Table 3 Local clustering pattern of COVID-19 incidence in various regions of China from 2020 to 2022.
From: Analysis and prediction of infectious diseases based on spatial visualization and machine learning
Cluster pattern | 2020 | 2021 | 2022 | |||
|---|---|---|---|---|---|---|
Province | Ratio | Province | Ratio | Province | Ratio | |
H-H | Hong Kong | 3% | None | 0 | None | 0 |
H-L | Hubei | 3% | Shaanxi | 6% | None | 0 |
Yunnan | ||||||
L-H | Guizhou | 18% | Hunan | 12% | Zhejiang | 6% |
Hunan | Jiangxi | Fujian | ||||
Jiangxi | Anhui | Â | ||||
Fujian | Zhejiang | Â | ||||
Anhui | Â | Â | ||||
Zhejiang | Â | Â | ||||
L-L | Gansu | 9% | Xinjiang | 6% | Sichuan | 12% |
Qinghai | Tibet | Shaanxi | ||||
Xinjiang | Â | Ningxia | ||||
| Â | Â | Shanxi | ||||
