TABLE 6.

Multivariate Cox regression analysis results.

Variable	B	SE	Wald	df	Sig.	Exp (β)	95.0% CI for Exp (β)
							Lower	Upper
Event type
Medical and health (=0)			10.197	4	0.037
Food safety	1.463	0.517	8.001	1	0.005	4.321	1.567	11.910
Occupational poisoning	1.149	0.567	4.110	1	0.043	3.154	1.039	9.574
Infectious disease	1.791	0.709	6.390	1	0.011	5.996	1.495	24.042
Environmental pollution	0.633	0.602	1.106	1	0.293	1.884	0.579	6.131
Social media discussion volume	−0.017	0.009	3.969	1	0.046	0.983	0.966	1.000
Traditional media coverage
More than 1,000 (=0)			9.721	4	0.045
0	1.057	0.457	5.364	1	0.021	2.879	1.177	7.043
1–5	1.018	0.481	4.471	1	0.034	2.767	1.077	7.106
6–50	0.422	0.471	0.803	1	0.370	1.525	0.606	3.835
51–1000	0.239	0.417	0.330	1	0.566	1.270	0.561	2.876
Opinion leaders
No opinion leaders (= 0)	0.224	0.245	0.835	1	0.361	1.252	0.774	2.025
Subject of liability
Mixed (=0)			2.147	4	0.709
Government	−0.016	0.717	0.001	1	0.982	0.984	0.241	4.015
School	0.201	0.697	0.083	1	0.773	1.223	0.312	4.793
Enterprise	0.441	0.641	0.473	1	0.492	1.554	0.442	5.464
Individual	0.603	0.650	0.863	1	0.353	1.828	0.512	6.532
Influenced areas
Multiple provinces (=0)			0.567	2	0.753
Single city or county	−0.344	0.476	0.523	1	0.470	0.709	0.279	1.801
Multiple cities	−0.274	0.456	0.362	1	0.547	0.760	0.311	1.857
Number of people involved
Small (1–30) (=0)			4.129	3	0.248
Extremely large (501and above)	0.745	0.382	3.799	1	0.051	2.107	0.996	4.457
Large (101–500)	0.483	0.386	1.570	1	0.210	1.621	0.761	3.454
Medium (31–100)	0.501	0.375	1.788	1	0.181	1.651	0.792	3.443
City size
Small city (=0)			4.000	3	0.261
Extremely large city	−0.281	0.277	1.028	1	0.311	0.755	0.439	1.300
Large city	−0.879	0.501	3.079	1	0.079	0.415	0.156	1.108
Medium city	−0.470	0.309	2.319	1	0.128	0.625	0.341	1.145