Labor am ElmCOVID-19 Regionale Zahlen der Infizireten
gefittet mit erweiterter Gompertz Funktion
mit erweiterter Gompertz Funktion
Alle Datenanpassungen (Fits) der einzelnen Länder/Orte sind vollständig automatisiert erstellt. Durch Anklicken auf das Bild kann überprüft werden, ob der Fit die notwendige Qualität hat anhand der Lage der Daten zur Funktion uns seiner Fehlerwerte. In einigen Fällen mit sehr streuenden realen Daten kann der Fit auch eine schlechte Vorhersage ergeben. Anhand der Fehlerwerte und des optischen Verlaufs sollten die Aussagen sinnvoll bewertet werden.
Orte oder Länder, die wegen ungenügender Daten wurden ausgelassen und können hier mit Begründung gefunden werden..
Die Tabelle zeigt von links: aktuelle Infiziertenanzahl und Land/Ort, maximale kumulative Anzahl (fit), Graphik Infizierter und fit, Graphik Infizierter pro Tag und fit, T2 Verdopplungszeit, Tag des Wendepunkts der Funktion.
Der Wendepunkt ist von Bedeutung, weil die Änderung vom reinen exponentiellen Wachstum zur linearen Phase und dem Abklingen der täglichen Infiziertenzahlen anzeigt.
Die oben-mittig angezeigte Verdopplungszeit in der Graphik beschreibt die Verdopplungszeit am Anfang der Entwicklung vor dem Wendepunkt. Diese Zahl ist mit der Logistischen Funktion berechnet worden. Einfach gesagt beschreibt T2 der Gompertz funktion den mittleren und späteren Teil der Entwicklung, die Logistische Funktion den ersten Teil.
Farbencode für die Zahlen der Infizierten: Unter 500 , zwischen 500 und 999, zwischen 1000 und 9999, zwischen 10000 und 49999, zwischen 50000 und 99999, zwischen 100000.
Der Farbencode für Länder/Orte beschreibt den Anteil, wieviel von Nmax durchlaufen wurde: Über 95%, zwischen 90% und 95%, zwischen 80% und 89%, zwischen 70% und 79%, zwischen 60% und 69%, wenn die Anzahl über 50 und Nmax ist unter 50% oder die Verdopplungszeit ist unter 3.5 Tage! Über 130% zeigt einen Neuausbruch der Infiziertenwelle an.
Der Farbencode des Wendepunktes ist: Mehr als 20 Tage überschritten, mehr als 10 Tage überschritten, mehr als 5 Tage überschritten, liegt 5 Tage voraus, liegt 10 Tage voraus, liegt mehr als 10 Tage voraus.
Der Farbencode für Länder/Orte zeigt gut an, wie gut der Covid-19-Ausbruch ausgeklungen ist und wenn er wieder unter Kontrolle ist (grünliche Farben). Länder/Orte in rot oder magenta haben aktuell einen starken Anstieg in den Fallszahlen. Der Farbencode bei den Zahlen gibt an, wie schwer der Ausbruch in einem Land/Ort war oder ist.
Angewendete Mathematik ist hier erklärt.
Wenn Sie meine Arbeit zu Covid-19 unterstützen möchten:
(Wenn Sie auf das Bild klicken, akzeptieren Sie Cookies vom Drittanbieter, die von Paypal benötigt werden.)
Für die alte breite Desktop-Ansicht, bitte hier folgen.
Aktualisierungsdatum: Fr 18. Sep 06:27:50 CEST 2020
Klicken auf den rechten Pfeil öffnet den Inhalt, Klicken auf das Bild vergrößert es.
Bei Klick auf den Namen führt dieser zu einer Seite mit allen Bildern für das Land.
Bei Klick auf den Namen führt dieser zu einer Seite mit allen Bildern für das Land.
| Naktuell Land/Ort |
Nmax (err) | kumulativ_Inf. | Infektionen_täglich | T2 (err) | dWendepunkt (err) |
| 6630051 US | 2220178 (±1.0%) |  |  | 19.478 (±1.3%) | 113.55 (±0.3%) |
| 5020359 India | 18848580 (±1.9%) |  |  | 50.584 (±0.6%) | 279.11 (±0.4%) |
| 4419083 Brazil | 5868666 (±0.5%) |  |  | 36.747 (±0.4%) | 201.27 (±0.1%) |
| 738020 Peru | 1135626 (±3.8%) |  |  | 45.189 (±2.2%) | 208.85 (±1.4%) |
| 736377 Colombia | 1305533 (±2.3%) |  |  | 37.626 (±1.2%) | 231.48 (±0.5%) |
| 680931 Mexico | 878945 (±0.3%) |  |  | 36.569 (±0.2%) | 197.51 (±0.1%) |
| 653444 South Africa | 691112 (±0.7%) |  |  | 22.604 (±1.1%) | 190.36 (±0.1%) |
| 614360 Spain | 238126 (±0.3%) |  |  | 11.609 (±0.9%) | 90.40 (±0.2%) |
| 589012 Argentina | 2369325 (±2.0%) |  |  | 51.367 (±0.6%) | 284.18 (±0.4%) |
| 439287 Chile | 423456 (±0.5%) |  |  | 24.498 (±0.9%) | 158.53 (±0.2%) |
| 421861 France | 185231 (±0.4%) |  |  | 11.570 (±1.2%) | 94.38 (±0.2%) |
| 410334 Iran | 481285 (±1.3%) |  |  | 40.788 (±1.2%) | 162.03 (±0.7%) |
| 378219 United Kingdom | 282525 (±0.2%) |  |  | 16.808 (±0.5%) | 105.86 (±0.1%) |
| 342671 Bangladesh | 375465 (±0.5%) |  |  | 30.827 (±0.6%) | 181.71 (±0.2%) |
| 327551 Saudi Arabia | 343989 (±0.3%) |  |  | 27.848 (±0.5%) | 163.41 (±0.1%) |
| 303634 Pakistan | 304702 (±0.4%) |  |  | 21.877 (±0.9%) | 158.17 (±0.2%) |
| 303059 Iraq | 588264 (±2.2%) |  |  | 41.804 (±1.0%) | 238.72 (±0.5%) |
| 296391 Turkey | 166437 (±0.5%) |  |  | 13.579 (±1.1%) | 104.62 (±0.2%) |
| 291442 Italy | 238124 (±0.2%) |  |  | 14.122 (±0.6%) | 88.54 (±0.1%) |
| 272934 Philippines | 1084734 (±8.9%) |  |  | 53.121 (±2.6%) | 282.22 (±2.0%) |
| 266869 Germany | 183324 (±0.3%) |  |  | 12.133 (±1.0%) | 90.51 (±0.2%) |
| 228993 Indonesia | 615626 (±3.2%) |  |  | 54.895 (±1.1%) | 262.05 (±0.9%) |
| 170465 Israel | 16815 (±0.3%) |  |  | 10.672 (±0.7%) | 92.80 (±0.1%) |
| 166694 Ukraine | 1028106 (±14.6%) |  |  | 71.791 (±3.3%) | 333.16 (±3.6%) |
| 141852 Canada, Canada | 107302 (±0.2%) |  |  | 17.896 (±0.4%) | 112.45 (±0.1%) |
| 128872 Bolivia | 161925 (±0.6%) |  |  | 32.570 (±0.5%) | 200.79 (±0.2%) |
| 122449 Qatar | 119205 (±0.2%) |  |  | 21.979 (±0.5%) | 144.22 (±0.1%) |
| 121525 Ecuador | 154915 (±2.7%) |  |  | 41.838 (±2.2%) | 178.06 (±1.3%) |
| 107056 Kazakhstan | 112449 (±1.0%) |  |  | 20.944 (±2.0%) | 184.36 (±0.2%) |
| 103466 Panama | 143653 (±1.4%) |  |  | 38.421 (±1.0%) | 201.39 (±0.4%) |
| 101500 Egypt | 102572 (±0.4%) |  |  | 22.252 (±0.8%) | 159.96 (±0.1%) |
| 96999 Kuwait | 102716 (±1.2%) |  |  | 33.430 (±1.3%) | 171.85 (±0.5%) |
| 95948 Belgium | 60087 (±0.2%) |  |  | 13.680 (±0.6%) | 98.17 (±0.1%) |
| 92016 Morocco | 8802 (±0.5%) |  |  | 16.513 (±0.7%) | 112.69 (±0.1%) |
| 91196 Oman | 92692 (±0.6%) |  |  | 23.469 (±1.1%) | 174.65 (±0.2%) |
| 90253 China total, China total | 85151 (±0.2%) |  |  | 6.118 (±1.9%) | 37.27 (±0.5%) |
| 87575 Sweden | 88921 (±0.5%) |  |  | 28.252 (±0.8%) | 139.42 (±0.3%) |
| 86320 Netherlands | 49020 (±0.3%) |  |  | 14.381 (±1.0%) | 96.59 (±0.2%) |
| 82924 Guatemala | 101504 (±0.7%) |  |  | 31.255 (±0.6%) | 201.45 (±0.2%) |
| 81782 United Arab Emirates | 74590 (±0.8%) |  |  | 29.154 (±1.4%) | 146.08 (±0.4%) |
| 76997 Japan | 16983 (±0.4%) |  |  | 12.055 (±1.1%) | 100.33 (±0.2%) |
| 75734 Poland | 40266 (±1.9%) |  |  | 24.996 (±1.7%) | 127.89 (±0.7%) |
| 74763 Belarus | 71392 (±0.2%) |  |  | 21.193 (±0.5%) | 134.93 (±0.1%) |
| 69660 Honduras | 82506 (±1.0%) |  |  | 32.265 (±0.9%) | 197.92 (±0.3%) |
| 68139 Hubei, China | 68109 (±0.1%) |  |  | 5.536 (±1.1%) | 37.92 (±0.2%) |
| 66224 Ethiopia | 254115 (±10.2%) |  |  | 45.166 (±3.1%) | 274.24 (±1.9%) |
| 65857 Quebec, Canada | 6272 (±1154.9%) |  |  | 18.173 (±87.6%) | 120.30 (±83.4%) |
| 63416 Venezuela | 180061 (±3.7%) |  |  | 43.885 (±1.3%) | 261.46 (±0.7%) |
| 62484 Bahrain | 67462 (±0.9%) |  |  | 34.307 (±0.9%) | 179.98 (±0.3%) |
| 59516 Costa Rica | 174677 (±4.1%) |  |  | 44.144 (±1.4%) | 265.00 (±0.8%) |
| 58327 Nepal | 21811 (±1.9%) |  |  | 17.713 (±1.8%) | 170.05 (±0.2%) |
| 57514 Singapore | 55829 (±0.6%) |  |  | 24.109 (±1.3%) | 130.76 (±0.4%) |
| 56604 Nigeria | 15242 (±4.5%) |  |  | 18.635 (±2.1%) | 136.59 (±0.7%) |
| 49015 Uzbekistan | 77385 (±3.6%) |  |  | 37.800 (±2.2%) | 220.78 (±0.9%) |
| 48966 Algeria | 14382 (±1.4%) |  |  | 22.825 (±1.1%) | 127.96 (±0.4%) |
| 48265 Switzerland | 30646 (±0.1%) |  |  | 10.231 (±0.5%) | 85.82 (±0.1%) |
| 47488 Ontario, Canada | 43582 (±0.4%) |  |  | 23.685 (±1.1%) | 122.30 (±0.3%) |
| 46376 Armenia | 47185 (±0.3%) |  |  | 25.789 (±0.5%) | 166.91 (±0.1%) |
| 45655 Ghana | 55194 (±1.6%) |  |  | 31.766 (±1.7%) | 183.30 (±0.5%) |
| 45072 Kyrgyzstan | 3835 (±8.8%) |  |  | 28.089 (±4.2%) | 143.30 (±2.6%) |
| 44361 Moldova | 76403 (±3.1%) |  |  | 49.039 (±1.6%) | 220.26 (±1.1%) |
| 41032 Czechia | 8659 (±0.6%) |  |  | 12.056 (±1.5%) | 91.01 (±0.2%) |
| 38855 Afghanistan | 38320 (±0.2%) |  |  | 19.356 (±0.5%) | 149.42 (±0.1%) |
| 38658 Azerbaijan | 40388 (±0.7%) |  |  | 26.045 (±1.1%) | 174.80 (±0.2%) |
| 36301 Kenya | 45037 (±1.8%) |  |  | 28.469 (±1.8%) | 204.49 (±0.4%) |
| 35073 Austria | 16147 (±0.4%) |  |  | 9.354 (±1.4%) | 85.10 (±0.2%) |
| 33006 West Bank and Gaza | 66737 (±6.0%) |  |  | 40.945 (±2.6%) | 246.01 (±1.3%) |
| 32613 Serbia | 11564 (±0.3%) |  |  | 12.672 (±0.8%) | 104.05 (±0.1%) |
| 31799 Ireland | 25423 (±0.2%) |  |  | 12.404 (±0.6%) | 101.93 (±0.1%) |
| 30419 Paraguay | 4787418022 (±149.5%) |  |  | 128.744 (±5.8%) | 792.65 (±7.7%) |
| 27163 El Salvador | 35195 (±1.9%) |  |  | 31.699 (±1.7%) | 201.54 (±0.5%) |
| 26083 Lebanon | 2150 (±5.4%) |  |  | 30.089 (±4.2%) | 124.08 (±2.6%) |
| 24936 Libya | 443624 (±12.7%) |  |  | 56.537 (±2.1%) | 343.38 (±1.7%) |
| 24211 Bosnia and Herzegovina | 81381 (±9.4%) |  |  | 55.644 (±3.0%) | 273.41 (±2.5%) |
| 22657 Korea - South | 10450 (±0.6%) |  |  | 8.044 (±2.3%) | 61.61 (±0.4%) |
| 20571 Denmark | 12338 (±0.4%) |  |  | 15.809 (±0.8%) | 97.48 (±0.2%) |
| 20303 Cameroon | 20570 (±0.5%) |  |  | 26.576 (±0.8%) | 157.46 (±0.2%) |
| 19970 Victoria, Australia | 1547 (±0.9%) |  |  | 10.141 (±3.2%) | 86.38 (±0.5%) |
| 19132 Cote d’Ivoire | 19874 (±0.9%) |  |  | 25.992 (±1.4%) | 171.69 (±0.3%) |
| 18390 Bulgaria | 29609 (±3.8%) |  |  | 42.268 (±2.3%) | 212.75 (±1.2%) |
| 16128 Alberta, Canada | 7442 (±1.4%) |  |  | 13.650 (±2.3%) | 107.84 (±0.3%) |
| 16088 North Macedonia | 1787 (±0.8%) |  |  | 12.882 (±1.2%) | 98.81 (±0.2%) |
| 15871 Madagascar | 16556 (±1.0%) |  |  | 21.145 (±1.6%) | 196.60 (±0.2%) |
| 14568 Senegal | 17306 (±0.9%) |  |  | 36.104 (±0.8%) | 178.93 (±0.3%) |
| 14460 Hungary | 4107 (±0.3%) |  |  | 15.160 (±0.6%) | 105.32 (±0.1%) |
| 14041 Greece | 2839 (±0.4%) |  |  | 12.224 (±1.0%) | 87.60 (±0.2%) |
| 14029 Croatia | 2219 (±0.4%) |  |  | 11.142 (±1.1%) | 90.35 (±0.1%) |
| 13887 Zambia | 1531 (±1.9%) |  |  | 14.978 (±3.1%) | 136.32 (±0.4%) |
| 13535 Sudan | 13142 (±0.4%) |  |  | 23.125 (±1.0%) | 152.74 (±0.2%) |
| 12683 Kosovo | 15790 (±2.5%) |  |  | 28.492 (±2.7%) | 198.61 (±0.6%) |
| 12498 Norway | 8478 (±0.3%) |  |  | 12.172 (±1.1%) | 84.90 (±0.2%) |
| 11816 Albania | 48032 (±6.1%) |  |  | 59.884 (±1.7%) | 289.86 (±1.6%) |
| 10414 Congo (Kinshasa) | 10428 (±0.2%) |  |  | 24.205 (±0.5%) | 157.80 (±0.1%) |
| 10154 Guinea | 11123 (±1.6%) |  |  | 35.531 (±1.7%) | 163.72 (±0.7%) |
| 10031 Malaysia | 9047 (±0.4%) |  |  | 19.286 (±1.4%) | 97.65 (±0.5%) |
| 9964 Namibia | 22965 (±4.5%) |  |  | 34.953 (±1.9%) | 250.06 (±0.7%) |
| 9595 French Guiana, France | 9437 (±0.4%) |  |  | 20.387 (±0.8%) | 179.37 (±0.1%) |
| 9427 Maldives | 93019 (±29.0%) |  |  | 75.975 (±5.7%) | 361.49 (±6.3%) |
| 9171 Tajikistan | 8575 (±1.0%) |  |  | 23.874 (±2.3%) | 151.23 (±0.5%) |
| 8750 Finland | 7263 (±0.1%) |  |  | 16.216 (±0.3%) | 101.49 (±0.1%) |
| 8678 Gabon | 9041 (±0.5%) |  |  | 26.656 (±0.8%) | 161.50 (±0.2%) |
| 8541 Haiti | 8131 (±0.4%) |  |  | 19.421 (±1.0%) | 158.70 (±0.2%) |
| 8100 Tunisia | 1062 (±0.3%) |  |  | 10.970 (±1.0%) | 91.85 (±0.1%) |
| 7928 Luxembourg | 3927 (±0.3%) |  |  | 9.539 (±1.1%) | 86.45 (±0.2%) |
| 7598 Zimbabwe | 896 (±5.0%) |  |  | 19.786 (±3.6%) | 162.73 (±0.8%) |
| 7498 British Columbia, Canada | 2630 (±0.7%) |  |  | 15.149 (±1.4%) | 93.32 (±0.3%) |
| 7332 Mauritania | 7066 (±0.3%) |  |  | 18.595 (±0.8%) | 170.56 (±0.1%) |
| 7291 Montenegro | 325 (±0.3%) |  |  | 8.297 (±1.3%) | 90.42 (±0.1%) |
| 5994 Mozambique | 59021 (±13.5%) |  |  | 68.425 (±2.6%) | 351.86 (±2.6%) |
| 5860 Slovakia | 1551 (±0.7%) |  |  | 12.263 (±1.8%) | 96.17 (±0.3%) |
| 5704 Malawi | 6224 (±0.7%) |  |  | 23.665 (±1.1%) | 193.09 (±0.2%) |
| 5399 Djibouti | 1136 (±1.2%) |  |  | 6.885 (±3.0%) | 104.92 (±0.2%) |
| 5266 Uganda | 1241 (±3.6%) |  |  | 22.235 (±3.4%) | 153.64 (±0.8%) |
| 5155 Eswatini | 7290 (±2.2%) |  |  | 33.246 (±1.6%) | 213.96 (±0.5%) |
| 5000 Equatorial Guinea | 6017 (±2.7%) |  |  | 31.831 (±3.0%) | 177.85 (±0.9%) |
| 4978 Cabo Verde | 8932 (±2.3%) |  |  | 45.013 (±1.1%) | 230.07 (±0.7%) |
| 4961 Nicaragua | 4980 (±0.8%) |  |  | 26.724 (±1.3%) | 173.25 (±0.3%) |
| 4934 Congo (Brazzaville) | 6190 (±2.8%) |  |  | 34.227 (±2.4%) | 197.48 (±0.8%) |
| 4876 Cuba | 2339 (±0.5%) |  |  | 16.067 (±1.4%) | 107.58 (±0.3%) |
| 4782 Central African Republic | 4779 (±0.2%) |  |  | 17.694 (±0.7%) | 160.20 (±0.1%) |
| 4645 Suriname | 7028 (±2.4%) |  |  | 31.605 (±1.6%) | 224.10 (±0.5%) |
| 4634 Rwanda | 48256 (±24.8%) |  |  | 71.476 (±4.9%) | 353.66 (±5.1%) |
| 4190 New South Wales, Australia | 3060 (±0.2%) |  |  | 7.622 (±1.0%) | 85.14 (±0.1%) |
| 4164 Jamaica | 570 (±1.3%) |  |  | 11.203 (±2.8%) | 110.43 (±0.3%) |
| 3954 Slovenia | 1477 (±0.2%) |  |  | 11.085 (±0.5%) | 84.89 (±0.1%) |
| 3852 Jordan | 1533 (±3.7%) |  |  | 31.825 (±3.3%) | 131.00 (±1.9%) |
| 3675 Angola | 7452 (±3.0%) |  |  | 39.169 (±1.3%) | 245.41 (±0.6%) |
| 3654 Syria | 470918909 (±377.8%) |  |  | 136.234 (±15.1%) | 826.62 (±20.4%) |
| 3490 Thailand | 3001 (±0.2%) |  |  | 9.314 (±0.7%) | 86.60 (±0.1%) |
| 3442 Lithuania | 1660 (±0.7%) |  |  | 12.576 (±2.0%) | 93.15 (±0.4%) |
| 3426 Guadeloupe, France | 158 (±0.5%) |  |  | 8.325 (±2.5%) | 82.82 (±0.3%) |
| 3390 Somalia | 3305 (±0.2%) |  |  | 20.045 (±0.5%) | 135.17 (±0.1%) |
| 3374 Mayotte, France | 3260 (±0.5%) |  |  | 23.788 (±1.1%) | 137.25 (±0.3%) |
| 3328 Aruba, Netherlands | 104 (±0.5%) |  |  | 8.672 (±2.6%) | 88.43 (±0.3%) |
| 3327 Trinidad and Tobago | 119 (±0.5%) |  |  | 7.597 (±2.9%) | 82.99 (±0.3%) |
| 3271 Sri Lanka | 3216 (±0.7%) |  |  | 28.262 (±1.2%) | 143.32 (±0.4%) |
| 3087 Bahamas | 4796 (±4.3%) |  |  | 27.967 (±2.6%) | 236.68 (±0.6%) |
| 3002 Reunion, France | 435 (±0.5%) |  |  | 8.012 (±1.9%) | 87.03 (±0.2%) |
| 2966 Mali | 2839 (±0.4%) |  |  | 24.760 (±0.8%) | 143.06 (±0.2%) |
| 2758 Georgia | 3044 (±13.0%) |  |  | 55.284 (±7.3%) | 200.19 (±7.0%) |
| 2756 Estonia | 1936 (±0.4%) |  |  | 13.239 (±1.4%) | 89.96 (±0.3%) |
| 2594 South Sudan | 2479 (±0.6%) |  |  | 18.620 (±1.7%) | 150.75 (±0.3%) |
| 2560 Malta | 660 (±0.7%) |  |  | 16.751 (±1.9%) | 96.56 (±0.5%) |
| 2463 Botswana | 7869 (±10.0%) |  |  | 46.191 (±3.2%) | 269.66 (±2.0%) |
| 2280 Benin | 2363 (±1.2%) |  |  | 25.078 (±2.0%) | 176.12 (±0.4%) |
| 2275 Guinea-Bissau | 1327 (±4.7%) |  |  | 10.589 (±4.2%) | 127.00 (±0.4%) |
| 2189 Iceland | 1818 (±0.1%) |  |  | 8.752 (±0.8%) | 83.73 (±0.1%) |
| 2133 Sierra Leone | 2065 (±0.4%) |  |  | 24.215 (±0.8%) | 150.30 (±0.2%) |
| 2019 Yemen | 2022 (±0.3%) |  |  | 22.707 (±0.6%) | 166.75 (±0.1%) |
| 1958 Guyana | 445255338 (±315.3%) |  |  | 147.473 (±11.8%) | 895.52 (±16.3%) |
| 1856 Uruguay | 849 (±1.0%) |  |  | 16.664 (±2.4%) | 92.78 (±0.6%) |
| 1809 New Zealand | 1515 (±0.1%) |  |  | 7.948 (±0.8%) | 89.65 (±0.1%) |
| 1784 Guangdong, China | 1352 (±0.1%) |  |  | 4.551 (±0.5%) | 31.50 (±0.1%) |
| 1751 Saskatchewan, Canada | 3094 (±8.1%) |  |  | 54.348 (±4.5%) | 205.00 (±4.0%) |
| 1748 Burkina Faso | 1467 (±2.7%) |  |  | 35.643 (±4.2%) | 120.98 (±2.1%) |
| 1608 Togo | 2619 (±4.7%) |  |  | 48.516 (±2.6%) | 211.52 (±1.9%) |
| 1548 Cyprus | 963 (±0.3%) |  |  | 11.760 (±1.2%) | 93.13 (±0.2%) |
| 1489 Manitoba, Canada | 297 (±0.6%) |  |  | 9.098 (±2.6%) | 90.60 (±0.3%) |
| 1486 Latvia | 1270 (±0.8%) |  |  | 20.232 (±2.5%) | 98.42 (±0.9%) |
| 1483 Andorra | 805 (±0.6%) |  |  | 10.434 (±2.2%) | 88.66 (±0.3%) |
| 1332 Liberia | 1436 (±1.1%) |  |  | 27.273 (±1.7%) | 164.50 (±0.4%) |
| 1327 Lesotho | 1324 (±1.2%) |  |  | 21.872 (±1.6%) | 208.29 (±0.2%) |
| 1282 Zhejiang, China | 1260 (±0.1%) |  |  | 4.541 (±1.3%) | 30.81 (±0.3%) |
| 1278 Henan, China | 1276 (±0.0%) |  |  | 4.589 (±0.3%) | 32.44 (±0.1%) |
| 1182 Niger | 1121 (±0.6%) |  |  | 17.289 (±2.4%) | 104.50 (±0.6%) |
| 1150 Queensland, Australia | 1076 (±0.2%) |  |  | 8.099 (±1.8%) | 84.08 (±0.2%) |
| 1122 Martinique, France | 191 (±0.7%) |  |  | 10.034 (±2.7%) | 85.41 (±0.4%) |
| 1099 French Polynesia, France | 61 (±0.3%) |  |  | 9.689 (±1.4%) | 84.94 (±0.2%) |
| 1090 Chad | 880 (±0.4%) |  |  | 12.115 (±1.1%) | 131.57 (±0.1%) |
| 1086 Nova Scotia, Canada | 1072 (±0.1%) |  |  | 11.501 (±0.7%) | 100.34 (±0.1%) |
| 1063 Vietnam | 329 (±0.8%) |  |  | 13.518 (±2.4%) | 82.21 (±0.6%) |
| 1019 Hunan, China | 1019 (±0.0%) |  |  | 4.483 (±0.3%) | 31.67 (±0.1%) |
| 991 Anhui, China | 992 (±0.0%) |  |  | 4.598 (±0.5%) | 33.03 (±0.1%) |
| 954 Shanghai, China | 338 (±0.2%) |  |  | 4.515 (±0.7%) | 30.37 (±0.2%) |
| 948 Heilongjiang, China | 484 (±0.2%) |  |  | 4.826 (±1.0%) | 35.45 (±0.2%) |
| 937 Jiangxi, China | 935 (±0.0%) |  |  | 4.439 (±0.5%) | 32.90 (±0.1%) |
| 935 Beijing, China | 414 (±0.4%) |  |  | 5.381 (±1.1%) | 31.17 (±0.3%) |
| 907 Sao Tome and Principe | 885 (±0.7%) |  |  | 20.367 (±1.9%) | 143.95 (±0.4%) |
| 902 Xinjiang, China | 76 (±0.2%) |  |  | 5.316 (±1.2%) | 34.59 (±0.3%) |
| 831 Shandong, China | 796 (±0.2%) |  |  | 7.204 (±1.6%) | 35.79 (±0.6%) |
| 735 San Marino | 706 (±0.2%) |  |  | 16.253 (±0.8%) | 92.88 (±0.2%) |
| 712 Diamond Princess | 712 (±0.1%) |  |  | 4.271 (±1.5%) | 44.74 (±0.2%) |
| 670 Western Australia, Australia | 617 (±0.5%) |  |  | 10.106 (±2.8%) | 86.34 (±0.4%) |
| 670 Sichuan, China | 586 (±0.4%) |  |  | 6.453 (±3.2%) | 33.18 (±1.1%) |
| 665 Jiangsu, China | 652 (±0.1%) |  |  | 5.076 (±0.9%) | 33.22 (±0.2%) |
| 659 Turks and Caicos Islands, United Kingdom | 1462 (±8.7%) |  |  | 33.433 (±4.0%) | 247.37 (±1.4%) |
| 639 Channel Islands, United Kingdom | 585 (±0.3%) |  |  | 10.186 (±2.0%) | 93.25 (±0.3%) |
| 584 Chongqing, China | 580 (±0.0%) |  |  | 4.953 (±0.4%) | 30.80 (±0.1%) |
| 557 Sint Maarten, Netherlands | 77 (±0.3%) |  |  | 8.815 (±1.3%) | 96.14 (±0.1%) |
| 500 Taiwan | 460 (±0.4%) |  |  | 10.948 (±2.0%) | 81.15 (±0.4%) |
| 472 Burundi | 510 (±1.4%) |  |  | 26.310 (±2.0%) | 182.25 (±0.4%) |
| 467 Comoros | 443 (±0.8%) |  |  | 23.263 (±1.7%) | 162.86 (±0.3%) |
| 466 South Australia, Australia | 447 (±0.2%) |  |  | 6.768 (±1.4%) | 84.00 (±0.1%) |
| 428 Faroe Islands, Denmark | 187 (±0.1%) |  |  | 6.277 (±0.9%) | 79.23 (±0.1%) |
| 392 Fujian, China | 296 (±0.2%) |  |  | 4.669 (±0.9%) | 30.36 (±0.2%) |
| 384 Shaanxi, China | 953394 (±3641.3%) |  |  | 391.513 (±254.3%) | 1963.27 (±387.6%) |
| 365 Hebei, China | 338 (±0.3%) |  |  | 5.899 (±2.5%) | 34.60 (±0.7%) |
| 365 Mauritius | 342 (±0.2%) |  |  | 7.722 (±1.7%) | 89.55 (±0.2%) |
| 364 Eritrea | 39 (±0.4%) |  |  | 6.889 (±2.0%) | 90.44 (±0.2%) |
| 340 Gibraltar, United Kingdom | 162 (±0.9%) |  |  | 10.909 (±3.5%) | 89.39 (±0.6%) |
| 339 Isle of Man, United Kingdom | 336 (±0.1%) |  |  | 9.023 (±0.8%) | 95.27 (±0.1%) |
| 330 St Martin, France | 40 (±0.5%) |  |  | 9.656 (±2.3%) | 88.79 (±0.3%) |
| 311 Mongolia | 87 (±28.2%) |  |  | 20.604 (±12.8%) | 111.79 (±7.3%) |
| 275 Cambodia | 396 (±9.2%) |  |  | 50.915 (±6.7%) | 164.51 (±6.4%) |
| 271 Newfoundland and Labrador, Canada | 263 (±0.1%) |  |  | 6.873 (±1.2%) | 87.40 (±0.1%) |
| 264 Liaoning, China | 126 (±0.5%) |  |  | 4.818 (±2.1%) | 30.11 (±0.5%) |
| 261 Inner Mongolia, China | 259 (±0.7%) |  |  | 23.984 (±1.8%) | 76.31 (±1.1%) |
| 258 Guangxi, China | 254 (±0.0%) |  |  | 5.289 (±0.4%) | 31.46 (±0.1%) |
| 246 Bhutan | 3940 (±55.2%) |  |  | 84.266 (±9.3%) | 403.11 (±11.0%) |
| 234 Tianjin, China | 138 (±0.4%) |  |  | 5.603 (±1.3%) | 32.98 (±0.3%) |
| 231 Tasmania, Australia | 230 (±0.2%) |  |  | 11.008 (±1.2%) | 94.07 (±0.2%) |
| 208 Cayman Islands, United Kingdom | 211 (±0.6%) |  |  | 22.298 (±1.7%) | 121.52 (±0.5%) |
| 206 Yunnan, China | 1659 (±861.1%) |  |  | 352.914 (±246.1%) | 995.28 (±519.5%) |
| 194 New Brunswick, Canada | 119 (±0.6%) |  |  | 7.038 (±2.1%) | 86.83 (±0.2%) |
| 192 Curacao, Netherlands | 16 (±1.2%) |  |  | 9.179 (±3.2%) | 84.39 (±0.4%) |
| 185 Barbados | 91 (±0.7%) |  |  | 10.968 (±2.6%) | 89.81 (±0.4%) |
| 181 Monaco | 97 (±0.3%) |  |  | 8.468 (±1.3%) | 86.43 (±0.2%) |
| 178 Bermuda, United Kingdom | 158 (±0.6%) |  |  | 17.608 (±2.3%) | 102.97 (±0.6%) |
| 171 Hainan, China | 170 (±0.1%) |  |  | 5.165 (±0.9%) | 31.81 (±0.2%) |
| 170 Gansu, China | 92 (±0.7%) |  |  | 4.434 (±2.2%) | 31.01 (±0.4%) |
| 157 Jilin, China | 93 (±0.5%) |  |  | 4.141 (±2.0%) | 33.81 (±0.3%) |
| 147 Guizhou, China | 147 (±0.1%) |  |  | 4.472 (±1.0%) | 34.71 (±0.2%) |
| 145 Brunei | 141 (±0.1%) |  |  | 7.266 (±1.2%) | 76.36 (±0.1%) |
| 140 Seychelles | 11 (±0.5%) |  |  | 7.817 (±2.8%) | 77.73 (±0.3%) |
| 113 Australian Capital Territory, Australia | 110 (±0.2%) |  |  | 6.774 (±2.0%) | 84.61 (±0.2%) |
| 111 Liechtenstein | 93 (±1.3%) |  |  | 7.667 (±311568085.5%) | 80.87 (±785389897.6%) |
| 95 Antigua and Barbuda | 126 (±5.4%) |  |  | 39.064 (±5.1%) | 168.16 (±2.6%) |
| 75 Ningxia, China | 75 (±0.1%) |  |  | 5.648 (±0.8%) | 33.46 (±0.2%) |
| 66 British Virgin Islands, United Kingdom | 556023 (±826.0%) |  |  | 98.072 (±45.0%) | 600.70 (±54.3%) |
| 64 Saint Vincent and the Grenadines | 89 (±5.0%) |  |  | 44.360 (±3.9%) | 177.60 (±2.5%) |
| 57 Prince Edward Island, Canada | 151 (±62.0%) |  |  | 92.120 (±25.0%) | 275.52 (±39.2%) |
| 46 Macau, China | 46 (±0.7%) |  |  | 14.440 (±3.2%) | 69.28 (±1.2%) |
| 33 Northern Territory, Australia | 31 (±0.5%) |  |  | 7.528 (±3.6%) | 86.57 (±0.4%) |
| 32 Fiji | 35 (±6.5%) |  |  | 45.641 (±8.6%) | 111.99 (±6.1%) |
| 28 Bonaire - Sint Eustatius and Saba, Netherlands | 1028679 (±1142.4%) |  |  | 219.923 (±51.8%) | 1242.22 (±75.4%) |
| 27 Saint Lucia | 25 (±1.7%) |  |  | 28.293 (±4.7%) | 92.55 (±2.3%) |
| 26 New Caledonia, France | 21 (±0.9%) |  |  | 7.913 (±7.5%) | 82.85 (±0.8%) |
| 24 Grenada | 24 (±0.4%) |  |  | 14.909 (±2.0%) | 93.11 (±0.5%) |
| 23 Laos | 20 (±0.5%) |  |  | 8.508 (±4.1%) | 89.45 (±0.5%) |
| 18 Qinghai, China | 18 (±0.1%) |  |  | 3.607 (±1.7%) | 29.22 (±0.3%) |
Länder/Orte in dieser Liste müssen Bedingungen im Datensatz haben: Anzahl Infizierter muß mindestens 13 betragen und weiterhin mindestens 7 subsequent steigende Zahlen vorliegen. Bei Erstaufnahme wird der Wendepunkt geraten, wobei die x über die Hälfte vom Maximalwert gesucht wird und den ersten darüber nimmt. Ist der Wendepunkt dann am letzten Wert, wird dieser Datensatz übersprungen.
Ausgelassene Länder/Orte können in dieser Liste gefunden werden.