Table 1.

Correlation between daily growth of confirmed cases (DGCC) across China and values of Baidu index (BI)

Region	Values of BI
	Fever	Cough	Fatigue	Sputum production	Shortness of breath
China
rs	0.768	0.556	0.763	0.665	0.780
p	8.013 × 10− 23	1.087 × 10− 9	7.930 × 10− 21	1.793 × 10− 14	2.673 × 10−22
Anhui
rs	0.801	0.770	0.760	− 0.028	0.775
p	5.39 × 1024	3.131 × 10− 21	2.172 × 10− 20	0.782	1.205 × 10− 21
Beijing
rs	0.657	0.431	0.582	0.249	0.610
p	6.336 × 10−14	6.502 × 10− 6	1.358 × 10−10	0.012	1.040 × 10− 11
Chongqing
rs	0.796	0.769	0.740	0.572	0.738
p	1.542 × 10−23	1.647 × 10− 23	6.057 × 10− 19	3.389 × 10− 10	8.809 × 10− 19
Fujian
rs	0.588	0.471	0.705	0.367	0.537
p	8.473 × 10− 11	5.677 × 10− 7	1.388 × 10− 16	1.485 × 10− 4	5.809 × 10− 9
Gansu
rs	0.527	0.444	0.373	− 0.150	0.484
p	1.277 × 10− 8	3.008 × 10− 6	1.112 × 10− 4	0.133	2.586 × 10− 7
Guangdong
rs	0.535	0.336	0.527	0.262	0.506
p	7.113 × 10−9	1.564 × 10− 4	1.287 × 10− 8	0.008	5.598 × 10− 8
Guangxi
rs	0.766	0.754	0.760	0.287	0.731
p	7.075 × 10−21	5.780 × 10−20	1.904 × 10− 20	0.004	6.872 × 10− 8
Guizhou
rs	0.673	0.657	0.622	0.355	0.629
p	9.182 × 10− 15	6.433 × 10− 14	2.921 × 10− 12	2.555 × 10− 4	1.388 × 10− 12
Hainan
rs	0.717	0.735	0.694	−0.354	0.693
p	2.474 × 10− 17	1.468 × 10− 18	6.080 × 10− 16	2.673 × 10− 4	6.597 × 10− 16
Hebei
rs	0.731	0.635	0.662	0.040	0.705
p	2.622 × 10−18	7.392 × 10− 13	3.396 × 10− 14	0.691	1.297 × 10− 16
Heilongjiang
rs	0.413	0.201	0.453	0.089	0.345
p	1.590 × 10− 5	0.042	1.710 × 10− 6	0.375	2.669 × 10− 4
Henan
rs	0.771	0.766	0.728	0.655	0.759
p	2.652 × 10− 21	6.291 × 10− 21	4.647 × 10− 18	7.887 × 10− 14	2.288 × 10− 20
Hong Kong
rs	− 0.094	− 0.514	− 0.282	0.517	− 0.085
p	0.349	3.394 × 10− 8	0.004	2.676 × 10− 8	0.398
Hubei
rs	0.709	0.745	0.631	0.614	0.704
p	7.410 × 10− 17	2693 × 10− 19	1.131 × 10− 12	6.640 × 10− 12	1.640 × 10− 16
Hunan
rs	0.813	0.797	0.738	−0.244	0.759
p	2.942 × 10− 25	1.256 × 10− 23	9.111 × 10− 19	0.014	2.300 × 10− 20
Inner Mongolia
rs	0.322	0.129	0.369	0.385	0.316
p	0.001	0.197	1.384 × 10− 4	6.326 × 10− 5	0.001
Jiangsu
rs	0.695	0.565	0.629	0.502	0.630
p	5.378 × 10− 16	5.918 × 10− 10	1.441 × 10− 12	7.609 × 10− 8	1.306 × 10− 12
Jiangxi
rs	0.692	0.672	0.686	− 0.317	0.640
p	7.678 × 10− 16	1.052 × 10− 14	1.861 × 10− 15	0.001	4.433 × 10− 13
Jilin
rs	0.538	0.446	0.626	0.323	0.355
p	5.415 × 10− 9	2.646 × 10− 6	1.925 × 10− 12	0.001	2.472 × 10− 4
Liaoning
rs	0.575	0.425	0.486	− 0.221	0.513
p	2.685 × 10− 10	8.698 × 10− 6	2.179 × 10− 7	0.026	3.436 × 10− 8
Macau
rs	0.105	0.016	0.093	0.204	0.015
p	0.293	0.872	0.354	0.040	0.882
Ningxia
rs	0.696	0.649	0.541	−0.389	0.503
p	4.495 × 10−16	1.656 × 10−13	4.279 × 10−9	5.317 × 10−5	7.051 × 10−8
Qinghai
rs	0.461	0.465	0.428	0.297	0.396
p	1.115 × 10−6	8.234 × 10−7	7.029 × 10− 6	0.002	3.833 × 10−5
Shaanxi
rs	0.637	0.607	0.606	− 0.157	0.670
p	5.969 × 10−13	1.319 × 10−11	1.494 × 10− 11	0.115	1.406 × 10−14
Shandong
rs	0.706	0.584	0.702	0.528	0.708
p	1.230 × 10−16	1.217 × 10−10	2.135 × 10− 16	5.238 × 10−7	9.317 × 10−17
ShanghaiShanghai
rs	0.331	0.133	0.379	− 0.020	0.391
p	0.001	0.184	8.633 × 10−5	0.841	4.810 × 10− 5
Shanxi
rs	0.380	0.275	0.313	0.001	0.365
p	8.102 × 10−5	0.005	0.001	0.991	2.382 × 10−4
Sichuan
rs	0.775	0.687	0.720	0.681	0.771
p	1.247 × 10−21	1.565 × 10−15	1.588 × 10−17	3.530 × 10− 15	2.517 × 10− 21
Tianjin
rs	0.483	0.424	0.517	0.295	0.453
p	2.675 × 10−7	9.050 × 10−6	2.624 × 10−8	0.003	1.755 × 10− 6
Tibet
rs	0.167	0.139	0.173	−0.003	0.043
p	0.093	0.165	0.082	0.973	0.670
Xinjiang
rs	0.737	0.704	0.593	−0.284	0.504
p	9.948 × 10−19	1.642 × 10−16	4.944 × 10−11	0.004	6.872 × 10−8
Yunnan
rs	0.689	0.616	0.635	−0.340	0.638
p	1.274 × 10−15	5.308 × 10−12	7.636 × 10−13	4.776 × 10−14	5.252 × 10−13
Zhejiang
rs	0.592	0.530	0.628	0.349	0.618
p	5.553 × 10−11	1.026 × 10−8	1.569 × 10−12	3.250 × 10−4	4.461 × 10− 12
Taiwan
rs	−0.111	− 0.428	−0.242	0.523	−0.019
p	0.269	7.105 × 10−6	0.014	1.699 × 10− 8	0.854