Table 3.
Periods | Grades | Models for Beijing |
Models for Guangzhou |
Models for Shenzhen |
||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 | ||
6th–8th Feb | 1–2 | 20% | 18% | 5% | ||||||
3 | 20% | 15% | 23% | |||||||
4–5 | 60% | 67% | 72% | |||||||
9th–12th Feb | 1–2 | 16% | 16% | 17% | 6% | 4% | 9% | |||
3 | 20% | 20% | 16% | 33% | 39% | 30% | ||||
4–5 | 64% | 64% | 67% | 61% | 57% | 61% | ||||
13th–27th Feb | 1–2 | 20% | 16% | 20% | 25% | 25% | 25% | 0% | 0% | 0% |
3 | 8% | 12% | 20% | 0% | 0% | 8% | 29% | 24% | 24% | |
4–5 | 72% | 72% | 60% | 75% | 75% | 67% | 71% | 76% | 76% | |
⁎6th/9th–27th Feb | 1–2 | 19% | 16% | 19% | 13% | 4% | 5% | |||
3 | 16% | 16% | 13% | 20% | 28% | 27% | ||||
4–5 | 65% | 68% | 68% | 67% | 68% | 68% |
The subsequently summed communities in 6th–27th Feb and 9th–27th Feb were utilized for Model 1 and 2. Model 1, 2, and 3 were respectively validated by the dataset of infected communities in 6th–8th Feb, 9th–12th Feb, and 13th–27th Feb.