Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression

Table 4

Obviously underestimated cities with relatively low WP (<0.40).

City	WP	Observed CCCs	Estimated CCCs
Xinyu^1	0.0003	130	7
Bengbu^1	0.0004	160	10
Huaian^1	0.0035	66	20
Ningbo^1	0.0165	157	31
Jining^1	0.0947	260	34
Bozhou^1	0.1625	108	41
Taizhou^1	0.1819	146	53
Fozhou^1	0.2268	72	34
Shangrao^1	0.2710	123	45
Hangzhou^1,∗	0.2889	169	86
Shaoyang^1	0.3267	102	44
Wenzhou^1	0.3495	504	98
Jixi^2	0.0000	46	8
Shuangyashan^2	0.0000	52	6
Ganz^2	0.0000	78	2
Suihua^2	0.0001	47	11
Tangshan^2	0.0014	58	22
Zhongshan^2,∗	0.0203	66	27
Zhuhai^2	0.1561	98	42
Tianjin^2,∗	0.1661	136	47
Haerbin^2,∗	0.2112	198	40

¹Cities close to Wuhan, . ²Cities far from Wuhan, . Municipalities and capital cities.