Table 2. Linear regression model for each syphilis time series removed seasonality.
Constant | Coefficient | Coefficient 95% confidence Interval | R2 | P | ||
---|---|---|---|---|---|---|
Primary syphilis | 0.28232 | 0.00473 | 0.00442 | 0.00504 | 0.908 | 0.002 |
Secondary syphilis | 0.21493 | 0.00237 | 0.00219 | 0.00255 | 0.872 | <0.001 |
Tertiary syphilis | 0.00550 | 0.00015 | 0.00014 | 0.00016 | 0.903 | <0.001 |
Latent syphilis | 0.16333 | 0.01390 | 0.01329 | 0.01451 | 0.955 | 0.007 |
Congenital syphilis | 0.02824 | 0.00055 | 0.00050 | 0.00060 | 0.848 | <0.001 |
Note: The linear relationship between the deseasonalized syphilis incidence (dependent variable) and time t (independent variable) is estimated in the model.