. 2017 Oct 3;3(4):e64. doi: 10.2196/publichealth.8078

Table 2.

Spearman correlation between daily Baidu Index for the search term “lung cancer,” daily Baidu media index, and daily fine particulate matter (PM_2.5) concentration.

City	Correlation
	Baidu Index & PM_2.5		Baidu Index & Baidu media index		Baidu media index & PM_2.5
	r_s	P value	r_s	P value	r_s	P value
Beijing	.093^a	.002	.359^a	<.001	–.013	.68
Changchun	.060^b	.048	.167^a	<.001	.122^a	<.001
Changsha	.184^a	<.001	.196^a	<.001	.047	.12
Chengdu	–.041	.17	.006	.84	.026	.40
Chongqing	.139^a	<.001	.189^a	<.001	–.015	.62
Fuzhou	.125^a	<.001	.191^a	<.001	.099^a	.001
Guangzhou	.167^a	<.001	.303^a	<.001	.003	.93
Guiyang	.062^b	.04	.096^a	.001	.029	.34
Harbin	.219^a	<.001	.269^a	<.001	.145^a	<.001
Haikou	.091^a	.002	.164^a	<.001	–.018	.55
Hangzhou	.240^a	<.001	.253^a	<.001	.133^a	<.001
Hefei	.231^a	<.001	.225^a	<.001	.098^a	.001
Hohhot	.036	.23	.188^a	<.001	.028	.36
Jinan	.149^a	<.001	.164^a	<.001	.052	.09
Kunming	.024	.42	.081^a	.007	.031	.30
Lanzhou	.057	.06	.149^a	<.001	.046	.13
Lhasa	.001	.98	.039	.19	.123^a	<.001
Nanchang	.118^a	<.001	.228^a	<.001	.047	.12
Nanjing	.220^a	<.001	.232^a	<.001	.125^a	<.001
Nanning	.039	.19	.165^a	<.001	–.005	.87
Shanghai	.050	.10	.269^a	<.001	.115^a	<.001
Shenyang	.100^a	.001	.276^a	<.001	.103^a	.001
Shijiazhuang	.204^a	<.001	.179^a	<.001	.030	.33
Taiyuan	.088^a	.003	.218^a	<.001	.027	.38
Tianjin	.085^a	.005	.290^a	<.001	.037	.22
Urumqi	.153^a	<.001	.115^a	<.001	.058	.06
Wuhan	.154^a	<.001	.201^a	<.001	.055	.07
Xian	.111^a	<.001	.253^a	<.001	.035	.25
Xining	.081^a	.007	.105^a	.001	.109^a	<.001
Yinchuan	–.012	.68	.102^a	.001	.012	.69
Zhengzhou	.238^a	<.001	.277^a	<.001	.085^a	.005

^aCorrelation is significant at the .01 level (2-tailed).

^bCorrelation is significant at the .05 level (2-tailed).