Table 3.
Conditional logit model of public preferences affected by vaccine attributes.
| Attribute | COVID-19 vaccine (N = 746) | Influenza vaccine (N = 763) | |||
|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | ||
| Effectiveness (base: 75%) | (base:40%) | ||||
| 95% | 1.86a | 1.72, 2.00 | 70% | 1.37a | 1.21, 1.54 |
| 90% | 3.65a | 3.32, 4.02 | |||
| Protection duration (base: 6 months) | |||||
| 1 year | 1.10a | 1.00, 1.21 | 1 year | 1.18a | 1.09, 1.27 |
| 5 years | 1.65b | 1.50, 1.80 | |||
| Sequelae probability (base: high) | (base: middle) | ||||
| Middle | 2.05a | 1.85, 2.27 | Low | 1.86a | 1.72, 2.01 |
| Low | 4.67a | 4.23, 5.16 | |||
| Country-of-origin (base: imported products) | |||||
| Domestic products | 1.50a | 1.39, 1.62 | 1.24a | 1.16, 1.34 | |
| Out-of-pocket cost (CNY) (base:0) | |||||
| 150 | 0.65a | 0.60, 0.70 | 0.85a | 0.78, 0.93 | |
| 300 | 0.46a | 0.41, 0.50 | 0.42a | 0.37, 0.46 | |
| Model fit | |||||
| Log-likelihood | −4242.5836 | −4244.3159 | |||
| Pseudo R2 | 0.1795 | 0.1975 | |||
| AIC | 8501.167 | 8502.632 | |||
| BIC | 8562.051 | 8556.063 | |||
| Observations | 14,920 | 15,260 | |||
a Significance: p < 0.01.
b Significance: p < 0.05.