Table 2.
Demographic characteristics of respondents in the validation study.
| Descriptions | No. of respondents | Proportions (%) |
|---|---|---|
| Gender | ||
| Male | 98 | 53.0 |
| Female | 87 | 47.0 |
| Household registration | ||
| Urban | 94 | 50.8 |
| Rural | 91 | 49.2 |
| City | ||
| Lanzhou | 57 | 30.8 |
| Dingxi | 52 | 28.1 |
| Jiuquan | 76 | 41.1 |
| Age | ||
| 15~19 | 2 | 1.1 |
| 20~29 | 35 | 18.9 |
| 30~39 | 45 | 24.3 |
| 40~49 | 37 | 20.0 |
| 50~59 | 45 | 24.3 |
| 60~69 | 21 | 11.4 |
| Ethnic | ||
| Han | 179 | 96.8 |
| Minorities | 6 | 3.2 |
| Education | ||
| Illiterate or barely literate | 5 | 2.7 |
| Primary school | 31 | 16.8 |
| Secondary school | 37 | 20.0 |
| High school/professional high school/special secondary school | 21 | 11.4 |
| College | 32 | 17.3 |
| Bachelor's degree | 45 | 24.3 |
| Master's degree | 11 | 5.9 |
| Doctorate degree | 3 | 1.6 |
| Career | ||
| Professionals (e.g., teachers/doctors/lawyers, etc.) | 19 | 10.3 |
| Service workers (e.g., caterers/drivers/salesmen, etc.) | 10 | 5.4 |
| Freelancers (e.g., writers/artists/photographers/tour guides, etc.) | 2 | 1.1 |
| Workers (e.g., factory workers/construction workers/urban sanitation workers, etc.) | 20 | 10.8 |
| Company employee | 12 | 6.5 |
| Government institution employee/civil servants/government staff | 36 | 19.4 |
| Student | 10 | 5.4 |
| Housewife | 10 | 5.4 |
| Others (famers) | 66 | 35.7 |
| Have you been involved in medical science research? | ||
| (e.g., medical projects, trials, etc.) | ||
| Yes | 14 | 7.6 |
| No | 171 | 92.4 |
| Have you received health science education? | ||
| (e.g., health lectures, surveys, etc.) | ||
| Yes | 129 | 69.7 |
| No | 56 | 30.3 |
| Are you paying continuous attention to the relevant | ||
| information of the COVID-19 pandemic? | ||
| Yes | 176 | 95.1 |
| No | 9 | 4.9 |