| Uptake of COVID-19 testing (aOR) | 95%CI | Willingness of COVID-19 testing (aOR) | 95%CI |
---|---|---|---|---|
City (ref: Nanjing) | ||||
 Chizhou | 0.765* | (0.619—0.946) | 2.097** | (1.248—3.524) |
Gender (ref: male) | ||||
 Female | 1.116 | (0.912—1.367) | 1.436 | (0.913—2.259) |
Age (ref: 18–25 years) | ||||
 26–35 | 0.703 | (0.487—1.013) | 0.707 | (0.305—1.641) |
 36–45 | 0.725 | (0.478—1.098) | 0.750 | (0.272—2.066) |
 >  = 46 | 0.832 | (0.537—1.290) | 0.429 | (0.155—1.189) |
Residency (ref: local residents) | ||||
 Migrants | 1.179 | (0.893—1.555) | 0.606 | (0.348—1.055) |
Marital status (ref: single) | ||||
 Married | 0.912 | (0.652—1.275) | 1.229 | (0.609—2.479) |
 Divorced/widow | 0.783 | (0.396—1.547) | 1.511 | (0.305—7.494) |
Educational attainment (ref: middle school or lower) | ||||
 High school or technical secondary school | 0.862 | (0.630—1.179) | 0.552 | (0.263—1.161) |
 Junior college | 1.022 | (0.747—1.398) | 0.717 | (0.326—1.576) |
 Bachelor's degree or higher | 1.252 | (0.893—1.756) | 0.686 | (0.302—1.558) |
Occupation (ref: government agency) | ||||
 Service industry | 0.307** | (0.239—0.395) | 0.403** | (0.212—0.767) |
 Manufacturing industry or agriculture | 0.190** | (0.138—0.261) | 0.570 | (0.253—1.284) |
 Others | 0.216** | (0.164—0.283) | 0.316** | (0.162—0.617) |
Annual individual income (ref: < 20 k) | ||||
 20-50 k | 1.207 | (0.854—1.706) | 1.295 | (0.591—2.837) |
 50-100 k | 1.021 | (0.739—1.410) | 1.294 | (0.640—2.617) |
 100-200 k | 0.895 | (0.632—1.267) | 1.230 | (0.580—2.609) |
 > 200 k | 0.804 | (0.539—1.199) | 1.196 | (0.500—2.860) |
Self-reported health status (ref: good) | ||||
 Poor | 1.087 | (0.795—1.486) | 0.833 | (0.436—1.594) |
Awareness of COVID-19 (ref: low) | ||||
 High | 1.286 | (0.910—1.817) | 4.318** | (2.550—7.314) |
Perceived susceptibility of COVID-19 (ref: low) | ||||
 High | 2.719** | (1.739—4.251) | 2.261 | (0.673—7.597) |
Perceived severity of COVID-19 (ref: mild) | ||||
 Severe or moderate | 1.006 | (0.792—1.278) | 0.829 | (0.486—1.417) |