Table 2.
Distribution of respondents and “knowledge” scores of COVID-19 across demographics in Bangladesh, 2020 (N = 1765)
| Parameters | Categories |
Frequency (%) |
Knowledge score (mean±SD) | t/F | p value |
|---|---|---|---|---|---|
| Gender | Male | 1129 (64.0) | 14.54 ± 1.84 | 1.79 | 0.074 |
| Female | 636 (36.0) | 14.38 ± 1.82 | |||
| Age | ≤ 20 | 288 (16.3) | 13.81 ± 2.12 | 8.33 | < 0.001 |
| 21–25 | 969 (54.9) | 14.63 ±1.55 | |||
| 26–30 | 338 (19.2) | 14.82 ±1.77 | |||
| Above 30 | 170 (9.6) | 14.18 ±2.51 | |||
| Monthly income (BDT) | ≤ 30,000 | 940 (53.3) | 14.38 ±1.79 | 2.71 | 0.007 |
| > 30,000 | 825 (46.7) | 14.61 ±1.88 | |||
| Religion | Muslim | 1380 (78.2) | 14.53 ±1.84 | 1.89 | 0.031 |
| Hindu | 373 (21.1) | 14.38 ±1.77 | |||
| Others | 12 (0.7) | 12.75 ±2.73 | |||
| Marital status | Married | 384 (21.8) | 14.45 ±2.13 | 1.23 | 0.089 |
| Unmarried | 1381 (78.2) | 14.50 ±1.74 | |||
| Education status | Below secondary | 6 (0.3) | 9.67 ±5.82 | 23.46 | < 0.001 |
| High School | 62 (3.5) | 11.97 ±2.52 | |||
| College | 223 (12.6) | 13.90 ±2.14 | |||
| Honours | 999 (56.6) | 14.54 ±1.61 | |||
| Masters or Higher | 475 (26.9) | 15.04 ±1.46 | |||
| Occupation | Student | 937 (53.1) | 14.41 ±1.75 | 5.40 | < 0.001 |
| Health Professional | 118 (6.7) | 15.39 ±1.17 | |||
| Employee | 352 (19.9) | 14.81 ±1.7 | |||
| Business | 40 (2.3) | 13.75 ±2.46 | |||
| Unemployed | 184 (10.4) | 14.55 ±1.82 | |||
| Housewife | 68 (3.9) | 13.00 ±2.81 | |||
| Others | 66 (3.7) | 14.00 ±1.79 | |||
| Residence | Rural | 497 (28.2) | 14.23 ±2.13 | 3.34 | < 0.001 |
| Semi-urban | 621 (35.2) | 14.49 ±1.74 | |||
| Urban | 647 (36.7) | 14.68 ±1.65 | |||
| Source of information | 894 (50.7) | 14.48 ±1.70 | 6.84 | < 0.001 | |
| TV | 625 (35.4) | 14.48 ±1.83 | |||
| Newspaper | 98 (5.6) | 14.65 ±2.05 | |||
| Scientific features | 58 (3.3) | 15.40 ±1.12 | |||
| Others | 90 (5.1) | 13.79 ±2.81 | |||
| Received training | Yes | 260 (14.7) | 15.30 ±1.28 | 7.92 | < 0.001 |
| No | 1505 (85.3) | 14.34 ±1.88 |