Table 2 Results of the chi-square test and binary logistic regression analysis about whether the app could increase personal awareness of the disease prevalence and status
Characteristics | Total (N = 52) | Agreement if the app can leverage personal awareness of disease infection | |||||||
|---|---|---|---|---|---|---|---|---|---|
Agree | Not Agree | Chi | 95% CI for OR | ||||||
N | Percentage | N | Percentage | p-value | OR | Lower | Upper | ||
Gender | 52 | 48 | 92.3% | 4 | 7.7% | 0.674 | Â | Â | Â |
 Male (ref) | 34 | 31 | 91.2% | 3 | 8.8% |  | 1 |  |  |
 Female | 18 | 17 | 94.4% | 1 | 5.6% |  | 1.65 | 0.16 | 17.07 |
Age | 52 | 48 | 92.3% | 4 | 7.7% | 0.356 | Â | Â | Â |
  ≤ 30 Yrs. (ref) | 22 | 21 | 95.5% | 1 | 4.5% |  | 1 |  |  |
 31 – 50 Yrs. | 22 | 19 | 86.4% | 3 | 13.6% |  | 0.30 | 0.03 | 3.15 |
  ≥ 50 Yrs. | 8 | 8 | 100.0% | 0 | 0.0% |  | – | – | – |
Education | 52 | 48 | 92.3% | 4 | 7.7% | 0.759 | Â | Â | Â |
 Lower than Bachelor (ref) | 18 | 16 | 88.9% | 2 | 11.1% |  | 1 |  |  |
 Bachelor | 13 | 12 | 92.3% | 1 | 7.7% |  | 1.50 | 0.12 | 18.54 |
 Higher than Bachelor | 21 | 20 | 95.2% | 1 | 4.8% |  | 2.50 | 0.21 | 30.12 |
Continent | 52 | 48 | 92.3% | 4 | 7.7% | 0.970 | Â | Â | Â |
 Asia (ref) | 15 | 14 | 93.3% | 1 | 6.7% |  | 1 |  |  |
 Europe | 23 | 21 | 91.3% | 2 | 8.7% |  | 0.75 | 0.06 | 9.08 |
 Others | 14 | 13 | 92.9% | 1 | 7.1% |  | 0.93 | 0.05 | 16.42 |