Table 2.
Sociodemographic characteristics and risk assessment category for COVID-19
| Variable | Risk assessment category (n = 1,466) | Test statistics | P-value | |
|---|---|---|---|---|
| High (n = 328) Frequency (%) | Low (n = 1,138) Frequency (%) | |||
| Age (years) | ||||
| 20–39 | 214 (19.8) | 866 (80.2) | – | – |
| 40–59 | 109 (28.7) | 271 (71.3) | χ2 = 25.622 | P < 0.001 |
| ≥ 60 | 5 (83.3) | 1 (16.7) | – | – |
| Gender | ||||
| Male | 173 (27.3) | 461 (72.7) | χ2 = 15.527 | P = 0.001 |
| Female | 155 (18.6) | 677 (81.4) | – | – |
| Occupational groups of healthcare workers | ||||
| Doctors | 182 (24.6) | 559 (75.4) | χ2 = 19.294 | P = 0.002 |
| Nurses | 104 (18.4) | 460 (81.6) | – | – |
| Others* | 17 (39.5) | 26 (60.5) | – | – |
| Health assistants | 12 (21.8) | 43 (78.2) | – | – |
| Administrative staff | 8 (36.4) | 14 (63.6) | – | – |
| Paramedics | 5 (12.2) | 36 (87.8) | – | – |
*
Others include cleaning and laundry personnel, X-ray technicians, phlebotomists, nutritionists, social workers, physical therapists, laboratory personnel, cleaners, porters, and catering staff.