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.
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Aktualisierungsdatum: Do 9. Jul 06:23:34 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) |
| 2996098 US | 3090375 (±2.3%) |  |  | 25.718 (±2.3%) | 127.04 (±0.9%) |
| 1668589 Brazil | 4160451 (±1.9%) |  |  | 31.711 (±0.7%) | 185.26 (±0.4%) |
| 742417 India | 5105757 (±4.8%) |  |  | 41.807 (±1.1%) | 229.45 (±0.9%) |
| 693215 Russia | 776011 (±0.7%) |  |  | 21.959 (±0.8%) | 139.84 (±0.2%) |
| 309278 Peru | 386619 (±0.7%) |  |  | 23.451 (±0.6%) | 148.41 (±0.2%) |
| 301019 Chile | 517931 (±4.5%) |  |  | 25.487 (±2.6%) | 167.45 (±0.9%) |
| 286349 United Kingdom | 283467 (±0.2%) |  |  | 16.886 (±0.5%) | 105.96 (±0.1%) |
| 268008 Mexico | 655417 (±1.4%) |  |  | 32.900 (±0.5%) | 184.41 (±0.3%) |
| 252130 Spain | 241079 (±0.3%) |  |  | 11.889 (±1.0%) | 90.60 (±0.2%) |
| 245688 Iran | 31148 (±4.4%) |  |  | 9.026 (±2.7%) | 72.89 (±0.7%) |
| 241956 Italy | 236862 (±0.2%) |  |  | 13.992 (±0.6%) | 88.41 (±0.1%) |
| 237489 Pakistan | 531503 (±5.8%) |  |  | 30.396 (±2.5%) | 178.27 (±1.3%) |
| 217108 Saudi Arabia | 452023 (±3.6%) |  |  | 32.388 (±1.6%) | 175.77 (±0.9%) |
| 215855 South Africa | 170410911 (±19.5%) |  |  | 67.076 (±1.4%) | 392.73 (±1.7%) |
| 207897 Turkey | 190328 (±0.9%) |  |  | 16.656 (±2.1%) | 107.87 (±0.4%) |
| 198343 Germany | 186772 (±0.3%) |  |  | 12.579 (±1.2%) | 90.86 (±0.2%) |
| 197089 France | 188345 (±0.3%) |  |  | 11.938 (±1.2%) | 94.62 (±0.2%) |
| 168645 Bangladesh | 405995 (±1.6%) |  |  | 30.256 (±0.6%) | 183.24 (±0.3%) |
| 120281 Colombia | 4451824 (±16.6%) |  |  | 55.022 (±2.2%) | 299.71 (±2.3%) |
| 108023 Canada, Canada | 108272 (±0.2%) |  |  | 18.094 (±0.4%) | 112.73 (±0.1%) |
| 100945 Qatar | 121601 (±0.7%) |  |  | 22.050 (±0.7%) | 144.85 (±0.2%) |
| 84917 China total, China total | 83423 (±0.2%) |  |  | 5.893 (±1.3%) | 37.08 (±0.3%) |
| 83426 Argentina | 22590693 (±30.9%) |  |  | 65.967 (±2.7%) | 372.42 (±3.2%) |
| 77279 Egypt | 182769 (±3.6%) |  |  | 31.221 (±1.5%) | 181.38 (±0.8%) |
| 73344 Sweden | 122821 (±4.1%) |  |  | 33.916 (±2.2%) | 157.41 (±1.5%) |
| 68135 Hubei, China | 68094 (±0.2%) |  |  | 5.534 (±1.3%) | 37.92 (±0.3%) |
| 66226 Indonesia | 215940 (±6.0%) |  |  | 40.685 (±1.9%) | 200.09 (±1.6%) |
| 64701 Iraq | 2095083029 (±243.2%) |  |  | 81.657 (±11.2%) | 500.07 (±14.3%) |
| 64003 Belarus | 70553 (±0.4%) |  |  | 20.683 (±0.4%) | 134.51 (±0.1%) |
| 63245 Ecuador | 61396 (±2.6%) |  |  | 22.270 (±3.2%) | 124.02 (±0.9%) |
| 62058 Belgium | 60188 (±0.2%) |  |  | 13.720 (±0.6%) | 98.20 (±0.1%) |
| 55997 Quebec, Canada | 57160 (±0.3%) |  |  | 17.283 (±0.6%) | 112.90 (±0.1%) |
| 52600 United Arab Emirates | 57629 (±0.5%) |  |  | 22.322 (±0.6%) | 134.17 (±0.2%) |
| 51245 Kuwait | 58072 (±1.3%) |  |  | 21.447 (±1.2%) | 146.55 (±0.3%) |
| 51059 Kazakhstan | 701006688 (±790.8%) |  |  | 87.648 (±39.4%) | 521.69 (±51.2%) |
| 50694 Netherlands | 48696 (±0.3%) |  |  | 14.210 (±1.0%) | 96.44 (±0.2%) |
| 50622 Ukraine | 85342 (±5.4%) |  |  | 32.460 (±2.8%) | 162.64 (±1.7%) |
| 48997 Oman | 172734 (±5.2%) |  |  | 33.634 (±1.6%) | 199.06 (±1.0%) |
| 47873 Philippines | 245116 (±16.0%) |  |  | 48.766 (±3.9%) | 231.08 (±3.9%) |
| 45140 Singapore | 45428 (±0.6%) |  |  | 18.062 (±1.0%) | 123.11 (±0.2%) |
| 44416 Portugal | 40820 (±1.5%) |  |  | 19.809 (±2.7%) | 105.33 (±0.8%) |
| 41545 Bolivia | 153161 (±2.8%) |  |  | 33.865 (±0.8%) | 201.13 (±0.5%) |
| 40291 Panama | 1222511 (±43.5%) |  |  | 63.989 (±6.1%) | 321.26 (±7.2%) |
| 38430 Dominican Republic | 84235 (±6.8%) |  |  | 37.141 (±2.8%) | 179.15 (±2.1%) |
| 37917 Ontario, Canada | 38533 (±0.6%) |  |  | 20.094 (±1.0%) | 117.17 (±0.3%) |
| 36412 Poland | 42161 (±1.5%) |  |  | 25.807 (±1.5%) | 129.94 (±0.6%) |
| 33384 Afghanistan | 40717 (±1.3%) |  |  | 20.387 (±1.2%) | 151.07 (±0.3%) |
| 32369 Switzerland | 30988 (±0.2%) |  |  | 10.446 (±0.8%) | 85.97 (±0.1%) |
| 32222 Israel | 22177 (±2.5%) |  |  | 18.527 (±5.2%) | 99.59 (±1.5%) |
| 30321 Bahrain | 72566 (±2.0%) |  |  | 33.851 (±0.8%) | 181.89 (±0.5%) |
| 29789 Nigeria | 77766 (±4.0%) |  |  | 33.551 (±1.5%) | 186.87 (±0.9%) |
| 29620 Romania | 28664 (±1.9%) |  |  | 22.999 (±2.4%) | 118.99 (±0.8%) |
| 29285 Armenia | 79402 (±4.3%) |  |  | 33.157 (±1.6%) | 187.72 (±1.0%) |
| 25538 Ireland | 25398 (±0.2%) |  |  | 12.382 (±0.6%) | 101.92 (±0.1%) |
| 25428 Honduras | 37460139 (±76.7%) |  |  | 74.737 (±5.2%) | 432.70 (±6.4%) |
| 24787 Guatemala | 154521 (±10.2%) |  |  | 37.881 (±2.4%) | 221.40 (±1.7%) |
| 21968 Ghana | 53598 (±9.9%) |  |  | 36.015 (±3.7%) | 187.26 (±2.6%) |
| 21374 Azerbaijan | 959168 (±25.0%) |  |  | 59.462 (±3.2%) | 316.68 (±3.5%) |
| 20055 Japan | 17780 (±0.5%) |  |  | 13.172 (±1.5%) | 100.99 (±0.3%) |
| 18421 Austria | 16739 (±0.5%) |  |  | 10.127 (±2.0%) | 85.54 (±0.3%) |
| 18141 Moldova | 42661 (±6.9%) |  |  | 37.200 (±2.8%) | 179.42 (±2.1%) |
| 16879 Algeria | 19118 (±3.0%) |  |  | 27.673 (±2.4%) | 140.03 (±1.1%) |
| 16719 Serbia | 13543 (±1.3%) |  |  | 16.589 (±3.1%) | 107.55 (±0.6%) |
| 16168 Nepal | 28237 (±1.6%) |  |  | 20.474 (±0.9%) | 175.55 (±0.2%) |
| 14916 Cameroon | 23508 (±5.5%) |  |  | 29.074 (±3.1%) | 163.25 (±1.5%) |
| 14607 Morocco | 15826 (±5.2%) |  |  | 27.819 (±4.3%) | 135.43 (±2.0%) |
| 13244 Korea - South | 11456 (±0.7%) |  |  | 10.058 (±3.1%) | 63.00 (±0.8%) |
| 12888 Denmark | 12492 (±0.3%) |  |  | 16.116 (±0.9%) | 97.82 (±0.2%) |
| 12685 Czechia | 10693 (±1.4%) |  |  | 17.486 (±3.2%) | 96.42 (±0.9%) |
| 11194 Cote d’Ivoire | 69081125 (±225.3%) |  |  | 94.846 (±12.7%) | 542.70 (±16.9%) |
| 10838 Uzbekistan | 1112142 (±129.7%) |  |  | 78.126 (±13.7%) | 399.85 (±17.5%) |
| 9997 Sudan | 11454 (±0.7%) |  |  | 19.526 (±0.8%) | 148.23 (±0.1%) |
| 8947 Norway | 8548 (±0.3%) |  |  | 12.366 (±1.1%) | 85.05 (±0.2%) |
| 8674 Malaysia | 8462 (±0.7%) |  |  | 17.176 (±1.6%) | 95.16 (±0.4%) |
| 8436 Alberta, Canada | 7787 (±0.7%) |  |  | 14.804 (±1.8%) | 108.64 (±0.3%) |
| 8307 El Salvador | 60321 (±19.2%) |  |  | 44.202 (±4.1%) | 235.51 (±3.7%) |
| 8279 Kyrgyzstan | 193157097 (±530.1%) |  |  | 94.033 (±25.0%) | 558.66 (±33.1%) |
| 8250 Kenya | 92806 (±11.5%) |  |  | 45.139 (±2.1%) | 248.29 (±1.9%) |
| 7693 Venezuela | 267634 (±35.2%) |  |  | 52.636 (±4.7%) | 292.19 (±4.8%) |
| 7547 Senegal | 10723 (±1.8%) |  |  | 27.239 (±1.2%) | 154.69 (±0.5%) |
| 7432 Congo (Kinshasa) | 12159 (±2.2%) |  |  | 26.387 (±1.3%) | 163.26 (±0.5%) |
| 7262 Finland | 7262 (±0.1%) |  |  | 16.212 (±0.3%) | 101.48 (±0.1%) |
| 7244 North Macedonia | 1210522 (±124.1%) |  |  | 80.044 (±12.1%) | 415.71 (±15.5%) |
| 6432 Haiti | 7090 (±0.8%) |  |  | 16.050 (±1.0%) | 155.58 (±0.1%) |
| 6315 Tajikistan | 6135 (±0.9%) |  |  | 14.440 (±1.7%) | 142.10 (±0.2%) |
| 6102 Bulgaria | 25274 (±28.5%) |  |  | 49.768 (±7.8%) | 222.51 (±8.2%) |
| 5846 Ethiopia | 7673 (±2.5%) |  |  | 17.236 (±2.3%) | 162.89 (±0.3%) |
| 5743 Gabon | 7623 (±2.3%) |  |  | 22.955 (±1.8%) | 154.74 (±0.5%) |
| 5636 Guinea | 6129 (±0.8%) |  |  | 21.446 (±1.0%) | 133.24 (±0.2%) |
| 5621 Bosnia and Herzegovina | 8840 (±16.4%) |  |  | 38.702 (±8.0%) | 163.25 (±6.6%) |
| 5486 Costa Rica | 266637433 (±786.7%) |  |  | 108.546 (±33.9%) | 641.69 (±46.7%) |
| 5178 French Guiana, France | 127786262 (±307.1%) |  |  | 74.655 (±14.6%) | 463.41 (±18.1%) |
| 5024 Mauritania | 7974 (±3.9%) |  |  | 19.064 (±2.4%) | 172.91 (±0.5%) |
| 4878 Djibouti | 1191 (±1.3%) |  |  | 7.544 (±3.4%) | 105.16 (±0.2%) |
| 4647 West Bank and Gaza | 193333626 (±992.8%) |  |  | 62.570 (±43.8%) | 411.46 (±50.6%) |
| 4603 Luxembourg | 4050 (±0.4%) |  |  | 10.159 (±1.9%) | 86.85 (±0.3%) |
| 4205 Hungary | 4141 (±0.2%) |  |  | 15.354 (±0.6%) | 105.51 (±0.1%) |
| 4071 Central African Republic | 6028 (±1.9%) |  |  | 21.553 (±1.3%) | 166.08 (±0.3%) |
| 3703 Kosovo | 16192204 (±758.5%) |  |  | 110.979 (±44.1%) | 616.93 (±60.7%) |
| 3589 Greece | 3150 (±0.8%) |  |  | 14.768 (±2.2%) | 89.87 (±0.5%) |
| 3472 Madagascar | 267363 (±93.0%) |  |  | 60.984 (±10.2%) | 335.45 (±11.4%) |
| 3440 New South Wales, Australia | 3112 (±0.3%) |  |  | 7.895 (±1.7%) | 85.26 (±0.2%) |
| 3272 Croatia | 2408 (±1.1%) |  |  | 12.741 (±3.8%) | 92.09 (±0.7%) |
| 3197 Thailand | 3086 (±0.2%) |  |  | 9.832 (±0.9%) | 86.92 (±0.1%) |
| 3071 Equatorial Guinea | 13199 (±43.9%) |  |  | 42.828 (±11.7%) | 216.86 (±10.1%) |
| 3038 Albania | 1003342 (±224.4%) |  |  | 95.423 (±19.4%) | 493.52 (±26.1%) |
| 3015 Somalia | 3276 (±0.8%) |  |  | 19.732 (±1.0%) | 134.88 (±0.2%) |
| 2990 British Columbia, Canada | 2808 (±0.6%) |  |  | 16.654 (±1.4%) | 95.23 (±0.4%) |
| 2688 Mayotte, France | 2926 (±0.9%) |  |  | 20.437 (±1.2%) | 133.29 (±0.3%) |
| 2502 Paraguay | 302 (±3.1%) |  |  | 13.522 (±2.7%) | 97.62 (±0.6%) |
| 2501 Maldives | 2535 (±0.8%) |  |  | 17.910 (±1.2%) | 134.62 (±0.2%) |
| 2395 Cuba | 2293 (±0.6%) |  |  | 15.534 (±1.4%) | 107.07 (±0.3%) |
| 2348 Mali | 3080 (±1.8%) |  |  | 26.025 (±1.4%) | 146.38 (±0.5%) |
| 2081 Sri Lanka | 2405 (±1.7%) |  |  | 21.963 (±2.1%) | 130.83 (±0.5%) |
| 2021 South Sudan | 2190 (±1.8%) |  |  | 15.165 (±2.9%) | 148.07 (±0.3%) |
| 1995 Estonia | 1918 (±0.4%) |  |  | 12.987 (±1.4%) | 89.76 (±0.3%) |
| 1907 Lebanon | 2495 (±5.3%) |  |  | 32.853 (±3.8%) | 132.92 (±2.6%) |
| 1895 Zambia | 1684 (±1.9%) |  |  | 16.898 (±3.0%) | 138.32 (±0.4%) |
| 1873 Iceland | 1820 (±0.2%) |  |  | 8.769 (±0.9%) | 83.74 (±0.1%) |
| 1844 Lithuania | 1728 (±0.7%) |  |  | 13.610 (±2.1%) | 93.99 (±0.4%) |
| 1818 Malawi | 508173 (±132.9%) |  |  | 58.840 (±11.6%) | 346.93 (±12.7%) |
| 1790 Guinea-Bissau | 1643 (±1.0%) |  |  | 14.603 (±2.3%) | 130.17 (±0.3%) |
| 1767 Slovakia | 1595 (±0.6%) |  |  | 12.896 (±1.9%) | 96.61 (±0.3%) |
| 1739 Slovenia | 1516 (±0.4%) |  |  | 11.617 (±1.6%) | 85.31 (±0.3%) |
| 1645 Guangdong, China | 1354 (±0.1%) |  |  | 4.561 (±0.5%) | 31.51 (±0.1%) |
| 1572 Sierra Leone | 1785 (±1.1%) |  |  | 20.785 (±1.1%) | 145.11 (±0.2%) |
| 1557 Congo (Brazzaville) | 12872 (±40.4%) |  |  | 51.237 (±8.4%) | 251.46 (±8.6%) |
| 1537 New Zealand | 1506 (±0.1%) |  |  | 7.850 (±0.6%) | 89.59 (±0.1%) |
| 1499 Cabo Verde | 16582 (±29.1%) |  |  | 49.878 (±5.5%) | 257.51 (±5.4%) |
| 1297 Yemen | 1846 (±3.3%) |  |  | 21.200 (±2.4%) | 164.10 (±0.6%) |
| 1276 Henan, China | 1276 (±0.0%) |  |  | 4.589 (±0.4%) | 32.44 (±0.1%) |
| 1269 Zhejiang, China | 1253 (±0.2%) |  |  | 4.486 (±1.4%) | 30.77 (±0.3%) |
| 1205 Tunisia | 1107 (±0.5%) |  |  | 11.885 (±1.7%) | 92.53 (±0.3%) |
| 1199 Benin | 24150083 (±725.0%) |  |  | 91.441 (±35.8%) | 541.12 (±47.0%) |
| 1182 Libya | 10071397 (±298.8%) |  |  | 81.932 (±16.0%) | 487.60 (±20.3%) |
| 1172 Rwanda | 161 (±1.7%) |  |  | 10.026 (±2.5%) | 88.35 (±0.3%) |
| 1169 Jordan | 1581 (±5.7%) |  |  | 32.454 (±4.3%) | 132.88 (±2.7%) |
| 1134 Latvia | 1099 (±0.5%) |  |  | 15.131 (±1.4%) | 93.55 (±0.3%) |
| 1094 Niger | 1010 (±0.9%) |  |  | 13.719 (±2.9%) | 101.78 (±0.5%) |
| 1068 Queensland, Australia | 1054 (±0.1%) |  |  | 7.718 (±0.9%) | 83.97 (±0.1%) |
| 1065 Nova Scotia, Canada | 1068 (±0.2%) |  |  | 11.422 (±0.9%) | 100.29 (±0.1%) |
| 1056 Eswatini | 13552 (±33.4%) |  |  | 50.561 (±5.9%) | 263.86 (±5.9%) |
| 1040 Mozambique | 2481 (±8.2%) |  |  | 30.306 (±3.3%) | 182.78 (±1.7%) |
| 1019 Hunan, China | 1020 (±0.0%) |  |  | 4.484 (±0.4%) | 31.67 (±0.1%) |
| 1005 Cyprus | 965 (±0.3%) |  |  | 11.800 (±1.2%) | 93.16 (±0.2%) |
| 1003 Burkina Faso | 920 (±0.7%) |  |  | 16.128 (±1.9%) | 97.17 (±0.5%) |
| 991 Anhui, China | 992 (±0.1%) |  |  | 4.601 (±0.6%) | 33.03 (±0.1%) |
| 971 Uganda | 1240 (±4.9%) |  |  | 22.229 (±4.1%) | 153.63 (±1.1%) |
| 965 Uruguay | 900 (±1.0%) |  |  | 18.378 (±2.5%) | 94.51 (±0.7%) |
| 958 Georgia | 937 (±0.6%) |  |  | 18.984 (±1.2%) | 108.75 (±0.3%) |
| 947 Heilongjiang, China | 485 (±0.2%) |  |  | 4.830 (±0.9%) | 35.46 (±0.2%) |
| 937 Jiangxi, China | 937 (±0.1%) |  |  | 4.447 (±0.6%) | 32.91 (±0.1%) |
| 929 Beijing, China | 418 (±0.4%) |  |  | 5.465 (±1.3%) | 31.24 (±0.4%) |
| 917 Liberia | 20109 (±53.5%) |  |  | 59.620 (±8.2%) | 299.53 (±9.3%) |
| 907 Montenegro | 5725 (±323.0%) |  |  | 80.616 (±69.4%) | 319.69 (±98.6%) |
| 873 Chad | 880 (±0.4%) |  |  | 12.120 (±1.1%) | 131.57 (±0.1%) |
| 855 Andorra | 812 (±0.5%) |  |  | 10.639 (±2.2%) | 88.79 (±0.3%) |
| 806 Saskatchewan, Canada | 786 (±1.4%) |  |  | 20.402 (±2.4%) | 106.55 (±0.7%) |
| 792 Shandong, China | 785 (±0.2%) |  |  | 7.036 (±1.5%) | 35.60 (±0.5%) |
| 787 Zimbabwe | 1101 (±6.1%) |  |  | 22.343 (±3.8%) | 168.04 (±1.0%) |
| 745 Jamaica | 666 (±1.0%) |  |  | 15.021 (±2.6%) | 112.68 (±0.4%) |
| 724 Sao Tome and Principe | 797 (±2.4%) |  |  | 17.374 (±3.5%) | 140.98 (±0.5%) |
| 718 Shanghai, China | 339 (±0.2%) |  |  | 4.551 (±0.8%) | 30.40 (±0.2%) |
| 712 Diamond Princess | 712 (±0.2%) |  |  | 4.272 (±1.8%) | 44.74 (±0.2%) |
| 698 San Marino | 707 (±0.4%) |  |  | 16.247 (±1.0%) | 92.88 (±0.3%) |
| 689 Togo | 809 (±2.7%) |  |  | 23.702 (±2.6%) | 139.50 (±0.8%) |
| 673 Malta | 656 (±0.8%) |  |  | 16.587 (±2.0%) | 96.38 (±0.5%) |
| 654 Jiangsu, China | 648 (±0.1%) |  |  | 5.023 (±0.9%) | 33.17 (±0.2%) |
| 634 Suriname | 1134 (±6.1%) |  |  | 20.377 (±3.2%) | 177.80 (±0.8%) |
| 624 Western Australia, Australia | 581 (±0.4%) |  |  | 8.692 (±2.0%) | 85.68 (±0.2%) |
| 598 Sichuan, China | 563 (±0.2%) |  |  | 5.938 (±1.7%) | 32.75 (±0.5%) |
| 582 Chongqing, China | 579 (±0.1%) |  |  | 4.932 (±0.5%) | 30.78 (±0.1%) |
| 577 Channel Islands, United Kingdom | 562 (±0.2%) |  |  | 9.356 (±0.9%) | 92.82 (±0.1%) |
| 551 Reunion, France | 474 (±0.8%) |  |  | 9.899 (±3.6%) | 87.89 (±0.5%) |
| 539 Namibia | 3690877 (±462.7%) |  |  | 44.772 (±25.1%) | 320.56 (±23.7%) |
| 509 Tanzania | 513 (±0.6%) |  |  | 8.412 (±2.7%) | 110.18 (±0.2%) |
| 449 Taiwan | 74 (±7.0%) |  |  | 13.792 (±5.0%) | 52.39 (±3.7%) |
| 443 South Australia, Australia | 440 (±0.1%) |  |  | 6.543 (±0.9%) | 83.91 (±0.1%) |
| 386 Angola | 12250962 (±302.9%) |  |  | 97.258 (±13.9%) | 577.82 (±18.6%) |
| 372 Syria | 204227 (±167.7%) |  |  | 83.280 (±13.2%) | 453.77 (±16.9%) |
| 369 Vietnam | 332 (±0.8%) |  |  | 13.831 (±2.4%) | 82.40 (±0.6%) |
| 363 Fujian, China | 296 (±0.2%) |  |  | 4.669 (±0.9%) | 30.36 (±0.2%) |
| 349 Hebei, China | 329 (±0.2%) |  |  | 5.614 (±1.6%) | 34.34 (±0.4%) |
| 342 Mauritius | 337 (±0.3%) |  |  | 7.516 (±1.6%) | 89.43 (±0.1%) |
| 336 Isle of Man, United Kingdom | 335 (±0.2%) |  |  | 8.994 (±1.0%) | 95.25 (±0.1%) |
| 325 Manitoba, Canada | 299 (±0.6%) |  |  | 9.239 (±2.7%) | 90.65 (±0.3%) |
| 321 Shaanxi, China | 285 (±0.8%) |  |  | 6.552 (±5.4%) | 32.65 (±2.0%) |
| 316 Burma | 314 (±2.3%) |  |  | 21.256 (±3.6%) | 117.30 (±0.9%) |
| 314 Botswana | 4544005 (±920.0%) |  |  | 68.142 (±45.9%) | 429.06 (±54.6%) |
| 311 Comoros | 415 (±5.0%) |  |  | 20.323 (±4.1%) | 160.22 (±0.9%) |
| 284 Guyana | 426 (±9.9%) |  |  | 35.235 (±5.5%) | 155.39 (±3.8%) |
| 261 Newfoundland and Labrador, Canada | 260 (±0.2%) |  |  | 6.702 (±1.1%) | 87.32 (±0.1%) |
| 254 Guangxi, China | 254 (±0.1%) |  |  | 5.271 (±0.4%) | 31.44 (±0.1%) |
| 249 Martinique, France | 211 (±1.2%) |  |  | 12.925 (±4.1%) | 87.04 (±0.9%) |
| 244 Inner Mongolia, China | 76 (±0.4%) |  |  | 5.386 (±1.4%) | 32.62 (±0.4%) |
| 228 Tasmania, Australia | 231 (±0.4%) |  |  | 11.057 (±1.6%) | 94.11 (±0.2%) |
| 227 Mongolia | 238 (±2.5%) |  |  | 17.576 (±4.1%) | 132.90 (±0.6%) |
| 215 Eritrea | 9177345 (±1133.3%) |  |  | 104.836 (±51.1%) | 617.80 (±69.6%) |
| 201 Cayman Islands, United Kingdom | 256 (±3.4%) |  |  | 26.594 (±3.2%) | 130.19 (±1.3%) |
| 199 Tianjin, China | 137 (±0.4%) |  |  | 5.585 (±1.2%) | 32.97 (±0.3%) |
| 199 Shanxi, China | 134 (±0.3%) |  |  | 4.347 (±1.3%) | 31.55 (±0.3%) |
| 191 Burundi | 872 (±23.4%) |  |  | 37.415 (±6.5%) | 208.63 (±4.7%) |
| 188 Faroe Islands, Denmark | 187 (±0.1%) |  |  | 6.276 (±0.9%) | 79.23 (±0.1%) |
| 187 Yunnan, China | 182 (±0.2%) |  |  | 4.972 (±1.8%) | 30.30 (±0.5%) |
| 184 Guadeloupe, France | 163 (±0.7%) |  |  | 9.009 (±3.5%) | 83.17 (±0.5%) |
| 179 Gibraltar, United Kingdom | 165 (±0.9%) |  |  | 11.440 (±3.4%) | 89.66 (±0.6%) |
| 171 Hainan, China | 169 (±0.1%) |  |  | 5.137 (±1.1%) | 31.78 (±0.3%) |
| 167 Gansu, China | 144 (±0.8%) |  |  | 11.417 (±3.5%) | 37.22 (±2.2%) |
| 165 New Brunswick, Canada | 141 (±1.4%) |  |  | 11.186 (±5.7%) | 88.19 (±1.0%) |
| 159 Liaoning, China | 124 (±0.3%) |  |  | 4.697 (±1.3%) | 30.00 (±0.3%) |
| 155 Jilin, China | 168 (±3.8%) |  |  | 28.856 (±7.1%) | 46.47 (±8.3%) |
| 148 Bermuda, United Kingdom | 144 (±0.6%) |  |  | 14.309 (±1.7%) | 100.66 (±0.3%) |
| 147 Guizhou, China | 147 (±0.1%) |  |  | 4.471 (±1.2%) | 34.71 (±0.2%) |
| 141 Cambodia | 126 (±0.5%) |  |  | 6.533 (±3.0%) | 79.37 (±0.3%) |
| 141 Brunei | 140 (±0.2%) |  |  | 7.162 (±1.2%) | 76.30 (±0.1%) |
| 133 Trinidad and Tobago | 119 (±0.5%) |  |  | 7.574 (±2.8%) | 82.98 (±0.3%) |
| 111 Australian Capital Territory, Australia | 107 (±0.2%) |  |  | 6.385 (±1.3%) | 84.44 (±0.1%) |
| 108 Monaco | 99 (±0.3%) |  |  | 8.739 (±1.7%) | 86.59 (±0.2%) |
| 105 Aruba, Netherlands | 101 (±0.3%) |  |  | 8.312 (±1.3%) | 88.22 (±0.1%) |
| 104 Bahamas | 104 (±0.3%) |  |  | 13.544 (±0.8%) | 100.41 (±0.2%) |
| 98 Barbados | 93 (±0.6%) |  |  | 11.476 (±2.5%) | 90.07 (±0.4%) |
| 91 Lesotho | 43520 (±635.7%) |  |  | 33.404 (±49.8%) | 262.85 (±35.6%) |
| 86 Liechtenstein | 82 (±0.3%) |  |  | 7.187 (±1.7%) | 80.38 (±0.2%) |
| 80 Bhutan | 93 (±3.2%) |  |  | 19.362 (±3.5%) | 147.99 (±0.6%) |
| 78 Sint Maarten, Netherlands | 77 (±0.3%) |  |  | 8.812 (±1.3%) | 96.14 (±0.1%) |
| 76 Xinjiang, China | 76 (±0.2%) |  |  | 5.316 (±1.2%) | 34.59 (±0.3%) |
| 75 Ningxia, China | 75 (±0.1%) |  |  | 5.647 (±1.0%) | 33.46 (±0.3%) |
| 70 Antigua and Barbuda | 101367 (±1447.6%) |  |  | 124.328 (±99.7%) | 655.88 (±140.9%) |
| 62 French Polynesia, France | 60 (±0.3%) |  |  | 9.553 (±1.4%) | 84.85 (±0.2%) |
| 61 Gambia | 460 (±65.2%) |  |  | 58.221 (±14.0%) | 263.19 (±16.2%) |
| 46 Macau, China | 45 (±0.4%) |  |  | 8.346 (±2.2%) | 77.86 (±0.3%) |
| 43 St Martin, France | 41 (±0.5%) |  |  | 9.843 (±2.3%) | 88.87 (±0.3%) |
| 32 Prince Edward Island, Canada | 27 (±0.5%) |  |  | 6.337 (±3.3%) | 87.16 (±0.2%) |
| 30 Northern Territory, Australia | 29 (±0.3%) |  |  | 6.766 (±2.0%) | 86.26 (±0.2%) |
| 30 Belize | 21 (±1.8%) |  |  | 9.121 (±8.6%) | 96.87 (±0.9%) |
| 24 Timor-Leste | 24 (±0.3%) |  |  | 4.366 (±3.1%) | 105.48 (±0.1%) |
| 23 Grenada | 23 (±0.8%) |  |  | 14.416 (±2.9%) | 92.85 (±0.6%) |
| 23 Curacao, Netherlands | 23 (±2.3%) |  |  | 21.069 (±5.1%) | 91.17 (±1.5%) |
| 21 New Caledonia, France | 19 (±0.7%) |  |  | 5.452 (±5.7%) | 82.58 (±0.4%) |
| 21 Fiji | 18 (±0.6%) |  |  | 8.353 (±3.0%) | 89.99 (±0.3%) |
| 19 Laos | 19 (±0.4%) |  |  | 7.902 (±2.5%) | 89.10 (±0.2%) |
| 18 Qinghai, China | 18 (±0.2%) |  |  | 3.610 (±2.0%) | 29.23 (±0.4%) |
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.