Table 1.
Study variables which were associated with positive post-COVID-19 infection status (PCIS) (positive RT-PCT for COVID-19 or COVID-19 antibody test) (n = 1533, 6 cases missing).
| Variable | PCIS + | PCIS − | p-Value |
|---|---|---|---|
| Sex, n (%) | |||
| -Male | 607 (87.97) | 83 (12.03) |
p = 0.000 * (Chi square = 29.645) |
| -Female | 806 (95.61) | 37 (4.39) | |
| Age group (years) | |||
| ≤20 | 11 | 2 |
p = 0.499 (Fisher’s exact) |
| 21–30 | 773 | 59 | |
| 31–40 | 531 | 51 | |
| 41–50 | 91 | 8 | |
| 51–60 | 7 | 0 | |
| Department, n (%) [—ok to leave out ‘department’ here, understood] | |||
| Pre-processing area | 6 | 2 (25) |
p = 0.061 (Fisher’s exact) |
| Warehouse | 91 | 8 (8) | |
| Quality control | 3 | 0 (0) | |
| Human resources | 38 | 2 (5) | |
| Administration | 0 | 2 (100) | |
| Quality assurance | 1 | 0 (0) | |
| Production area | 1241 | 104 (7) | |
| Welfare office | 2 | 0 (0) | |
| Research and development | 10 | 0 (0) | |
| Engineering | 21 | 2 (8) | |
| Dormitories | |||
| A | 518 | 37 |
p = 0.170 (Chi square = 3.546) |
| B | 644 | 32 | |
| C | 285 | 23 | |
* p < 0.05, Chi square test.