From: Factors shaping the COVID-19 epidemic curve: a multi-country analysis
Mean | SD | Min | Percentiles | Max | ||||
---|---|---|---|---|---|---|---|---|
25% | 50% | 75% | 95% | |||||
Countries | ||||||||
India | 58.09 | 38.87 | 0 | 10.19 | 79.17 | 96.3 | 100 | 100 |
Nepal | 56.86 | 39.19 | 0 | 16.67 | 81.02 | 96.3 | 96.3 | 96.3 |
Nigeria | 46.08 | 30.83 | 11.11 | 22.22 | 22.22 | 80.56 | 85.65 | 85.65 |
Colombia | 53.29 | 36.84 | 0 | 8.33 | 84.26 | 87.04 | 90.74 | 90.74 |
Mexico | 60.11 | 34.52 | 0 | 8.33 | 82.41 | 82.41 | 82.41 | 82.41 |
South Korea | 51.84 | 17.94 | 0 | 43.52 | 45.37 | 56.94 | 82.41 | 82.41 |
Italy | 64.71 | 29.85 | 0 | 60.19 | 69.91 | 91.67 | 93.52 | 93.52 |
Germany | 45.28 | 27.35 | 0 | 11.11 | 52.78 | 73.15 | 73.15 | 73.15 |
Sweden | 38.98 | 10.54 | 0 | 32.41 | 43.52 | 46.3 | 46.3 | 46.3 |
Sub-countries | ||||||||
India, Kerala | 68.09 | 35.22 | 10.19 | 26.85 | 81.94 | 100 | 100 | 100 |
Nepal, Kathmandu | 69.85 | 34.88 | 16.67 | 22.22 | 92.59 | 96.3 | 96.3 | 96.3 |
Nigeria, Abuja | 59.51 | 27.85 | 22.22 | 22.22 | 80.56 | 82.87 | 85.65 | 85.65 |
Colombia, North Santander | 63.79 | 33.01 | 8.33 | 34.26 | 87.04 | 87.96 | 90.74 | 90.74 |
Mexico, Nuevo León | 60.11 | 34.52 | 0 | 8.33 | 82.41 | 82.41 | 82.41 | 82.41 |
South Korea, Daegu | 55.47 | 15.75 | 31.48 | 43.52 | 52.78 | 75.93 | 82.41 | 82.41 |
Italy, Lombardy | 75.63 | 19.76 | 19.44 | 62.96 | 85.19 | 91.67 | 93.52 | 93.52 |
Germany, Baden-Württemberg | 53.52 | 22.68 | 11.11 | 32.87 | 64.35 | 73.15 | 73.15 | 73.15 |
Sweden, Västra Götaland | 38.98 | 10.54 | 0 | 32.41 | 43.52 | 46.3 | 46.3 | 46.3 |