Table 1.
Baseline characteristics of the study population according to SARS-CoV-2 serology at inclusion.
| Negative SARS-CoV-2 serology (N = 999) | Positive SARS-CoV-2 serology (N = 61) | Totala (N = 1062) | |
|---|---|---|---|
| Age | 33 [28–42.5] | 31 [26–38] | 33 [28–42] |
| Women | 717 (71.8%) | 40 (65.6%) | 758 (71.4%) |
| Professional category | |||
| Senior physicians | 208 (20.8%) | 12 (19.7%) | 221 (20.8%) |
| Medical students (including residents) | 89 (8.9%) | 11 (18%) | 100 (9.4%) |
| Care assistants | 197 (19.7%) | 6 (9.8%) | 203 (19.1%) |
| Nurses | 378 (37.8%) | 27 (44.7%) | 405 (38.1%) |
| Othersb | 127 (12.7%) | 5 (8.2%) | 133 (12.5%) |
| Working department | |||
| Emergency department | 372 (37.2%) | 7 (11.5%) | 380 (35.8%) |
| Infectious diseases unit | 239 (23.9%) | 43 (70.5%) | 282 (26.6%) |
| Intensive care unit | 343 (34.3%) | 11 (18%) | 355 (33.4%) |
| Virology laboratory | 45 (4.5%) | 0 (0%) | 45 (4.2%) |
| Working in a COVID-free unit | 80 (8%) | 2 (3.3%) | 82 (7.7%) |
| Working in a referent hospital for emerging biological risk | 519 (52%) | 32 (52.5%) | 552 (52%) |
| Night shift | 123 (12.3%) | 5 (8.2%) | 129 (12.2%) |
| Missing data, No | 1 | 0 | 1 |
| Experience in the job (months) | 84 [36–180] | 72 [30–168] | 84 [36–180] |
| Missing data, No | 5 | 0 | 5 |
| Experience in the department (months) | 36 [10–84] | 24 [6–72] | 36 [9–84] |
| Missing data, No | 14 | 0 | 14 |
| Public transportation use | 369 (40.5%) | 18 (40.9%) | 387 (40.5%) |
| Missing data, No | 88 | 17 | 105 |
| Active smoker | 246 (27.8%) | 4 (8.9%) | 250 (26.9%) |
| Missing data, No | 115 | 16 | 132 |
| Symptoms suggestive of COVID-19 before inclusion | 125 (13.3%) | 29 (50%) | 154 (15.4%) |
| Missing data, No | 57 | 3 | |
| If yes: fever | 29 (23.2%) | 13 (44.8%) | 42 (27.3%) |
| Anosmia and/or agueusia | 10 (8%) | 14 (48.3%) | 24 (15.6%) |
| Respiratory symptoms | 56 (44.8%) | 13 (44.8%) | 69 (44.8%) |
| Gastrointestinal symptoms | 25 (20%) | 2 (6.9%) | 27 (17.5%) |
| Adherence to PPE recommendations over the study periodc | |||
| Wear a surgical mask | 829 (93%) | 40 (85%) | 870 (93.1%) |
| Wear an FFP2 mask to take nasopharyngeal swabs | 521 (78%) | 28 (82%) | 549 (77.8%) |
| Wear an N95 mask to handle a confirmed COVID-19 case | 578 (74%) | 24 (56%) | 603 (73.2%) |
| If wearing a mask (surgical or FFP2), change every 4 h | 570 (65%) | 22 (47%) | 592 (63.9%) |
| Hydro-alcoholic friction or hand washing before and after each patient contact | 831 (99%) | 45 (98%) | 877 (98.5%) |
Data are n (%) for qualitative variables and median [interquartile range] for quantitative variables.
aHCWs with positive, negative or missing (n = 2) serology at inclusion, thus 2 more individuals than the sum of the 2 other columns.
bOthers include (but not limited to): secretaries, nurse’s managers, social workers.
cCollected at the end of the study on a 5-point Likert scale (0, never, to 5, systematically), reported as the proportion of HCWs rating 4 or 5; PPE: personal protective equipment.