr 20

1,230

+48 (+4.08%)

Apr 21

1,280

+57 (+4.65%)

Apr 22

1,420

+139 (+10.8%)

Apr 23

1,530

+112 (+7.88%)

Apr 24

1,620

+88 (+5.74%)

Apr 25

1,770
1,730 - 1,810

+152 (+9.35%)

Apr 26

1,920
1,870 - 1,960

+144 (+8.11%)

Apr 27

2,070
2,020 - 2,120

+155 (+8.11%)

Apr 28

2,240
2,190 - 2,290

+168 (+8.11%)

Apr 29

2,420
2,360 - 2,480

+182 (+8.11%)

Apr 30

2,620
2,560 - 2,680

+196 (+8.11%)

May 1

2,830
2,760 - 2,900

+212 (+8.11%)

May 2

3,060
2,990 - 3,130

+229 (+8.11%)

May 3

3,310
3,230 - 3,390

+248 (+8.11%)

May 4

3,580
3,490 - 3,660

+268 (+8.11%)

What is the mortality rate in California?

Deaths by coronavirus versus statistical death rate

88293968110337485713911288Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 39,500,000 people in California, that corresponds to about 882 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

3.9%4.1%4.3%4.6%4.8%5.2%5.3%5.6%5.9%6.1%6.4%6.8%7.1%7.5%7.7%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 California would be approx. 5.6%.

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

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

Coronavirus infections

5.25%3.71%5.35%4.58%3.08%7.17%5.28%5.3%5.94%4.53%Apr 15Apr 24)}

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

Deaths by coronavirus

12.1%11.2%8.47%9.93%3.25%4.08%4.65%10.8%7.88%5.74%Apr 15Apr 24)}

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

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

High standardMedium standard395Apr 255,930Jun 1511,900Jun 29

The graph tries to predict the number of required intensive care units in California. 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 (11,900 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (5,930 total).

Coronavirus in Colorado

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

Coronavirus infections

12,300Apr 247,960Apr 1520,100May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Colorado of about 5.2% each day. That corresponds to a doubling of the numbers approx. every 14 days.

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

Apr 15

7,960

-

Apr 16

8,290

+330 (+4.15%)

Apr 17

8,690

+405 (+4.89%)

Apr 18

9,050

+356 (+4.1%)

Apr 19

9,730

+683 (+7.55%)

Apr 20

9,730

+0 (+0%)

Apr 21

10,500

+743 (+7.64%)

Apr 22

10,900

+418 (+3.99%)

Apr 23

11,300

+387 (+3.55%)

Apr 24

12,300

+978 (+8.67%)

Apr 25

12,700
12,400 - 13,000

+462 (+3.77%)

Apr 26

13,400
13,000 - 13,700

+661 (+5.2%)

Apr 27

14,100
13,700 - 14,400

+695 (+5.2%)

Apr 28

14,800
14,400 - 15,200

+731 (+5.2%)

Apr 29

15,600
15,200 - 16,000

+769 (+5.2%)

Apr 30

16,400
16,000 - 16,800

+809 (+5.2%)

May 1

17,200
16,800 - 17,700

+851 (+5.2%)

May 2

18,100
17,700 - 18,600

+896 (+5.2%)

May 3

19,100
18,600 - 19,600

+942 (+5.2%)

May 4

20,100
19,600 - 20,600

+991 (+5.2%)

Deaths by coronavirus

674Apr 24328Apr 151,920May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Colorado of about 11.5% each day. That corresponds to a doubling of the numbers approx. every 6.4 days.

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

Apr 15

328

-

Apr 16

355

+27 (+8.23%)

Apr 17

372

+17 (+4.79%)

Apr 18

389

+17 (+4.57%)

Apr 19

420

+31 (+7.97%)

Apr 20

420

+0 (+0%)

Apr 21

483

+63 (+15%)

Apr 22

506

+23 (+4.76%)

Apr 23

552

+46 (+9.09%)

Apr 24

674

+122 (+22.1%)

Apr 25

721
666 - 779

+47 (+6.9%)

Apr 26

803
743 - 869

+83 (+11.5%)

Apr 27

895
828 - 968

+92 (+11.5%)

Apr 28

998
923 - 1,080

+103 (+11.5%)

Apr 29

1,110
1,030 - 1,200

+115 (+11.5%)

Apr 30

1,240
1,150 - 1,340

+128 (+11.5%)

May 1

1,380
1,280 - 1,500

+142 (+11.5%)

May 2

1,540
1,430 - 1,670

+159 (+11.5%)

May 3

1,720
1,590 - 1,860

+177 (+11.5%)

May 4

1,920
1,770 - 2,070

+197 (+11.5%)

What is the mortality rate in Colorado?

Deaths by coronavirus versus statistical death rate

1291271717310632346122Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 5,760,000 people in Colorado, that corresponds to about 129 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

5.5%6%6.2%6.4%6.9%6.9%7.4%7.8%8.1%8.5%8.5%8.8%9.2%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 Colorado would be approx. 7.8%.

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

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

Coronavirus infections

0.0755%4.15%4.89%4.1%7.55%0%7.64%3.99%3.55%8.67%Apr 15Apr 24)}

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

Deaths by coronavirus

0.306%8.23%4.79%4.57%7.97%0%15%4.76%9.09%22.1%Apr 15Apr 24)}

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

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

High standardMedium standard101Apr 25864Jun 31,730Jun 17

The graph tries to predict the number of required intensive care units in Colorado. 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 (1,730 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (864 total).

Coronavirus in Connecticut

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

Coronavirus infections

23,900Apr 2414,800Apr 1540,500May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Connecticut of about 5.27% each day. That corresponds to a doubling of the numbers approx. every 14 days.

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

Apr 15

14,800

-

Apr 16

15,900

+1,130 (+7.65%)

Apr 17

16,800

+925 (+5.82%)

Apr 18

17,600

+741 (+4.41%)

Apr 19

18,000

+412 (+2.35%)

Apr 20

19,800

+1,850 (+10.3%)

Apr 21

20,400

+545 (+2.75%)

Apr 22

22,500

+2,110 (+10.4%)

Apr 23

23,100

+631 (+2.81%)

Apr 24

23,900

+836 (+3.62%)

Apr 25

25,500
24,600 - 26,400

+1,560 (+6.52%)

Apr 26

26,800
25,900 - 27,800

+1,340 (+5.27%)

Apr 27

28,300
27,200 - 29,300

+1,410 (+5.27%)

Apr 28

29,700
28,700 - 30,800

+1,490 (+5.27%)

Apr 29

31,300
30,200 - 32,500

+1,570 (+5.27%)

Apr 30

33,000
31,800 - 34,200

+1,650 (+5.27%)

May 1

34,700
33,500 - 36,000

+1,740 (+5.27%)

May 2

36,500
35,200 - 37,900

+1,830 (+5.27%)

May 3

38,400
37,100 - 39,800

+1,920 (+5.27%)

May 4

40,500
39,000 - 41,900

+2,020 (+5.27%)

Deaths by coronavirus

1,770Apr 24868Apr 153,590May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Connecticut of about 7.35% 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 Connecticut assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

868

-

Apr 16

971

+103 (+11.9%)

Apr 17

1,040

+65 (+6.69%)

Apr 18

1,090

+50 (+4.83%)

Apr 19

1,130

+41 (+3.78%)

Apr 20

1,330

+204 (+18.1%)

Apr 21

1,420

+92 (+6.91%)

Apr 22

1,540

+121 (+8.5%)

Apr 23

1,640

+95 (+6.15%)

Apr 24

1,770

+128 (+7.81%)

Apr 25

1,900
1,880 - 1,910

+129 (+7.32%)

Apr 26

2,040
2,020 - 2,050

+139 (+7.35%)

Apr 27

2,190
2,170 - 2,210

+150 (+7.35%)

Apr 28

2,350
2,330 - 2,370

+161 (+7.35%)

Apr 29

2,520
2,500 - 2,540

+172 (+7.35%)

Apr 30

2,700
2,680 - 2,730

+185 (+7.35%)

May 1

2,900
2,880 - 2,930

+199 (+7.35%)

May 2

3,120
3,090 - 3,140

+213 (+7.35%)

May 3

3,340
3,310 - 3,370

+229 (+7.35%)

May 4

3,590
3,560 - 3,620

+246 (+7.35%)

What is the mortality rate in Connecticut?

Deaths by coronavirus versus statistical death rate

801971036550412049212195128Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 3,570,000 people in Connecticut, that corresponds to about 80 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

7.4%7.6%7.9%8.7%8.9%9.8%10%11%11%12%13%13%15%15%17%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 Connecticut would be approx. 11%.

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

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

Coronavirus infections

5.48%7.65%5.82%4.41%2.35%10.3%2.75%10.4%2.81%3.62%Apr 15Apr 24)}

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

Deaths by coronavirus

29.4%11.9%6.69%4.83%3.78%18.1%6.91%8.5%6.15%7.81%Apr 15Apr 24)}

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

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

High standardMedium standard242Apr 25535May 111,070May 24

The graph tries to predict the number of required intensive care units in Connecticut. 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 (1,070 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (535 total).

Coronavirus in Delaware

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

Coronavirus infections

3,440Apr 242,010Apr 155,810May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Delaware of about 5.29% 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 coronavirus infections in Delaware assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

2,010

-

Apr 16

2,070

+56 (+2.78%)

Apr 17

2,320

+247 (+11.9%)

Apr 18

2,540

+221 (+9.54%)

Apr 19

2,540

+0 (+0%)

Apr 20

2,750

+207 (+8.16%)

Apr 21

2,930

+186 (+6.78%)

Apr 22

3,200

+269 (+9.18%)

Apr 23

3,310

+108 (+3.37%)

Apr 24

3,440

+134 (+4.05%)

Apr 25

3,660
3,560 - 3,760

+215 (+6.24%)

Apr 26

3,850
3,750 - 3,960

+193 (+5.29%)

Apr 27

4,050
3,940 - 4,170

+204 (+5.29%)

Apr 28

4,270
4,150 - 4,390

+214 (+5.29%)

Apr 29

4,490
4,370 - 4,620

+226 (+5.29%)

Apr 30

4,730
4,600 - 4,860

+238 (+5.29%)

May 1

4,980
4,850 - 5,120

+250 (+5.29%)

May 2

5,250
5,100 - 5,390

+263 (+5.29%)

May 3

5,520
5,370 - 5,680

+277 (+5.29%)

May 4

5,810
5,660 - 5,980

+292 (+5.29%)

Deaths by coronavirus

100Apr 2446Apr 15186May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Delaware of about 6.49% 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 Delaware assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

46

-

Apr 16

55

+9 (+19.6%)

Apr 17

61

+6 (+10.9%)

Apr 18

67

+6 (+9.84%)

Apr 19

67

+0 (+0%)

Apr 20

72

+5 (+7.46%)

Apr 21

82

+10 (+13.9%)

Apr 22

89

+7 (+8.54%)

Apr 23

92

+3 (+3.37%)

Apr 24

100

+8 (+8.7%)

Apr 25

106
104 - 108

+6 (+5.92%)

Apr 26

113
110 - 115

+7 (+6.49%)

Apr 27

120
117 - 123

+7 (+6.49%)

Apr 28

128
125 - 131

+8 (+6.49%)

Apr 29

136
133 - 139

+8 (+6.49%)

Apr 30

145
142 - 148

+9 (+6.49%)

May 1

154
151 - 158

+9 (+6.49%)

May 2

164
161 - 168

+10 (+6.49%)

May 3

175
171 - 179

+11 (+6.49%)

May 4

186
182 - 191

+11 (+6.49%)

What is the mortality rate in Delaware?

Deaths by coronavirus versus statistical death rate

2239660510738Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 974,000 people in Delaware, that corresponds to about 22 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

2.9%3%3.1%3.4%3.6%3.9%3.9%4.3%4.8%5%5.2%5.7%6.2%6.8%7.5%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 Delaware would be approx. 4.3%.

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

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

Coronavirus infections

4.57%2.78%11.9%9.54%0%8.16%6.78%9.18%3.38%4.05%Apr 15Apr 24)}

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

Deaths by coronavirus

6.98%19.6%10.9%9.84%0%7.46%13.9%8.54%3.37%8.7%Apr 15Apr 24)}

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

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

High standardMedium standard38Apr 25146May 23292Jun 5

The graph tries to predict the number of required intensive care units in Delaware. 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 (292 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (146 total).

Coronavirus in Diamond Princess

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

Coronavirus infections

49Apr 2449Apr 1549May 40

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

Apr 15

49

-

Apr 16

49

+0 (+0%)

Apr 17

49

+0 (+0%)

Apr 18

49

+0 (+0%)

Apr 19

49

+0 (+0%)

Apr 20

49

+0 (+0%)

Apr 21

49

+0 (+0%)

Apr 22

49

+0 (+0%)

Apr 23

49

+0 (+0%)

Apr 24

49

+0 (+0%)

Apr 25

49
49 - 49

+0 (+-1.11e-14%)

Apr 26

49
49 - 49

+0 (+0%)

Apr 27

49
49 - 49

+0 (+0%)

Apr 28

49
49 - 49

+0 (+0%)

Apr 29

49
49 - 49

+0 (+0%)

Apr 30

49
49 - 49

+0 (+0%)

May 1

49
49 - 49

+0 (+0%)

May 2

49
49 - 49

+0 (+0%)

May 3

49
49 - 49

+0 (+0%)

May 4

49
49 - 49

+0 (+0%)

Deaths by coronavirus

0Apr 240Apr 15

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

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 Diamond Princess 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 Diamond Princess in the previous days.

Coronavirus in District of Columbia

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

Coronavirus infections

3,530Apr 242,200Apr 155,450May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in District of Columbia of about 4.47% 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 District of Columbia assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

2,200

-

Apr 16

2,350

+153 (+6.96%)

Apr 17

2,480

+126 (+5.36%)

Apr 18

2,670

+190 (+7.67%)

Apr 19

2,790

+127 (+4.76%)

Apr 20

2,930

+134 (+4.8%)

Apr 21

3,100

+171 (+5.84%)

Apr 22

3,210

+108 (+3.49%)

Apr 23

3,360

+155 (+4.83%)

Apr 24

3,530

+167 (+4.97%)

Apr 25

3,670
3,650 - 3,700

+147 (+4.16%)

Apr 26

3,840
3,810 - 3,870

+164 (+4.47%)

Apr 27

4,010
3,980 - 4,040

+172 (+4.47%)

Apr 28

4,190
4,160 - 4,220

+179 (+4.47%)

Apr 29

4,380
4,340 - 4,410

+187 (+4.47%)

Apr 30

4,570
4,540 - 4,610

+196 (+4.47%)

May 1

4,780
4,740 - 4,810

+204 (+4.47%)

May 2

4,990
4,950 - 5,030

+213 (+4.47%)

May 3

5,210
5,170 - 5,250

+223 (+4.47%)

May 4

5,450
5,400 - 5,490

+233 (+4.47%)

Deaths by coronavirus

153Apr 2472Apr 15429May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in District of Columbia of about 10.8% each day. That corresponds to a doubling of the numbers approx. every 6.8 days.

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

Apr 15

72

-

Apr 16

81

+9 (+12.5%)

Apr 17

86

+5 (+6.17%)

Apr 18

91

+5 (+5.81%)

Apr 19

96

+5 (+5.49%)

Apr 20

105

+9 (+9.38%)

Apr 21

112

+7 (+6.67%)

Apr 22

127

+15 (+13.4%)

Apr 23

139

+12 (+9.45%)

Apr 24

153

+14 (+10.1%)

Apr 25

170
167 - 173

+17 (+11.4%)

Apr 26

189
186 - 192

+18 (+10.8%)

Apr 27

209
206 - 213

+20 (+10.8%)

Apr 28

232
228 - 236

+23 (+10.8%)

Apr 29

257
252 - 261

+25 (+10.8%)

Apr 30

285
280 - 290

+28 (+10.8%)

May 1

315
310 - 321

+31 (+10.8%)

May 2

350
344 - 356

+34 (+10.8%)

May 3

387
381 - 394

+38 (+10.8%)

May 4

429
422 - 437

+42 (+10.8%)

What is the mortality rate in District of Columbia?

Deaths by coronavirus versus statistical death rate

165955597151214Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 706,000 people in District of Columbia, that corresponds to about 16 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

4.3%4.6%4.8%4.9%5.2%5.5%5.7%6.2%6.5%7%7.4%7.8%8.2%8.6%9.2%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 District of 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 District of Columbia?

Coronavirus infections

6.75%6.96%5.36%7.67%4.76%4.8%5.84%3.49%4.83%4.97%Apr 15Apr 24)}

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

Deaths by coronavirus

7.46%12.5%6.17%5.81%5.49%9.38%6.67%13.4%9.45%10.1%Apr 15Apr 24)}

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

How could the occupation of intensive care beds in District of Columbia develop?

High standardMedium standard34Apr 25106May 23212Jun 8

The graph tries to predict the number of required intensive care units in District of Columbia. 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 (212 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (106 total).

Coronavirus in Florida

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

Coronavirus infections

30,500Apr 2422,500Apr 1542,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Florida of about 3.25% 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 Florida assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

22,500

-

Apr 16

23,300

+832 (+3.7%)

Apr 17

24,800

+1,420 (+6.07%)

Apr 18

25,500

+733 (+2.96%)

Apr 19

26,300

+822 (+3.22%)

Apr 20

27,100

+745 (+2.83%)

Apr 21

27,900

+810 (+2.99%)

Apr 22

28,300

+440 (+1.58%)

Apr 23

29,600

+1,340 (+4.73%)

Apr 24

30,500

+885 (+2.99%)

Apr 25

31,500
31,100 - 31,900

+959 (+3.14%)

Apr 26

32,500
32,100 - 32,900

+1,020 (+3.25%)

Apr 27

33,600
33,200 - 34,000

+1,060 (+3.25%)

Apr 28

34,700
34,200 - 35,100

+1,090 (+3.25%)

Apr 29

35,800
35,300 - 36,200

+1,130 (+3.25%)

Apr 30

37,000
36,500 - 37,400

+1,160 (+3.25%)

May 1

38,200
37,700 - 38,600

+1,200 (+3.25%)

May 2

39,400
38,900 - 39,900

+1,240 (+3.25%)

May 3

40,700
40,200 - 41,200

+1,280 (+3.25%)

May 4

42,000
41,500 - 42,500

+1,320 (+3.25%)

Deaths by coronavirus

1,050Apr 24596Apr 152,030May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Florida of about 6.86% each day. That corresponds to a doubling of the numbers approx. every 10 days.

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

Apr 15

596

-

Apr 16

668

+72 (+12.1%)

Apr 17

725

+57 (+8.53%)

Apr 18

748

+23 (+3.17%)

Apr 19

774

+26 (+3.48%)

Apr 20

822

+48 (+6.2%)

Apr 21

867

+45 (+5.47%)

Apr 22

893

+26 (+3%)

Apr 23

987

+94 (+10.5%)

Apr 24

1,050

+59 (+5.98%)

Apr 25

1,120
1,080 - 1,150

+70 (+6.7%)

Apr 26

1,190
1,160 - 1,230

+77 (+6.86%)

Apr 27

1,270
1,240 - 1,310

+82 (+6.86%)

Apr 28

1,360
1,320 - 1,400

+87 (+6.86%)

Apr 29

1,460
1,410 - 1,500

+93 (+6.86%)

Apr 30

1,550
1,510 - 1,600

+100 (+6.86%)

May 1

1,660
1,610 - 1,710

+107 (+6.86%)

May 2

1,780
1,720 - 1,830

+114 (+6.86%)

May 3

1,900
1,840 - 1,950

+122 (+6.86%)

May 4

2,030
1,970 - 2,090

+130 (+6.86%)

What is the mortality rate in Florida?

Deaths by coronavirus versus statistical death rate

48025725723264845269459Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 21,500,000 people in Florida, that corresponds to about 480 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

3.4%3.5%3.7%3.8%3.9%4%4.1%4.2%4.5%4.6%4.8%5%5.3%5.7%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 Florida would be approx. 4.2%.

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

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

Coronavirus infections

4.08%3.7%6.07%2.96%3.22%2.83%2.99%1.58%4.73%2.99%Apr 15Apr 24)}

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

Deaths by coronavirus

4.38%12.1%8.53%3.17%3.48%6.2%5.47%3%10.5%5.98%Apr 15Apr 24)}

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

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

High standardMedium standard209Apr 25

The graph tries to predict the number of required intensive care units in Florida. 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 (6,440 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (3,220 total).

Coronavirus in Georgia

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

Coronavirus infections

22,500Apr 2415,000Apr 1533,900May 4

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

Apr 15

15,000

-

Apr 16

15,700

+682 (+4.55%)

Apr 17

17,200

+1,530 (+9.73%)

Apr 18

17,700

+475 (+2.76%)

Apr 19

18,300

+632 (+3.58%)

Apr 20

19,400

+1,110 (+6.04%)

Apr 21

19,900

+474 (+2.44%)

Apr 22

21,200

+1,330 (+6.7%)

Apr 23

21,900

+669 (+3.15%)

Apr 24

22,500

+608 (+2.78%)

Apr 25

23,600
23,100 - 24,100

+1,110 (+4.91%)

Apr 26

24,600
24,100 - 25,100

+966 (+4.09%)

Apr 27

25,600
25,100 - 26,100

+1,010 (+4.09%)

Apr 28

26,600
26,100 - 27,100

+1,050 (+4.09%)

Apr 29

27,700
27,200 - 28,300

+1,090 (+4.09%)

Apr 30

28,800
28,300 - 29,400

+1,130 (+4.09%)

May 1

30,000
29,400 - 30,600

+1,180 (+4.09%)

May 2

31,200
30,600 - 31,900

+1,230 (+4.09%)

May 3

32,500
31,900 - 33,200

+1,280 (+4.09%)

May 4

33,900
33,200 - 34,500

+1,330 (+4.09%)

Deaths by coronavirus

899Apr 24552Apr 151,350May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Georgia of about 4.04% 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 deaths by coronavirus in Georgia assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

552

-

Apr 16

587

+35 (+6.34%)

Apr 17

650

+63 (+10.7%)

Apr 18

673

+23 (+3.54%)

Apr 19

687

+14 (+2.08%)

Apr 20

775

+88 (+12.8%)

Apr 21

798

+23 (+2.97%)

Apr 22

848

+50 (+6.27%)

Apr 23

881

+33 (+3.89%)

Apr 24

899

+18 (+2.04%)

Apr 25

945
926 - 964

+46 (+5.07%)

Apr 26

983
963 - 1,000

+38 (+4.04%)

Apr 27

1,020
1,000 - 1,040

+40 (+4.04%)

Apr 28

1,060
1,040 - 1,090

+41 (+4.04%)

Apr 29

1,110
1,080 - 1,130

+43 (+4.04%)

Apr 30

1,150
1,130 - 1,170

+45 (+4.04%)

May 1

1,200
1,170 - 1,220

+46 (+4.04%)

May 2

1,250
1,220 - 1,270

+48 (+4.04%)

May 3

1,300
1,270 - 1,320

+50 (+4.04%)

May 4

1,350
1,320 - 1,380

+52 (+4.04%)

What is the mortality rate in Georgia?

Deaths by coronavirus versus statistical death rate

23727356323148823503318Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 10,600,000 people in Georgia, that corresponds to about 237 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

4%4.1%4.2%4.5%4.6%4.9%5.1%5.2%5.7%6%6.2%6.8%7.2%7.4%7.8%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 Georgia would be approx. 5.2%.

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

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

Coronavirus infections

2.81%4.55%9.73%2.76%3.58%6.04%2.44%6.7%3.15%2.78%Apr 15Apr 24)}

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

Deaths by coronavirus

5.14%6.34%10.7%3.54%2.08%12.8%2.97%6.27%3.89%2.04%Apr 15Apr 24)}

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

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

High standardMedium standard206Apr 251,590Jun 183,190Jul 5

The graph tries to predict the number of required intensive care units in Georgia. 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 (3,190 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (1,590 total).

Coronavirus in Grand Princess

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

Coronavirus infections

103Apr 24103Apr 15103May 40

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 15

103

-

Apr 16

103

+0 (+0%)

Apr 17

103

+0 (+0%)

Apr 18

103

+0 (+0%)

Apr 19

103

+0 (+0%)

Apr 20

103

+0 (+0%)

Apr 21

103

+0 (+0%)

Apr 22

103

+0 (+0%)

Apr 23

103

+0 (+0%)

Apr 24

103

+0 (+0%)

Apr 25

103
103 - 103

+0 (+0%)

Apr 26

103
103 - 103

+0 (+0%)

Apr 27

103
103 - 103

+0 (+0%)

Apr 28

103
103 - 103

+0 (+0%)

Apr 29

103
103 - 103

+0 (+0%)

Apr 30

103
103 - 103

+0 (+0%)

May 1

103
103 - 103

+0 (+0%)

May 2

103
103 - 103

+0 (+0%)

May 3

103
103 - 103

+0 (+0%)

May 4

103
103 - 103

+0 (+0%)

Deaths by coronavirus

3Apr 240Apr 153May 40

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 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

3

+0 (+0%)

Apr 24

3

+0 (+0%)

Apr 25

3
3 - 3

+0 (+-1.11e-14%)

Apr 26

3
3 - 3

+0 (+0%)

Apr 27

3
3 - 3

+0 (+0%)

Apr 28

3
3 - 3

+0 (+0%)

Apr 29

3
3 - 3

+0 (+0%)

Apr 30

3
3 - 3

+0 (+0%)

May 1

3
3 - 3

+0 (+0%)

May 2

3
3 - 3

+0 (+0%)

May 3

3
3 - 3

+0 (+0%)

May 4

3
3 - 3

+0 (+0%)

What is the mortality rate in Grand Princess?

Coronavirus mortality rate with time-lag correction

2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%2.9%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. 2.9%.

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 15Apr 24)}

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%In,fin,ity%0%Apr 15Apr 24)}

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

Coronavirus in Guam

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

Coronavirus infections

141Apr 24135Apr 15160May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Guam of about 1.31% 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 Guam assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

135

-

Apr 16

135

+0 (+0%)

Apr 17

136

+1 (+0.741%)

Apr 18

136

+0 (+0%)

Apr 19

136

+0 (+0%)

Apr 20

136

+0 (+0%)

Apr 21

136

+0 (+0%)

Apr 22

136

+0 (+0%)

Apr 23

139

+3 (+2.21%)

Apr 24

141

+2 (+1.44%)

Apr 25

143
141 - 144

+2 (+1.1%)

Apr 26

144
143 - 146

+2 (+1.31%)

Apr 27

146
145 - 148

+2 (+1.31%)

Apr 28

148
147 - 150

+2 (+1.31%)

Apr 29

150
149 - 152

+2 (+1.31%)

Apr 30

152
151 - 154

+2 (+1.31%)

May 1

154
153 - 156

+2 (+1.31%)

May 2

156
155 - 158

+2 (+1.31%)

May 3

158
157 - 160

+2 (+1.31%)

May 4

160
159 - 162

+2 (+1.31%)

Deaths by coronavirus

5Apr 245Apr 155May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Guam 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 Guam 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%)

What is the mortality rate in Guam?

Deaths by coronavirus versus statistical death rate

40000000000Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 166,000 people in Guam, that corresponds to about 4 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

3.5%3.6%3.7%3.7%3.7%3.7%3.7%3.7%3.7%3.7%3.8%3.8%3.8%3.8%3.8%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 Guam would be approx. 3.7%.

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

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

Coronavirus infections

1.5%0%0.741%0%0%0%0%0%2.21%1.44%Apr 15Apr 24)}

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

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

High standardMedium standard0Apr 25

The graph tries to predict the number of required intensive care units in Guam. 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 (50 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (25 total).

Coronavirus in Hawaii

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

Coronavirus infections

601Apr 24524Apr 15653May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Hawaii of about 0.829% each day. That corresponds to a doubling of the numbers approx. every 84 days.

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

Apr 15

524

-

Apr 16

530

+6 (+1.15%)

Apr 17

541

+11 (+2.08%)

Apr 18

574

+33 (+6.1%)

Apr 19

580

+6 (+1.05%)

Apr 20

584

+4 (+0.69%)

Apr 21

586

+2 (+0.342%)

Apr 22

592

+6 (+1.02%)

Apr 23

596

+4 (+0.676%)

Apr 24

601

+5 (+0.839%)

Apr 25

606
605 - 607

+5 (+0.85%)

Apr 26

611
610 - 612

+5 (+0.829%)

Apr 27

616
615 - 617

+5 (+0.829%)

Apr 28

621
620 - 622

+5 (+0.829%)

Apr 29

626
626 - 627

+5 (+0.829%)

Apr 30

632
631 - 633

+5 (+0.829%)

May 1

637
636 - 638

+5 (+0.829%)

May 2

642
641 - 643

+5 (+0.829%)

May 3

647
647 - 648

+5 (+0.829%)

May 4

653
652 - 654

+5 (+0.829%)

Deaths by coronavirus

13Apr 249Apr 1529May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Hawaii of about 8.19% each day. That corresponds to a doubling of the numbers approx. every 8.8 days.

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

12

+2 (+20%)

Apr 23

12

+0 (+0%)

Apr 24

13

+1 (+8.33%)

Apr 25

14
13 - 15

+1 (+9.54%)

Apr 26

15
14 - 17

+1 (+8.19%)

Apr 27

17
15 - 18

+1 (+8.19%)

Apr 28

18
17 - 19

+1 (+8.19%)

Apr 29

20
18 - 21

+1 (+8.19%)

Apr 30

21
20 - 23

+2 (+8.19%)

May 1

23
21 - 25

+2 (+8.19%)

May 2

25
23 - 27

+2 (+8.19%)

May 3

27
25 - 29

+2 (+8.19%)

May 4

29
27 - 31

+2 (+8.19%)

What is the mortality rate in Hawaii?

Deaths by coronavirus versus statistical death rate

320000100201Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 1,420,000 people in Hawaii, that corresponds to about 32 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

2.2%2.2%2.2%2.2%2.2%2.2%2.3%2.4%2.5%2.5%2.5%2.6%2.6%2.8%2.9%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 Hawaii 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 Hawaii?

Coronavirus infections

2.54%1.15%2.08%6.1%1.05%0.69%0.342%1.02%0.676%0.839%Apr 15Apr 24)}

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

Deaths by coronavirus

0%0%0%0%11.1%0%0%20%0%8.33%Apr 15Apr 24)}

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

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

High standardMedium standard2Apr 25

The graph tries to predict the number of required intensive care units in Hawaii. 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 (425 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (212 total).

Coronavirus in Idaho

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

Coronavirus infections

1,870Apr 241,470Apr 152,430May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Idaho of about 2.65% each day. That corresponds to a doubling of the numbers approx. every 26 days.

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

Apr 15

1,470

-

Apr 16

1,590

+114 (+7.74%)

Apr 17

1,610

+22 (+1.39%)

Apr 18

1,660

+46 (+2.86%)

Apr 19

1,670

+13 (+0.785%)

Apr 20

1,670

+4 (+0.24%)

Apr 21

1,740

+64 (+3.83%)

Apr 22

1,770

+30 (+1.73%)

Apr 23

1,840

+70 (+3.96%)

Apr 24

1,870

+34 (+1.85%)

Apr 25

1,920
1,900 - 1,940

+53 (+2.84%)

Apr 26

1,970
1,960 - 1,990

+51 (+2.65%)

Apr 27

2,030
2,010 - 2,050

+52 (+2.65%)

Apr 28

2,080
2,060 - 2,100

+54 (+2.65%)

Apr 29

2,140
2,120 - 2,160

+55 (+2.65%)

Apr 30

2,190
2,170 - 2,210

+57 (+2.65%)

May 1

2,250
2,230 - 2,270

+58 (+2.65%)

May 2

2,310
2,290 - 2,330

+60 (+2.65%)

May 3

2,370
2,350 - 2,390

+61 (+2.65%)

May 4

2,430
2,410 - 2,460

+63 (+2.65%)

Deaths by coronavirus

54Apr 2439Apr 1583May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Idaho of about 4.19% 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 Idaho assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

39

-

Apr 16

41

+2 (+5.13%)

Apr 17

41

+0 (+0%)

Apr 18

43

+2 (+4.88%)

Apr 19

44

+1 (+2.33%)

Apr 20

45

+1 (+2.27%)

Apr 21

48

+3 (+6.67%)

Apr 22

51

+3 (+6.25%)

Apr 23

54

+3 (+5.88%)

Apr 24

54

+0 (+0%)

Apr 25

57
55 - 59

+3 (+6.07%)

Apr 26

60
58 - 62

+2 (+4.19%)

Apr 27

62
60 - 64

+3 (+4.19%)

Apr 28

65
63 - 67

+3 (+4.19%)

Apr 29

67
65 - 70

+3 (+4.19%)

Apr 30

70
68 - 73

+3 (+4.19%)

May 1

73
71 - 76

+3 (+4.19%)

May 2

76
74 - 79

+3 (+4.19%)

May 3

80
77 - 82

+3 (+4.19%)

May 4

83
80 - 86

+3 (+4.19%)

What is the mortality rate in Idaho?

Deaths by coronavirus versus statistical death rate

406202113330Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 1,790,000 people in Idaho, that corresponds to about 40 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

2.9%2.9%3.1%3.1%3.2%3.2%3.3%3.4%3.4%3.7%3.7%3.8%3.8%3.9%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 Idaho would be approx. 3.4%.

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

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

Coronavirus infections

0.615%7.74%1.39%2.86%0.785%0.24%3.83%1.73%3.96%1.85%Apr 15Apr 24)}

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

Deaths by coronavirus

18.2%5.13%0%4.88%2.33%2.27%6.67%6.25%5.88%0%Apr 15Apr 24)}

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

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

High standardMedium standard10Apr 25

The graph tries to predict the number of required intensive care units in Idaho. 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 (536 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (268 total).

Coronavirus in Illinois

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

Coronavirus infections

39,700Apr 2424,600Apr 1571,700May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Illinois of about 6.15% each day. That corresponds to a doubling of the numbers approx. every 12 days.

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

Apr 15

24,600

-

Apr 16

25,700

+1,140 (+4.64%)

Apr 17

27,600

+1,840 (+7.17%)

Apr 18

29,200

+1,580 (+5.74%)

Apr 19

30,400

+1,200 (+4.1%)

Apr 20

31,500

+1,160 (+3.81%)

Apr 21

33,100

+1,550 (+4.91%)

Apr 22

35,100

+2,050 (+6.19%)

Apr 23

36,900

+1,830 (+5.21%)

Apr 24

39,700

+2,720 (+7.37%)

Apr 25

41,900
41,600 - 42,300

+2,260 (+5.7%)

Apr 26

44,500
44,100 - 44,900

+2,580 (+6.15%)

Apr 27

47,200
46,800 - 47,600

+2,740 (+6.15%)

Apr 28

50,100
49,700 - 50,600

+2,900 (+6.15%)

Apr 29

53,200
52,800 - 53,700

+3,080 (+6.15%)

Apr 30

56,500
56,000 - 57,000

+3,270 (+6.15%)

May 1

60,000
59,500 - 60,500

+3,470 (+6.15%)

May 2

63,700
63,100 - 64,200

+3,690 (+6.15%)

May 3

67,600
67,000 - 68,200

+3,910 (+6.15%)

May 4

71,700
71,100 - 72,300

+4,160 (+6.15%)

Deaths by coronavirus

1,800Apr 24949Apr 153,550May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Illinois of about 7.03% each day. That corresponds to a doubling of the numbers approx. every 10 days.

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

Apr 15

949

-

Apr 16

1,070

+123 (+13%)

Apr 17

1,130

+60 (+5.6%)

Apr 18

1,260

+127 (+11.2%)

Apr 19

1,290

+31 (+2.46%)

Apr 20

1,350

+59 (+4.57%)

Apr 21

1,470

+119 (+8.82%)

Apr 22

1,570

+97 (+6.61%)

Apr 23

1,690

+123 (+7.86%)

Apr 24

1,800

+107 (+6.34%)

Apr 25

1,920
1,910 - 1,940

+130 (+7.23%)

Apr 26

2,060
2,050 - 2,070

+135 (+7.03%)

Apr 27

2,200
2,190 - 2,220

+145 (+7.03%)

Apr 28

2,360
2,350 - 2,370

+155 (+7.03%)

Apr 29

2,530
2,510 - 2,540

+166 (+7.03%)

Apr 30

2,700
2,690 - 2,720

+177 (+7.03%)

May 1

2,890
2,880 - 2,910

+190 (+7.03%)

May 2

3,100
3,080 - 3,110

+203 (+7.03%)

May 3

3,310
3,290 - 3,330

+218 (+7.03%)

May 4

3,550
3,530 - 3,570

+233 (+7.03%)

What is the mortality rate in Illinois?

Deaths by coronavirus versus statistical death rate

2838112360127315911997123107Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 12,700,000 people in Illinois, that corresponds to about 283 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

4.5%4.9%5.1%5.4%5.7%5.9%6.2%6.5%7%7.3%7.7%8.1%8.6%9.4%10%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 Illinois would be approx. 6.5%.

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

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

Coronavirus infections

5.79%4.64%7.17%5.74%4.1%3.81%4.91%6.19%5.21%7.37%Apr 15Apr 24)}

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

Deaths by coronavirus

9.33%13%5.6%11.2%2.46%4.57%8.82%6.61%7.86%6.34%Apr 15Apr 24)}

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

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

High standardMedium standard398Apr 251,900May 193,800May 31

The graph tries to predict the number of required intensive care units in Illinois. 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 (3,800 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (1,900 total).

Coronavirus in Indiana

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

Coronavirus infections

13,700Apr 248,960Apr 1520,700May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Indiana of about 4.25% 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 Indiana assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

8,960

-

Apr 16

9,540

+582 (+6.5%)

Apr 17

10,200

+612 (+6.41%)

Apr 18

10,600

+487 (+4.8%)

Apr 19

11,200

+570 (+5.36%)

Apr 20

11,700

+477 (+4.25%)

Apr 21

12,100

+409 (+3.5%)

Apr 22

12,400

+341 (+2.82%)

Apr 23

13,000

+601 (+4.83%)

Apr 24

13,700

+642 (+4.92%)

Apr 25

14,200
14,000 - 14,400

+523 (+3.82%)

Apr 26

14,800
14,600 - 15,000

+604 (+4.25%)

Apr 27

15,400
15,300 - 15,600

+630 (+4.25%)

Apr 28

16,100
15,900 - 16,300

+656 (+4.25%)

Apr 29

16,800
16,600 - 17,000

+684 (+4.25%)

Apr 30

17,500
17,300 - 17,700

+713 (+4.25%)

May 1

18,200
18,000 - 18,400

+744 (+4.25%)

May 2

19,000
18,800 - 19,200

+775 (+4.25%)

May 3

19,800
19,600 - 20,000

+808 (+4.25%)

May 4

20,700
20,400 - 20,900

+843 (+4.25%)

Deaths by coronavirus

741Apr 24436Apr 151,250May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Indiana of about 5.35% 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 Indiana assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

436

-

Apr 16

477

+41 (+9.4%)

Apr 17

522

+45 (+9.43%)

Apr 18

545

+23 (+4.41%)

Apr 19

562

+17 (+3.12%)

Apr 20

577

+15 (+2.67%)

Apr 21

635

+58 (+10.1%)

Apr 22

666

+31 (+4.88%)

Apr 23

706

+40 (+6.01%)

Apr 24

741

+35 (+4.96%)

Apr 25

781
778 - 785

+40 (+5.44%)

Apr 26

823
819 - 827

+42 (+5.35%)

Apr 27

867
863 - 871

+44 (+5.35%)

Apr 28

914
909 - 918

+46 (+5.35%)

Apr 29

963
958 - 967

+49 (+5.35%)

Apr 30

1,010
1,010 - 1,020

+52 (+5.35%)

May 1

1,070
1,060 - 1,070

+54 (+5.35%)

May 2

1,130
1,120 - 1,130

+57 (+5.35%)

May 3

1,190
1,180 - 1,190

+60 (+5.35%)

May 4

1,250
1,240 - 1,260

+63 (+5.35%)

What is the mortality rate in Indiana?

Deaths by coronavirus versus statistical death rate

15049414523171558314035Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 6,730,000 people in Indiana, that corresponds to about 150 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%5.7%6%6.1%6.3%6.6%7%7.3%7.8%8.3%8.7%8.9%9.3%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 Indiana 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 Indiana?

Coronavirus infections

5.08%6.5%6.41%4.8%5.36%4.25%3.5%2.82%4.83%4.92%Apr 15Apr 24)}

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

Deaths by coronavirus

12.7%9.4%9.43%4.41%3.12%2.67%10.1%4.88%6.01%4.96%Apr 15Apr 24)}

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

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

High standardMedium standard117Apr 251,010Jun 162,020Jul 3

The graph tries to predict the number of required intensive care units in Indiana. 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 (2,020 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (1,010 total).

Coronavirus in Iowa

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

Coronavirus infections

4,450Apr 242,000Apr 158,240May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Iowa of about 6.66% each day. That corresponds to a doubling of the numbers approx. every 11 days.

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

Apr 15

2,000

-

Apr 16

2,140

+146 (+7.32%)

Apr 17

2,330

+191 (+8.92%)

Apr 18

2,510

+181 (+7.76%)

Apr 19

2,900

+389 (+15.5%)

Apr 20

3,160

+257 (+8.86%)

Apr 21

3,640

+482 (+15.3%)

Apr 22

3,750

+107 (+2.94%)

Apr 23

3,920

+176 (+4.7%)

Apr 24

4,450

+521 (+13.3%)

Apr 25

4,610
4,390 - 4,850

+170 (+3.81%)

Apr 26

4,920
4,680 - 5,170

+307 (+6.66%)

Apr 27

5,250
4,990 - 5,520

+328 (+6.66%)

Apr 28

5,600
5,330 - 5,880

+349 (+6.66%)

Apr 29

5,970
5,680 - 6,280

+373 (+6.66%)

Apr 30

6,370
6,060 - 6,690

+398 (+6.66%)

May 1

6,790
6,460 - 7,140

+424 (+6.66%)

May 2

7,250
6,890 - 7,620

+452 (+6.66%)

May 3

7,730
7,350 - 8,120

+482 (+6.66%)

May 4

8,240
7,840 - 8,660

+514 (+6.66%)

Deaths by coronavirus

107Apr 2453Apr 15242May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Iowa of about 8.62% each day. That corresponds to a doubling of the numbers approx. every 8.4 days.

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

Apr 15

53

-

Apr 16

60

+7 (+13.2%)

Apr 17

64

+4 (+6.67%)

Apr 18

74

+10 (+15.6%)

Apr 19

75

+1 (+1.35%)

Apr 20

79

+4 (+5.33%)

Apr 21

83

+4 (+5.06%)

Apr 22

90

+7 (+8.43%)

Apr 23

96

+6 (+6.67%)

Apr 24

107

+11 (+11.5%)

Apr 25

115
113 - 117

+8 (+7.55%)

Apr 26

125
123 - 127

+10 (+8.62%)

Apr 27

136
133 - 138

+11 (+8.62%)

Apr 28

147
145 - 150

+12 (+8.62%)

Apr 29

160
157 - 163

+13 (+8.62%)

Apr 30

174
171 - 177

+14 (+8.62%)

May 1

189
185 - 193

+15 (+8.62%)

May 2

205
201 - 209

+16 (+8.62%)

May 3

223
219 - 227

+18 (+8.62%)

May 4

242
237 - 247

+19 (+8.62%)

What is the mortality rate in Iowa?

Deaths by coronavirus versus statistical death rate

70474101447611Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 3,160,000 people in Iowa, that corresponds to about 70 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

2.4%2.7%2.9%2.9%3.4%3.7%4.3%4.6%5%5.4%5.6%6.3%6.7%7.1%7.7%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 Iowa would be approx. 4.6%.

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

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

Coronavirus infections

5.06%7.32%8.92%7.76%15.5%8.86%15.3%2.94%4.7%13.3%Apr 15Apr 24)}

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

Deaths by coronavirus

8.16%13.2%6.67%15.6%1.35%5.33%5.06%8.43%6.67%11.5%Apr 15Apr 24)}

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

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

High standardMedium standard58Apr 25473May 29947Jun 9

The graph tries to predict the number of required intensive care units in Iowa. 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 (947 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (473 total).

Coronavirus in Kansas

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

Coronavirus infections

2,960Apr 241,500Apr 158,880May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Kansas of about 11.6% each day. That corresponds to a doubling of the numbers approx. every 6.3 days.

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

Apr 15

1,500

-

Apr 16

1,620

+111 (+7.38%)

Apr 17

1,730

+115 (+7.12%)

Apr 18

1,820

+91 (+5.26%)

Apr 19

1,910

+84 (+4.61%)

Apr 20

2,050

+143 (+7.51%)

Apr 21

2,160

+116 (+5.66%)

Apr 22

2,330

+167 (+7.72%)

Apr 23

2,720

+390 (+16.7%)

Apr 24

2,960

+238 (+8.75%)

Apr 25

3,320
3,210 - 3,430

+359 (+12.1%)

Apr 26

3,700
3,580 - 3,830

+383 (+11.6%)

Apr 27

4,130
3,990 - 4,270

+428 (+11.6%)

Apr 28

4,610
4,450 - 4,770

+477 (+11.6%)

Apr 29

5,140
4,970 - 5,320

+532 (+11.6%)

Apr 30

5,730
5,540 - 5,930

+594 (+11.6%)

May 1

6,390
6,180 - 6,620

+662 (+11.6%)

May 2

7,130
6,890 - 7,380

+739 (+11.6%)

May 3

7,960
7,690 - 8,230

+824 (+11.6%)

May 4

8,880
8,580 - 9,180

+919 (+11.6%)

Deaths by coronavirus

118Apr 2471Apr 15150May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Kansas of about 2.5% each day. That corresponds to a doubling of the numbers approx. every 28 days.

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

Apr 15

71

-

Apr 16

80

+9 (+12.7%)

Apr 17

82

+2 (+2.5%)

Apr 18

85

+3 (+3.66%)

Apr 19

93

+8 (+9.41%)

Apr 20

102

+9 (+9.68%)

Apr 21

109

+7 (+6.86%)

Apr 22

112

+3 (+2.75%)

Apr 23

113

+1 (+0.893%)

Apr 24

118

+5 (+4.42%)

Apr 25

120
118 - 122

+2 (+1.82%)

Apr 26

123
121 - 125

+3 (+2.5%)

Apr 27

126
124 - 128

+3 (+2.5%)

Apr 28

129
128 - 131

+3 (+2.5%)

Apr 29

133
131 - 135

+3 (+2.5%)

Apr 30

136
134 - 138

+3 (+2.5%)

May 1

139
137 - 141

+3 (+2.5%)

May 2

143
141 - 145

+3 (+2.5%)

May 3

146
144 - 148

+4 (+2.5%)

May 4

150
148 - 152

+4 (+2.5%)

What is the mortality rate in Kansas?

Deaths by coronavirus versus statistical death rate

652923897315Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 2,910,000 people in Kansas, that corresponds to about 65 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

4%4.3%5.1%5.5%5.8%6.2%6.5%6.8%7.3%7.8%8.2%8.5%8.8%9.3%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 Kansas would be approx. 6.8%.

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

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

Coronavirus infections

4.37%7.38%7.12%5.26%4.61%7.51%5.66%7.72%16.7%8.75%Apr 15Apr 24)}

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

Deaths by coronavirus

2.9%12.7%2.5%3.66%9.41%9.68%6.86%2.75%0.893%4.42%Apr 15Apr 24)}

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

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

High standardMedium standard39Apr 25437May 15874May 21

The graph tries to predict the number of required intensive care units in Kansas. 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 (874 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (437 total).

Coronavirus in Kentucky

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

Coronavirus infections

3,780Apr 242,210Apr 156,310May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Kentucky of about 5.39% 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 coronavirus infections in Kentucky assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

2,210

-

Apr 16

2,440

+225 (+10.2%)

Apr 17

2,520

+87 (+3.57%)

Apr 18

2,710

+185 (+7.34%)

Apr 19

2,960

+253 (+9.35%)

Apr 20

3,050

+90 (+3.04%)

Apr 21

3,200

+154 (+5.05%)

Apr 22

3,380

+174 (+5.43%)

Apr 23

3,480

+101 (+2.99%)

Apr 24

3,780

+300 (+8.62%)

Apr 25

3,940
3,850 - 4,030

+159 (+4.2%)

Apr 26

4,150
4,060 - 4,250

+212 (+5.39%)

Apr 27

4,370
4,280 - 4,470

+224 (+5.39%)

Apr 28

4,610
4,510 - 4,710

+236 (+5.39%)

Apr 29

4,860
4,750 - 4,970

+248 (+5.39%)

Apr 30

5,120
5,000 - 5,240

+262 (+5.39%)

May 1

5,390
5,270 - 5,520

+276 (+5.39%)

May 2

5,690
5,560 - 5,820

+291 (+5.39%)

May 3

5,990
5,860 - 6,130

+306 (+5.39%)

May 4

6,310
6,170 - 6,460

+323 (+5.39%)

Deaths by coronavirus

200Apr 24115Apr 15332May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Kentucky of about 5.15% each day. That corresponds to a doubling of the numbers approx. every 14 days.

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

Apr 15

115

-

Apr 16

129

+14 (+12.2%)

Apr 17

137

+8 (+6.2%)

Apr 18

144

+7 (+5.11%)

Apr 19

146

+2 (+1.39%)

Apr 20

154

+8 (+5.48%)

Apr 21

171

+17 (+11%)

Apr 22

185

+14 (+8.19%)

Apr 23

191

+6 (+3.24%)

Apr 24

200

+9 (+4.71%)

Apr 25

211
207 - 216

+11 (+5.69%)

Apr 26

222
218 - 227

+11 (+5.15%)

Apr 27

234
229 - 239

+11 (+5.15%)

Apr 28

246
241 - 251

+12 (+5.15%)

Apr 29

258
253 - 264

+13 (+5.15%)

Apr 30

272
266 - 277

+13 (+5.15%)

May 1

286
280 - 292

+14 (+5.15%)

May 2

300
294 - 307

+15 (+5.15%)

May 3

316
309 - 323

+15 (+5.15%)

May 4

332
325 - 339

+16 (+5.15%)

What is the mortality rate in Kentucky?

Deaths by coronavirus versus statistical death rate

1009148728171469Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 4,470,000 people in Kentucky, that corresponds to about 100 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

5.3%5.7%5.9%6.2%6.6%6.8%7.4%7.9%8.2%9%9.8%9.9%10%12%12%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 Kentucky would be approx. 7.9%.

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

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

Coronavirus infections

7.91%10.2%3.57%7.34%9.35%3.04%5.05%5.43%2.99%8.62%Apr 15Apr 24)}

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

Deaths by coronavirus

8.49%12.2%6.2%5.11%1.39%5.48%11%8.19%3.24%4.71%Apr 15Apr 24)}

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

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

High standardMedium standard38Apr 25670Jun 191,340Jul 2

The graph tries to predict the number of required intensive care units in Kentucky. 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 (1,340 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (670 total).

Coronavirus in Louisiana

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

Coronavirus infections

26,100Apr 2422,000Apr 1531,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Louisiana of about 1.72% each day. That corresponds to a doubling of the numbers approx. every 41 days.

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

Apr 15

22,000

-

Apr 16

22,500

+581 (+2.65%)

Apr 17

23,100

+586 (+2.6%)

Apr 18

23,600

+462 (+2%)

Apr 19

23,900

+348 (+1.48%)

Apr 20

24,500

+595 (+2.49%)

Apr 21

24,900

+331 (+1.35%)

Apr 22

25,300

+404 (+1.63%)

Apr 23

25,700

+481 (+1.9%)

Apr 24

26,100

+401 (+1.56%)

Apr 25

26,600
26,600 - 26,600

+461 (+1.76%)

Apr 26

27,100
27,000 - 27,100

+457 (+1.72%)

Apr 27

27,500
27,500 - 27,600

+464 (+1.72%)

Apr 28

28,000
28,000 - 28,000

+472 (+1.72%)

Apr 29

28,500
28,400 - 28,500

+481 (+1.72%)

Apr 30

29,000
28,900 - 29,000

+489 (+1.72%)

May 1

29,500
29,400 - 29,500

+497 (+1.72%)

May 2

30,000
29,900 - 30,000

+506 (+1.72%)

May 3

30,500
30,400 - 30,500

+514 (+1.72%)

May 4

31,000
31,000 - 31,000

+523 (+1.72%)

Deaths by coronavirus

1,660Apr 241,100Apr 152,990May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Louisiana of about 6% each day. That corresponds to a doubling of the numbers approx. every 12 days.

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

Apr 15

1,100

-

Apr 16

1,160

+53 (+4.81%)

Apr 17

1,210

+57 (+4.93%)

Apr 18

1,270

+54 (+4.45%)

Apr 19

1,300

+29 (+2.29%)

Apr 20

1,330

+32 (+2.47%)

Apr 21

1,410

+77 (+5.8%)

Apr 22

1,470

+68 (+4.84%)

Apr 23

1,600

+126 (+8.55%)

Apr 24

1,660

+61 (+3.81%)

Apr 25

1,770
1,740 - 1,800

+111 (+6.68%)

Apr 26

1,880
1,840 - 1,910

+106 (+6%)

Apr 27

1,990
1,950 - 2,030

+113 (+6%)

Apr 28

2,110
2,070 - 2,150

+119 (+6%)

Apr 29

2,240
2,190 - 2,280

+126 (+6%)

Apr 30

2,370
2,330 - 2,410

+134 (+6%)

May 1

2,510
2,470 - 2,560

+142 (+6%)

May 2

2,660
2,610 - 2,710

+151 (+6%)

May 3

2,820
2,770 - 2,870

+160 (+6%)

May 4

2,990
2,940 - 3,050

+169 (+6%)

What is the mortality rate in Louisiana?

Deaths by coronavirus versus statistical death rate

104905357542932776812661Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 4,650,000 people in Louisiana, that corresponds to about 104 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

6.4%6.4%6.6%6.7%6.8%6.9%7%7.2%7.4%7.6%7.7%7.9%8.1%8.3%8.6%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 Louisiana would be approx. 7.2%.

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

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

Coronavirus infections

2.01%2.65%2.6%2%1.48%2.49%1.35%1.63%1.9%1.56%Apr 15Apr 24)}

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

Deaths by coronavirus

8.88%4.81%4.93%4.45%2.29%2.47%5.8%4.84%8.55%3.81%Apr 15Apr 24)}

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

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

High standardMedium standard112Apr 25

The graph tries to predict the number of required intensive care units in Louisiana. 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 (1,390 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (697 total).

Coronavirus in Maine

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

Coronavirus infections

965Apr 24770Apr 151,280May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Maine of about 2.86% each day. That corresponds to a doubling of the numbers approx. every 25 days.

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

Apr 15

770

-

Apr 16

796

+26 (+3.38%)

Apr 17

827

+31 (+3.89%)

Apr 18

847

+20 (+2.42%)

Apr 19

867

+20 (+2.36%)

Apr 20

875

+8 (+0.923%)

Apr 21

888

+13 (+1.49%)

Apr 22

907

+19 (+2.14%)

Apr 23

937

+30 (+3.31%)

Apr 24

965

+28 (+2.99%)

Apr 25

991
986 - 996

+26 (+2.72%)

Apr 26

1,020
1,010 - 1,020

+28 (+2.86%)

Apr 27

1,050
1,040 - 1,050

+29 (+2.86%)

Apr 28

1,080
1,070 - 1,080

+30 (+2.86%)

Apr 29

1,110
1,100 - 1,120

+31 (+2.86%)

Apr 30

1,140
1,140 - 1,150

+32 (+2.86%)

May 1

1,170
1,170 - 1,180

+33 (+2.86%)

May 2

1,210
1,200 - 1,210

+34 (+2.86%)

May 3

1,240
1,240 - 1,250

+35 (+2.86%)

May 4

1,280
1,270 - 1,280

+36 (+2.86%)

Deaths by coronavirus

47Apr 2424Apr 15119May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Maine of about 9.64% each day. That corresponds to a doubling of the numbers approx. every 7.5 days.

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

Apr 15

24

-

Apr 16

27

+3 (+12.5%)

Apr 17

29

+2 (+7.41%)

Apr 18

32

+3 (+10.3%)

Apr 19

34

+2 (+6.25%)

Apr 20

35

+1 (+2.94%)

Apr 21

36

+1 (+2.86%)

Apr 22

39

+3 (+8.33%)

Apr 23

44

+5 (+12.8%)

Apr 24

47

+3 (+6.82%)

Apr 25

52
51 - 53

+5 (+10.6%)

Apr 26

57
56 - 58

+5 (+9.64%)

Apr 27

62
61 - 64

+5 (+9.64%)

Apr 28

68
67 - 70

+6 (+9.64%)

Apr 29

75
73 - 77

+7 (+9.64%)

Apr 30

82
81 - 84

+7 (+9.64%)

May 1

90
88 - 92

+8 (+9.64%)

May 2

99
97 - 101

+9 (+9.64%)

May 3

109
106 - 111

+10 (+9.64%)

May 4

119
116 - 122

+10 (+9.64%)

What is the mortality rate in Maine?

Deaths by coronavirus versus statistical death rate

304323211353Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 1,340,000 people in Maine, that corresponds to about 30 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

4.9%5%5.2%5.3%5.4%5.4%5.5%5.7%5.9%6.1%6.4%6.7%7.4%7.6%8%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 Maine would be approx. 5.7%.

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

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

Coronavirus infections

4.76%3.38%3.89%2.42%2.36%0.923%1.49%2.14%3.31%2.99%Apr 15Apr 24)}

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

Deaths by coronavirus

20%12.5%7.41%10.3%6.25%2.94%2.86%8.33%12.8%6.82%Apr 15Apr 24)}

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

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

High standardMedium standard6Apr 25

The graph tries to predict the number of required intensive care units in Maine. 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 (403 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (202 total).

Coronavirus in Maryland

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

Coronavirus infections

16,600Apr 2410,000Apr 1528,300May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Maryland of about 5.51% 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 coronavirus infections in Maryland assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

10,000

-

Apr 16

10,800

+752 (+7.5%)

Apr 17

11,600

+788 (+7.31%)

Apr 18

12,300

+754 (+6.52%)

Apr 19

12,800

+521 (+4.23%)

Apr 20

13,700

+837 (+6.52%)

Apr 21

14,200

+509 (+3.72%)

Apr 22

14,800

+582 (+4.1%)

Apr 23

15,700

+962 (+6.51%)

Apr 24

16,600

+879 (+5.59%)

Apr 25

17,500
17,300 - 17,700

+880 (+5.3%)

Apr 26

18,500
18,300 - 18,600

+963 (+5.51%)

Apr 27

19,500
19,300 - 19,700

+1,020 (+5.51%)

Apr 28

20,500
20,300 - 20,800

+1,070 (+5.51%)

Apr 29

21,700
21,500 - 21,900

+1,130 (+5.51%)

Apr 30

22,900
22,600 - 23,100

+1,190 (+5.51%)

May 1

24,100
23,900 - 24,400

+1,260 (+5.51%)

May 2

25,500
25,200 - 25,700

+1,330 (+5.51%)

May 3

26,900
26,600 - 27,100

+1,400 (+5.51%)

May 4

28,300
28,100 - 28,600

+1,480 (+5.51%)

Deaths by coronavirus

798Apr 24311Apr 151,570May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Maryland of about 6.99% each day. That corresponds to a doubling of the numbers approx. every 10 days.

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

Apr 15

311

-

Apr 16

319

+8 (+2.57%)

Apr 17

334

+15 (+4.7%)

Apr 18

421

+87 (+26%)

Apr 19

461

+40 (+9.5%)

Apr 20

582

+121 (+26.2%)

Apr 21

652

+70 (+12%)

Apr 22

698

+46 (+7.06%)

Apr 23

748

+50 (+7.16%)

Apr 24

798

+50 (+6.68%)

Apr 25

855
853 - 857

+57 (+7.11%)

Apr 26

914
913 - 916

+60 (+6.99%)

Apr 27

978
976 - 980

+64 (+6.99%)

Apr 28

1,050
1,040 - 1,050

+68 (+6.99%)

Apr 29

1,120
1,120 - 1,120

+73 (+6.99%)

Apr 30

1,200
1,200 - 1,200

+78 (+6.99%)

May 1

1,280
1,280 - 1,280

+84 (+6.99%)

May 2

1,370
1,370 - 1,370

+90 (+6.99%)

May 3

1,470
1,460 - 1,470

+96 (+6.99%)

May 4

1,570
1,570 - 1,570

+103 (+6.99%)

What is the mortality rate in Maryland?

Deaths by coronavirus versus statistical death rate

1359815874012170465050Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 6,050,000 people in Maryland, that corresponds to about 135 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

4.8%5.1%5.4%5.6%5.8%6.2%6.5%6.9%7.4%8%8.4%8.9%9.7%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 Maryland would be approx. 6.9%.

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

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

Coronavirus infections

5.91%7.5%7.31%6.52%4.23%6.52%3.72%4.1%6.51%5.59%Apr 15Apr 24)}

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

Deaths by coronavirus

2.98%2.57%4.7%26%9.5%26.2%12%7.06%7.16%6.68%Apr 15Apr 24)}

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

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

High standardMedium standard171Apr 25907May 261,810Jun 8

The graph tries to predict the number of required intensive care units in Maryland. 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 (1,810 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (907 total).

Coronavirus in Massachusetts

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

Coronavirus infections

51,000Apr 2429,900Apr 15102,000May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Massachusetts of about 7.33% 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 coronavirus infections in Massachusetts assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

29,900

-

Apr 16

32,200

+2,260 (+7.56%)

Apr 17

34,400

+2,220 (+6.9%)

Apr 18

36,400

+1,970 (+5.73%)

Apr 19

38,100

+1,710 (+4.69%)

Apr 20

38,100

+0 (+0%)

Apr 21

41,200

+3,120 (+8.2%)

Apr 22

42,900

+1,750 (+4.24%)

Apr 23

46,000

+3,080 (+7.17%)

Apr 24

51,000

+4,950 (+10.7%)

Apr 25

53,900
52,300 - 55,500

+2,900 (+5.69%)

Apr 26

57,800
56,100 - 59,600

+3,950 (+7.33%)

Apr 27

62,100
60,200 - 64,000

+4,240 (+7.33%)

Apr 28

66,600
64,600 - 68,700

+4,550 (+7.33%)

Apr 29

71,500
69,400 - 73,700

+4,880 (+7.33%)

Apr 30

76,700
74,400 - 79,100

+5,240 (+7.33%)

May 1

82,400
79,900 - 84,900

+5,630 (+7.33%)

May 2

88,400
85,800 - 91,100

+6,040 (+7.33%)

May 3

94,900
92,100 - 97,800

+6,480 (+7.33%)

May 4

102,000
98,800 - 105,000

+6,960 (+7.33%)

Deaths by coronavirus

2,560Apr 241,110Apr 156,150May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported deaths by coronavirus in Massachusetts of about 9.13% 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 deaths by coronavirus in Massachusetts assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

1,110

-

Apr 16

1,110

+0 (+0%)

Apr 17

1,250

+137 (+12.4%)

Apr 18

1,400

+159 (+12.8%)

Apr 19

1,710

+302 (+21.5%)

Apr 20

1,710

+0 (+0%)

Apr 21

1,960

+255 (+14.9%)

Apr 22

2,180

+221 (+11.3%)

Apr 23

2,360

+178 (+8.16%)

Apr 24

2,560

+196 (+8.31%)

Apr 25

2,800
2,760 - 2,850

+248 (+9.7%)

Apr 26

3,060
3,010 - 3,110

+256 (+9.13%)

Apr 27

3,340
3,290 - 3,390

+279 (+9.13%)

Apr 28

3,640
3,590 - 3,700

+305 (+9.13%)

Apr 29

3,980
3,920 - 4,040

+333 (+9.13%)

Apr 30

4,340
4,270 - 4,410

+363 (+9.13%)

May 1

4,740
4,660 - 4,810

+396 (+9.13%)

May 2

5,170
5,090 - 5,250

+432 (+9.13%)

May 3

5,640
5,560 - 5,720

+472 (+9.13%)

May 4

6,150
6,060 - 6,250

+515 (+9.13%)

What is the mortality rate in Massachusetts?

Deaths by coronavirus versus statistical death rate

15526401371593020255221178196Apr 15Apr 24)}

In United States of America, approx. 0.815% of the population die each year. With a population of roughly 6,950,000 people in Massachusetts, that corresponds to about 155 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%5.6%6%6.2%6.7%6.7%7%7.4%7.9%8.5%9.1%9.5%10%11%12%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 Massachusetts would be approx. 7.4%.

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

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

Coronavirus infections

6.23%7.56%6.9%5.73%4.69%0%8.2%4.24%7.17%10.7%Apr 15Apr 24)}

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

Deaths by coronavirus

31.3%0%12.4%12.8%21.5%0%14.9%11.3%8.16%8.31%Apr 15Apr 24)}

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

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

High standardMedium standard540Apr 251,040May 22,080May 12

The graph tries to predict the number of required intensive care units in Massachusetts. 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 (2,080 total).
  • Medium standard: There are 15 intensive care beds per 100,000 inhabitants (1,040 total).

Coronavirus in Michigan

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

Coronavirus infections

36,600Apr 2428,100Apr 1553,800May 4

Using log-linear regression on the data of the previous days, we could infer an increase of reported coronavirus infections in Michigan of about 3.9% 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 Michigan assuming that the numbers are following an exponential trend without any slowdown.

Apr 15

28,100

-

Apr 16

28,800

+750 (+2.67%)

Apr 17

30,000

+1,210 (+4.21%)

Apr 18

30,800

+768 (+2.56%)

Apr 19

31,400

+633 (+2.06%)