Effect of WeChat consultation group on residents staying at home in Sichuan and Chongqing regions during the Coronavirus Disease 2019 (COVID-19) outbreak in China: a cross-sectional study

Table 1 Classification and constituent ratio of consultation content

No.	Consultation contents	Number of consultation contents (n)	Constituent ratio (%)	Cumulative constituent ratio (%)	Classification of factor^a
1	Respiratory symptoms	35	23.18	23.28%	A
2	Masks	22	14.57	37.85%	A
3	Disinfection	18	11.92	49.77%	A
4	Non-respiratory symptoms	11	7.28	57.05%	A
5	Other diseases	10	6.62	63.68%	A
6	COVID-19 characteristics	8	5.30	68.98%	A
7	Safe going out	6	3.97	72.95%	A
8	Environment safety	6	3.97	76.92%	A
9	Alcohol selection and storage	6	3.97	80.90%	B
10	Body temperature measurement	6	3.97	84.87%	B
11	Protective measures	5	3.31	88.18%	B
12	Antiviral medication	4	2.65	90.83%	C
13	Incubation period	2	1.32	92.15%	C
14	Food safety	2	1.32	93.48%	C
15	Basic disease type	2	1.32	94.80%	C
16	Social issues	1	0.66	95.47%	C
17	Aerosol infection	1	0.66	96.13%	C
18	Disease characteristics	1	0.66	96.79%	C
19	Ways to remove bats	1	0.66	97.45%	C
20	Gastrointestinal symptoms	1	0.66	98.11%	C
21	Drugs for enhancing immunity	1	0.66	98.78%	C
22	Self-cure	1	0.66	99.44%	C
23	Number of confirmed cases	1	0.66	100.00%	C
Total		151	100

^aCategory A represents cumulative constituent ratio of 0–80%; Category B cumulative constituent ratio of 80–90%; Category C cumulative constituent ratio of 90–100%

ISSN: 1471-2458