Research Article
A Linear Regression Prediction Model of Infectious Disease Spread Based on Baidu Migration and Effective Distance
Table 2
Linear regression model between the effective distance and the level of cumulative confirmed cases in different periods.
| | Destination | Data (month-day) | Regression coefficient (95% CI) | -test | value | Regression equation | |
| | Provincial level | 01-24 | -0.32 (-0.36~-0.25) | -11.37 | 0.000 | | 0.81 | | 01-31 | -0.36 (-0.40~-0.30) | -14.47 | 0.000 | | 0.87 | | 02-07 | -0.38 (-0.43~-0.33) | -15.84 | 0.000 | | 0.89 | | 02-14 | -0.42 (-0.46~-0.36) | -17.14 | 0.000 | | 0.90 | | 02-21 | -0.43 (-0.47~-0.37) | -16.78 | 0.000 | | 0.91 | | Municipal level | 01-24 | -0.19 (-0.25~-0.12) | -5.67 | 0.000 | | 0.31 | | 01-31 | -0.33 (-0.36~-0.28) | -18.11 | 0.000 | | 0.76 | | 02-07 | -0.36 (-0.38~-0.32) | -20.23 | 0.000 | | 0.80 | | 02-14 | -0.38 (-0.41~-0.34) | -22.53 | 0.000 | | 0.83 | | 02-21 | -0.39 (-0.41~-0.35) | -23.55 | 0.000 | | 0.84 |
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