Laboratory at the Elm – Covid-19

COVID-19 Regional Numbers of Infected People

with Advanced Gompertz Function



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All the fits of the data of individual areas are created fully automatically. You may check on the graph (click on the image) if the fit has a sufficient quality, matching the data points as best as possible. There may be some cases, where by too unexpected real data, the fit is not giving a good forecast. So please use common sense to evaluate the data.

Locations or countries with not enough data points or other reasons are skipped and can be found in this list.

The table shows from the left: The maximum last cumulative number, the expected maximum number by fit, graph and location, the T2 also known as doubling time of the exponential growth, the day of turning point of the function.

The turning point is important, showing the turn from purely exponential growth to the process of fading out by limited number of victims.

In the middle of the graph is written the doubling time, that describes the time it needs to double the number of cases. This number is calculated using the logistic function and describes the growth before the turning point, where numbers rise quickly. In a simple picture, the T2 of the Gompertz function describes the later part and the doubling time of the logisitic the first part.

Color code on numbers of infected people: Below 30 , between 30 and 99, between 100 and 499, between 500 and 999, between 1000 and 4999, above 5000.

Color code on locations describe percentages of last number and expected Nmax: Above 95%, between 90% and 95%, between 80% and 89%, between 70% and 79%, between 60% and 69%, when number of cases is above 50 and Nmax is below 50% or the doubling time is below 3.5 days! Above 130%, a reoccurrence of an outbreak is indicated.

The location color code tells you, how well the Covid-19 outbreak has faded out and is under control (greenish). In red and magenta the areas are on fast rise in numbers. The color code in numbers tells you how severe the outbreak was in that region.

Applied maths is explained here.


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Actualisation date: Tue Jun 2 04:22:38 UTC 2020

Ncurrent Nmax (fit) cumulative location cases daily t2 (fit) dturning point (fit)
18113601942398 (±1.0%) US 17.404 (±1.1%) 109.53 (±0.3%)
5264477041642 (±9.6%) Brazil 34.892 (±1.7%) 200.80 (±1.5%)
414328573249 (±0.7%) Russia 17.890 (±0.5%) 131.32 (±0.1%)
276332296995 (±0.5%) United Kingdom 16.264 (±0.6%) 108.74 (±0.1%)
239638232710 (±0.3%) Spain 11.133 (±0.8%) 90.03 (±0.1%)
233197231774 (±0.3%) Italy 13.517 (±0.6%) 87.91 (±0.1%)
1983701577967 (±5.7%) India 32.643 (±1.2%) 186.98 (±1.0%)
185952182461 (±0.5%) France 11.273 (±1.3%) 94.17 (±0.2%)
183594178283 (±0.3%) Germany 11.540 (±0.8%) 90.03 (±0.1%)
170039466678 (±6.0%) Peru 25.564 (±2.1%) 154.55 (±1.2%)
164769162546 (±0.5%) Turkey 13.149 (±0.9%) 104.15 (±0.1%)
15444531148 (±4.4%) Iran 9.026 (±2.7%) 72.89 (±0.7%)
1051581032456908 (±121.6%) Chile 67.679 (±6.4%) 402.18 (±8.2%)
93435381945 (±2.9%) Mexico 28.237 (±0.8%) 165.97 (±0.6%)
93288103004 (±0.5%) Canada, Canada 17.212 (±0.6%) 111.30 (±0.1%)
87142171896 (±2.5%) Saudi Arabia 22.116 (±1.2%) 141.70 (±0.5%)
8415483003 (±0.2%) China total, China total 5.841 (±1.4%) 37.03 (±0.3%)
72460243338 (±4.4%) Pakistan 28.109 (±1.4%) 160.88 (±0.9%)
6813568078 (±0.2%) Hubei, China 5.532 (±1.5%) 37.92 (±0.3%)
5851758161 (±0.2%) Belgium 12.988 (±0.5%) 97.52 (±0.1%)
58433195441 (±3.1%) Qatar 26.987 (±1.0%) 159.69 (±0.6%)
5135459553 (±1.0%) Quebec, Canada 18.000 (±1.0%) 114.07 (±0.3%)
49534263487 (±8.2%) Bangladesh 28.229 (±2.1%) 172.69 (±1.4%)
4654546164 (±0.2%) Netherlands 13.037 (±0.4%) 95.32 (±0.1%)
4340359463 (±1.0%) Belarus 18.577 (±0.7%) 129.84 (±0.2%)
3909839808 (±2.3%) Ecuador 13.531 (±3.7%) 111.66 (±0.5%)
3781445388 (±0.9%) Sweden 20.131 (±0.8%) 114.49 (±0.3%)
3529238858 (±1.3%) Singapore 15.527 (±1.5%) 119.24 (±0.3%)
3519263285 (±2.6%) United Arab Emirates 23.354 (±1.3%) 137.18 (±0.6%)
3435743279339 (±58.0%) South Africa 60.388 (±4.0%) 348.33 (±4.9%)
3270031186 (±0.7%) Portugal 13.621 (±1.4%) 97.27 (±0.2%)
3087130519 (±0.2%) Switzerland 10.153 (±0.5%) 85.76 (±0.1%)
2984531515 (±0.9%) Ontario, Canada 16.638 (±1.1%) 111.10 (±0.2%)
29384247248 (±10.8%) Colombia 35.859 (±2.2%) 193.90 (±2.0%)
2776283781 (±8.8%) Kuwait 23.610 (±3.1%) 155.11 (±1.5%)
2694055811 (±5.2%) Indonesia 26.505 (±2.3%) 142.37 (±1.3%)
263841097980 (±32.0%) Egypt 46.156 (±4.1%) 250.35 (±4.4%)
2506225313 (±0.4%) Ireland 12.311 (±1.0%) 101.87 (±0.1%)
2456229209 (±0.9%) Ukraine 17.976 (±0.8%) 122.00 (±0.2%)
2416528546 (±2.1%) Poland 19.864 (±1.9%) 115.12 (±0.6%)
1939820651 (±0.6%) Romania 16.490 (±0.8%) 107.56 (±0.2%)
1863822557 (±4.1%) Philippines 22.289 (±2.9%) 120.17 (±1.3%)
1757227418 (±2.5%) Dominican Republic 23.011 (±1.5%) 130.45 (±0.7%)
1741514448682 (±163.1%) Argentina 65.488 (±12.0%) 364.97 (±15.2%)
1716916850 (±0.2%) Israel 10.709 (±0.7%) 92.83 (±0.1%)
1678717001 (±0.6%) Japan 11.853 (±1.5%) 101.52 (±0.2%)
1673316006 (±0.4%) Austria 9.186 (±1.3%) 85.00 (±0.2%)
15750412121 (±12.3%) Afghanistan 37.608 (±1.8%) 218.14 (±1.6%)
1383716520 (±3.4%) Panama 20.940 (±2.6%) 119.56 (±1.0%)
122233172735 (±95.0%) Oman 53.817 (±8.4%) 303.59 (±9.8%)
1187164519 (±10.0%) Bahrain 33.763 (±2.5%) 179.48 (±2.1%)
1169911896 (±0.5%) Denmark 15.031 (±0.9%) 96.54 (±0.2%)
1154110751 (±0.5%) Korea - South 8.593 (±2.3%) 61.98 (±0.5%)
1143011414 (±0.3%) Serbia 12.429 (±0.7%) 103.83 (±0.1%)
1130833922 (±10.9%) Kazakhstan 28.875 (±3.6%) 158.37 (±2.4%)
1057819345 (±3.7%) Nigeria 20.632 (±1.8%) 142.10 (±0.7%)
105312512387 (±34.1%) Bolivia 47.241 (±3.1%) 277.41 (±3.3%)
951315747 (±2.8%) Algeria 23.898 (±1.6%) 131.10 (±0.8%)
949219714547 (±121.9%) Armenia 67.535 (±7.9%) 384.86 (±10.1%)
93028759 (±0.6%) Czechia 12.284 (±1.6%) 91.22 (±0.3%)
84468262 (±0.3%) Norway 11.617 (±0.9%) 84.43 (±0.2%)
836011099 (±3.2%) Moldova 21.129 (±2.3%) 123.42 (±0.9%)
807010736 (±4.3%) Ghana 17.113 (±3.4%) 129.87 (±0.8%)
78577371 (±0.7%) Malaysia 14.044 (±1.4%) 91.25 (±0.3%)
78338829 (±0.6%) Morocco 16.554 (±0.8%) 112.76 (±0.2%)
70447425 (±1.3%) Alberta, Canada 13.614 (±2.3%) 107.80 (±0.3%)
68857213 (±0.3%) Finland 16.076 (±0.5%) 101.30 (±0.1%)
6868345273 (±110.4%) Iraq 56.297 (±13.4%) 286.61 (±16.3%)
639773677 (±40.9%) Cameroon 40.503 (±7.5%) 210.14 (±7.5%)
566227651 (±27.3%) Azerbaijan 36.193 (±6.9%) 180.59 (±6.3%)
536261029 (±29.9%) Honduras 34.852 (±5.6%) 197.33 (±4.8%)
5336150275589 (±255.2%) Guatemala 63.405 (±11.9%) 390.83 (±15.0%)
517310535 (±4.1%) Sudan 18.441 (±1.9%) 146.07 (±0.6%)
40193905 (±0.3%) Luxembourg 9.436 (±1.1%) 86.38 (±0.1%)
40136022 (±5.4%) Tajikistan 13.252 (±3.7%) 141.53 (±0.5%)
38923995 (±0.4%) Hungary 14.644 (±0.7%) 104.69 (±0.1%)
38444919 (±1.9%) Guinea 18.280 (±1.5%) 126.76 (±0.4%)
37396799 (±5.3%) Senegal 21.606 (±2.7%) 139.26 (±1.1%)
37023712 (±2.8%) Uzbekistan 16.702 (±3.4%) 110.89 (±0.7%)
3569571504 (±395.3%) Djibouti 59.017 (±38.6%) 316.49 (±47.0%)
3195878142 (±45.6%) Congo (Kinshasa) 53.452 (±4.0%) 301.92 (±4.7%)
31043053 (±0.2%) New South Wales, Australia 7.582 (±1.1%) 85.12 (±0.1%)
30823022 (±0.2%) Thailand 9.431 (±0.7%) 86.67 (±0.1%)
29513969 (±3.1%) Cote d'Ivoire 21.623 (±2.1%) 124.95 (±0.8%)
29182851 (±0.4%) Greece 12.308 (±1.0%) 87.68 (±0.2%)
26556798 (±9.2%) Gabon 20.328 (±3.7%) 150.00 (±1.4%)
25972597 (±0.8%) British Columbia, Canada 14.910 (±1.6%) 92.98 (±0.3%)
258210408 (±8.8%) El Salvador 26.818 (±2.5%) 164.40 (±1.6%)
25242652 (±0.8%) Bosnia and Herzegovina 16.049 (±1.1%) 103.89 (±0.2%)
25193166 (±1.8%) Bulgaria 19.709 (±1.6%) 113.84 (±0.5%)
23152144 (±1.5%) North Macedonia 15.768 (±2.2%) 102.79 (±0.5%)
22462232 (±0.2%) Croatia 10.971 (±0.6%) 90.82 (±0.1%)
222637355060 (±296.7%) Haiti 47.860 (±14.5%) 314.74 (±16.2%)
20832043 (±0.3%) Cuba 13.113 (±0.6%) 104.61 (±0.1%)
20232409 (±1.8%) Somalia 16.184 (±1.6%) 127.41 (±0.3%)
20214254739 (±220.5%) Kenya 67.122 (±14.2%) 383.92 (±18.0%)
19343140 (±6.9%) Mayotte, France 21.586 (±3.8%) 135.56 (±1.5%)
18701815 (±0.3%) Estonia 11.762 (±0.9%) 88.75 (±0.2%)
18292227 (±3.8%) Maldives 16.237 (±3.0%) 131.69 (±0.6%)
18172866 (±8.5%) Kyrgyzstan 24.844 (±4.7%) 132.29 (±2.4%)
181164855237 (±296.6%) Nepal 48.280 (±13.2%) 321.41 (±14.9%)
18061815 (±0.3%) Iceland 8.729 (±1.0%) 83.71 (±0.1%)
16781579 (±0.7%) Lithuania 11.500 (±1.8%) 92.25 (±0.3%)
166239415520 (±700.0%) Venezuela 77.663 (±33.1%) 459.79 (±44.1%)
16434240 (±14.8%) Sri Lanka 29.557 (±5.4%) 152.72 (±3.8%)
15961354 (±0.1%) Guangdong, China 4.561 (±0.5%) 31.51 (±0.1%)
15221557 (±0.8%) Slovakia 12.339 (±1.9%) 96.24 (±0.3%)
15041497 (±0.1%) New Zealand 7.768 (±0.5%) 89.55 (±0.0%)
14731476 (±0.2%) Slovenia 11.072 (±0.6%) 84.87 (±0.1%)
13391325 (±1.4%) Guinea-Bissau 10.676 (±2.2%) 126.99 (±0.2%)
13151813 (±4.1%) Mali 20.315 (±2.7%) 129.54 (±0.9%)
13065237 (±25.5%) Equatorial Guinea 27.280 (±7.5%) 164.12 (±4.7%)
12761276 (±0.1%) Henan, China 4.590 (±0.4%) 32.44 (±0.1%)
12681247 (±0.2%) Zhejiang, China 4.446 (±1.5%) 30.74 (±0.3%)
125742851877 (±659.3%) Ethiopia 62.019 (±29.7%) 386.63 (±37.0%)
12331180 (±3.8%) Lebanon 19.262 (±4.7%) 95.49 (±1.6%)
11431141 (±1.3%) Albania 17.211 (±1.8%) 101.64 (±0.4%)
10891194 (±3.9%) Zambia 10.458 (±5.3%) 132.92 (±0.4%)
10841054 (±0.3%) Tunisia 10.833 (±1.0%) 91.74 (±0.1%)
1084942 (±1.8%) Costa Rica 14.724 (±3.4%) 92.63 (±0.7%)
106922666 (±49.7%) Central African Republic 29.383 (±7.7%) 195.89 (±5.5%)
10661039 (±0.9%) Latvia 13.889 (±1.9%) 92.13 (±0.4%)
10641052 (±1.1%) Kosovo 12.679 (±2.2%) 104.95 (±0.3%)
10611046 (±0.2%) Queensland, Australia 7.577 (±0.8%) 83.93 (±0.1%)
10571079 (±0.5%) Nova Scotia, Canada 11.612 (±1.2%) 100.43 (±0.2%)
10191020 (±0.1%) Hunan, China 4.486 (±0.4%) 31.67 (±0.1%)
995302 (±3.1%) Paraguay 13.522 (±2.7%) 97.62 (±0.6%)
9942227 (±20.4%) South Sudan 14.959 (±9.6%) 147.73 (±2.0%)
991993 (±0.1%) Anhui, China 4.604 (±0.7%) 33.04 (±0.1%)
958906 (±1.4%) Niger 11.101 (±3.5%) 99.73 (±0.4%)
949927 (±0.3%) Cyprus 10.948 (±1.0%) 92.59 (±0.1%)
945485 (±0.2%) Heilongjiang, China 4.830 (±0.9%) 35.46 (±0.2%)
937938 (±0.1%) Jiangxi, China 4.459 (±0.6%) 32.92 (±0.1%)
8651662 (±4.3%) Sierra Leone 19.109 (±2.2%) 142.52 (±0.7%)
847828 (±0.9%) Burkina Faso 13.692 (±1.9%) 94.50 (±0.4%)
82627133465 (±718.4%) Madagascar 74.728 (±32.8%) 448.24 (±43.3%)
825787 (±1.4%) Uruguay 14.859 (±2.9%) 90.83 (±0.6%)
794818 (±0.7%) Georgia 16.195 (±1.0%) 104.76 (±0.2%)
792782 (±0.3%) Shandong, China 6.993 (±1.7%) 35.55 (±0.6%)
790969 (±2.5%) Chad 13.486 (±2.4%) 132.98 (±0.3%)
765761 (±0.2%) Andorra 9.389 (±0.6%) 87.95 (±0.1%)
746750 (±3.9%) Jordan 18.567 (±5.1%) 97.01 (±1.5%)
712713 (±0.3%) Diamond Princess 4.274 (±2.0%) 44.74 (±0.2%)
673339 (±0.2%) Shanghai, China 4.551 (±0.8%) 30.40 (±0.2%)
671722 (±1.0%) San Marino 16.673 (±1.6%) 93.52 (±0.4%)
653646 (±0.1%) Jiangsu, China 4.999 (±1.0%) 33.15 (±0.2%)
646748 (±3.5%) Saskatchewan, Canada 19.063 (±4.0%) 104.74 (±1.2%)
619593 (±1.4%) Malta 14.195 (±2.8%) 93.67 (±0.5%)
6111218 (±10.8%) Congo (Brazzaville) 25.372 (±5.0%) 141.34 (±2.7%)
593418 (±0.4%) Beijing, China 5.465 (±1.3%) 31.24 (±0.4%)
591559 (±0.3%) Western Australia, Australia 8.032 (±1.1%) 85.34 (±0.1%)
5882939 (±55.9%) Mauritania 17.281 (±14.4%) 161.63 (±4.7%)
588576 (±1.2%) Jamaica 11.402 (±2.6%) 110.55 (±0.3%)
579578 (±0.1%) Chongqing, China 4.922 (±0.5%) 30.77 (±0.1%)
577554 (±0.2%) Sichuan, China 5.753 (±1.1%) 32.58 (±0.3%)
560554 (±0.3%) Channel Islands, United Kingdom 9.107 (±0.9%) 92.68 (±0.1%)
509519 (±1.2%) Tanzania 8.578 (±3.8%) 110.28 (±0.3%)
4999386053 (±723.6%) French Guiana, France 82.424 (±35.2%) 480.66 (±47.6%)
484859 (±29.7%) Sao Tome and Principe 18.295 (±15.3%) 142.61 (±4.5%)
473437 (±0.5%) Reunion, France 8.124 (±2.1%) 87.08 (±0.2%)
458544 (±2.9%) Cabo Verde 16.497 (±2.6%) 126.71 (±0.5%)
4577419078 (±1061.1%) Uganda 80.401 (±52.0%) 470.39 (±69.8%)
449414 (±1.2%) West Bank and Gaza 12.976 (±2.7%) 91.43 (±0.5%)
4435694236 (±514.0%) Togo 80.924 (±26.8%) 467.02 (±36.0%)
44374 (±7.0%) Taiwan 13.792 (±5.0%) 52.39 (±3.7%)
440439 (±0.2%) South Australia, Australia 6.523 (±1.0%) 83.90 (±0.1%)
377161 (±1.7%) Rwanda 10.026 (±2.5%) 88.35 (±0.3%)
358296 (±0.2%) Fujian, China 4.669 (±0.9%) 30.36 (±0.2%)
354517 (±5.4%) Yemen 13.967 (±3.4%) 142.45 (±0.6%)
339241 (±5.3%) Benin 5.642 (±21.7%) 122.84 (±0.7%)
3364174657 (±1497.0%) Malawi 51.241 (±74.8%) 329.20 (±86.0%)
336334 (±0.4%) Isle of Man, United Kingdom 8.942 (±1.3%) 95.22 (±0.1%)
335335 (±0.5%) Mauritius 7.464 (±2.0%) 89.40 (±0.2%)
328325 (±0.2%) Hebei, China 5.500 (±1.1%) 34.23 (±0.3%)
328305 (±0.9%) Vietnam 11.316 (±2.6%) 81.01 (±0.5%)
324325 (±0.3%) Montenegro 8.306 (±1.4%) 90.43 (±0.1%)
309273 (±0.9%) Shaanxi, China 5.723 (±5.4%) 32.20 (±1.6%)
296316 (±1.6%) Liberia 16.382 (±1.8%) 116.15 (±0.4%)
295285 (±0.6%) Manitoba, Canada 8.160 (±2.3%) 90.26 (±0.2%)
293350 (±3.0%) Eswatini 15.926 (±2.8%) 126.69 (±0.5%)
261259 (±0.3%) Newfoundland and Labrador, Canada 6.655 (±1.3%) 87.29 (±0.1%)
254254 (±0.1%) Guangxi, China 5.269 (±0.5%) 31.44 (±0.1%)
2547152 (±84.8%) Mozambique 45.072 (±12.3%) 238.83 (±13.1%)
23576 (±0.4%) Inner Mongolia, China 5.386 (±1.4%) 32.62 (±0.4%)
228234 (±0.7%) Tasmania, Australia 11.336 (±2.0%) 94.33 (±0.3%)
228208 (±1.5%) Burma 12.142 (±3.1%) 106.44 (±0.4%)
2032628273 (±1563.6%) Zimbabwe 62.910 (±77.5%) 384.35 (±96.7%)
200187 (±0.8%) Martinique, France 9.528 (±2.8%) 85.14 (±0.4%)
198134 (±0.3%) Shanxi, China 4.347 (±1.3%) 31.55 (±0.3%)
192137 (±0.4%) Tianjin, China 5.585 (±1.2%) 32.97 (±0.3%)
187186 (±0.2%) Faroe Islands, Denmark 6.260 (±1.1%) 79.23 (±0.1%)
185181 (±0.3%) Yunnan, China 4.902 (±1.9%) 30.25 (±0.5%)
1851530312 (±783.6%) Mongolia 74.414 (±42.8%) 431.44 (±56.2%)
170149 (±0.7%) Gibraltar, United Kingdom 8.733 (±2.6%) 88.33 (±0.3%)
169169 (±0.2%) Hainan, China 5.115 (±1.2%) 31.76 (±0.3%)
168591 (±143.7%) Libya 41.236 (±39.0%) 186.06 (±40.1%)
162154 (±0.5%) Guadeloupe, France 7.963 (±2.0%) 82.61 (±0.2%)
155113 (±1.8%) Jilin, China 7.332 (±9.1%) 35.26 (±3.4%)
153186 (±3.8%) Guyana 20.618 (±3.3%) 115.30 (±1.2%)
150209 (±12.2%) Cayman Islands, United Kingdom 24.801 (±7.8%) 122.70 (±4.1%)
149124 (±0.3%) Liaoning, China 4.697 (±1.3%) 30.00 (±0.3%)
147147 (±0.2%) Guizhou, China 4.470 (±1.3%) 34.71 (±0.2%)
141139 (±0.3%) Brunei 7.104 (±1.5%) 76.26 (±0.2%)
141136 (±1.2%) Bermuda, United Kingdom 13.152 (±2.4%) 99.59 (±0.4%)
139139 (±0.8%) Gansu, China 10.549 (±3.2%) 36.46 (±1.8%)
132121 (±0.5%) New Brunswick, Canada 7.232 (±2.2%) 86.90 (±0.2%)
125122 (±0.3%) Cambodia 6.043 (±1.8%) 79.18 (±0.1%)
123149029 (±889.2%) Syria 77.586 (±63.1%) 422.61 (±83.8%)
117116 (±0.5%) Trinidad and Tobago 7.183 (±2.2%) 82.75 (±0.2%)
107106 (±0.3%) Australian Capital Territory, Australia 6.273 (±1.4%) 84.39 (±0.1%)
102103 (±0.7%) Bahamas 13.393 (±1.3%) 100.25 (±0.2%)
101101 (±0.4%) Aruba, Netherlands 8.263 (±1.6%) 88.19 (±0.2%)
9997 (±0.3%) Monaco 8.425 (±1.4%) 86.40 (±0.2%)
9287 (±0.7%) Barbados 9.967 (±2.4%) 89.26 (±0.3%)
86944 (±65.5%) Angola 45.204 (±12.6%) 218.74 (±13.7%)
8282 (±0.4%) Liechtenstein 7.130 (±2.0%) 80.34 (±0.2%)
7777 (±0.5%) Sint Maarten, Netherlands 8.811 (±1.7%) 96.14 (±0.2%)
7676 (±0.2%) Xinjiang, China 5.325 (±1.4%) 34.60 (±0.3%)
7575 (±0.2%) Ningxia, China 5.646 (±1.1%) 33.46 (±0.3%)
6060 (±0.5%) French Polynesia, France 9.410 (±1.7%) 84.75 (±0.2%)
4546 (±0.6%) Macau, China 8.374 (±2.7%) 77.87 (±0.3%)
434301267 (±981.6%) Bhutan 84.992 (±39.4%) 511.29 (±54.0%)
4139 (±0.7%) St Martin, France 9.154 (±2.6%) 88.56 (±0.3%)
3939 (±0.4%) Eritrea 6.887 (±2.0%) 90.44 (±0.2%)
3835 (±5.7%) Botswana 16.911 (±8.4%) 105.37 (±1.6%)
2929 (±0.5%) Northern Territory, Australia 6.702 (±2.4%) 86.23 (±0.2%)
2727 (±0.5%) Prince Edward Island, Canada 6.112 (±2.9%) 87.11 (±0.2%)
2625 (±0.6%) Antigua and Barbuda 8.571 (±2.5%) 90.67 (±0.3%)
2518 (±1.8%) Namibia 8.395 (±7.4%) 84.26 (±0.9%)
2535 (±6.4%) Gambia 20.474 (±5.4%) 117.25 (±1.9%)
2424 (±0.6%) Timor-Leste 4.371 (±3.9%) 105.48 (±0.1%)
2323 (±2.1%) Grenada 14.460 (±4.8%) 92.87 (±0.8%)
2018 (±0.4%) New Caledonia, France 4.727 (±3.0%) 82.37 (±0.2%)
1919 (±0.7%) Laos 7.971 (±3.2%) 89.15 (±0.3%)
1818 (±0.3%) Qinghai, China 3.613 (±2.3%) 29.23 (±0.4%)
1818 (±1.0%) Belize 6.402 (±4.7%) 96.71 (±0.3%)
1818 (±0.9%) Fiji 8.361 (±3.5%) 89.99 (±0.4%)


For countries in this list, the number of infected people must be at minimum 13 people. In the list of numbers of a country, there must be at least 7 different numbers. The turning point is guessed by using half the maximum number and then looks for the first value above that value. If the turning point is at the last value, the fit is omitted. The order of countries is by having its first case.
.·. Impressum