Coronavirus in New York

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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 New York and how could it go on?

7 days incidence (sum of new infections of the last 7 days per 100k inhabitants)

The graph above and the following table show the course of 7 days incidence in New York assuming that the numbers are following an exponential trend.

Jan 7

530

Jan 8

543

+13 (+2.45%)

Jan 9

553

+10 (+1.88%)

Jan 10

574

+21 (+3.79%)

Jan 11

589

+15 (+2.63%)

Jan 12

598

+8 (+1.44%)

Jan 13

591

-7 (-1.13%)

Jan 14

574

-17 (-2.96%)

Jan 15

573

0 (-0.0816%)

Jan 16

563

-10 (-1.7%)

Jan 17

550

-13 (-2.39%)

Jan 18

546

-4 (-0.719%)

Jan 19

535

-11 (-1.95%)

Jan 20

517

-18 (-3.44%)

Jan 21

518
507 - 530

+1 (+0.247%)

Jan 22

510
499 - 522

-8 (-1.5%)

Jan 23

503
492 - 514

-8 (-1.5%)

Jan 24

495
484 - 506

-8 (-1.5%)

Jan 25

488
477 - 499

-7 (-1.5%)

Jan 26

480
470 - 491

-7 (-1.5%)

Jan 27

473
463 - 484

-7 (-1.5%)

Jan 28

466
456 - 477

-7 (-1.5%)

Jan 29

459
449 - 469

-7 (-1.5%)

Jan 30

452
442 - 462

-7 (-1.5%)

Jan 31

445
436 - 455

-7 (-1.5%)

Feb 1

439
429 - 449

-7 (-1.5%)

Feb 2

432
423 - 442

-7 (-1.5%)

Feb 3

426
416 - 435

-6 (-1.5%)

Daily new coronavirus infections

The graph above and the following table show the course of reported daily new coronavirus infections in New York assuming that the numbers are following an exponential trend.

Jan 7

17,600

Jan 8

19,600

+1,970 (+11.2%)

Jan 9

17,800

-1,720 (-8.8%)

Jan 10

16,300

-1,530 (-8.58%)

Jan 11

14,200

-2,130 (-13.1%)

Jan 12

14,800

+612 (+4.32%)

Jan 13

14,700

-87 (-0.588%)

Jan 14

14,200

-,517 (-3.52%)

Jan 15

19,500

+5,280 (+37.2%)

Jan 16

15,900

-3,520 (-18.1%)

Jan 17

13,700

-2,250 (-14.1%)

Jan 18

13,400

-,284 (-2.07%)

Jan 19

12,700

-,689 (-5.14%)

Jan 20

11,100

-1,600 (-12.6%)

Jan 21

12,500
9,830 - 15,900

+1,380 (+12.4%)

Jan 22

12,200
9,600 - 15,500

-,300 (-2.4%)

Jan 23

11,900
9,370 - 15,100

-,293 (-2.4%)

Jan 24

11,600
9,140 - 14,800

-,286 (-2.4%)

Jan 25

11,300
8,920 - 14,400

-,279 (-2.4%)

Jan 26

11,100
8,710 - 14,100

-,272 (-2.4%)

Jan 27

10,800
8,500 - 13,700

-,266 (-2.4%)

Jan 28

10,500
8,300 - 13,400

-,259 (-2.4%)

Jan 29

10,300
8,100 - 13,100

-,253 (-2.4%)

Jan 30

10,000
7,900 - 12,800

-,247 (-2.4%)

Jan 31

9,800
7,710 - 12,500

-,241 (-2.4%)

Feb 1

9,560
7,530 - 12,200

-,235 (-2.4%)

Feb 2

9,330
7,350 - 11,900

-,230 (-2.4%)

Feb 3

9,110
7,170 - 11,600

-,224 (-2.4%)

Daily deaths by coronavirus

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

Jan 7

206

Jan 8

164

-42 (-20.4%)

Jan 9

189

+25 (+15.2%)

Jan 10

161

-28 (-14.8%)

Jan 11

202

+41 (+25.5%)

Jan 12

186

-16 (-7.92%)

Jan 13

172

-14 (-7.53%)

Jan 14

243

+71 (+41.3%)

Jan 15

202

-41 (-16.9%)

Jan 16

169

-33 (-16.3%)

Jan 17

187

+18 (+10.7%)

Jan 18

180

-7 (-3.74%)

Jan 19

195

+15 (+8.33%)

Jan 20

219

+24 (+12.3%)

Jan 21

196
159 - 242

-23 (-10.3%)

Jan 22

197
160 - 243

+0 (+0.195%)

Jan 23

197
160 - 243

+0 (+0.195%)

Jan 24

198
160 - 244

+0 (+0.195%)

Jan 25

198
160 - 244

+0 (+0.195%)

Jan 26

198
161 - 245

+0 (+0.195%)

Jan 27

199
161 - 245

+0 (+0.195%)

Jan 28

199
161 - 246

+0 (+0.195%)

Jan 29

200
162 - 246

+0 (+0.195%)

Jan 30

200
162 - 247

+0 (+0.195%)

Jan 31

200
162 - 247

+0 (+0.195%)

Feb 1

201
163 - 248

+0 (+0.195%)

Feb 2

201
163 - 248

+0 (+0.195%)

Feb 3

202
163 - 249

+0 (+0.195%)

How can I protect myself and others?

The German Federal Ministry of Health recommends:

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

We do not guarantee the accuracy of the information.

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