Table 1 Distribution of the studied cases according to demographic data (n = 3960)
From: COVID-19-related health literacy and preparedness to what may come: a cross-sectional study
| Â | No. (%) |
|---|---|
Gender | |
 Male | 2341 (59.1%) |
 Female | 1619 (40.9%) |
Age | |
 18–29 | 1755 (44.3%) |
 30–44 | 1150 (29.0%) |
 45–59 | 721 (18.2%) |
 60 +  | 334 (8.4%) |
Education | |
 Illiterate | 173 (4.4%) |
 Just Read & Write | 381 (9.6%) |
 Primary, Intermediate, Secondary | 830 (21.0%) |
 Bachelors, Masters, Doctorate | 2576 (65.1%) |
Monthly household income | |
 < 2000 LE | 1594 (40.3%) |
 2000-4999LE | 1636 (41.3%) |
 5000–9999 LE | 496 (12.5%) |
 10,000–19999 LE | 176 (4.4%) |
 20,000–49999 LE | 39 (1.0%) |
 ≥ 50000LE | 19 (0.5%) |
Job of participant | |
 Medical | 559 (14.1%) |
 Non-medical | 3401 (85.9%) |
How well are you informed about the coronavirus? | |
 Very well | 253 (6.4%) |
 Well | 844 (21.3%) |
 Not so well | 2038 (51.5%) |
 Not well at all | 825 (20.8%) |
Do you feel confused about COVID-19 information? | |
 Very confused | 677 (17.1%) |
 Somewhat confused | 1664 (42.0%) |
 Barely confused | 1100 (27.8%) |
 Not confused et al | 519 (13.1%) |