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. 2021 Apr 13;23(4):e27045. doi: 10.2196/27045

Table 1.

The impacts of population mobility on COVID-19 outbreaks in South Carolina.

Parameters State level County level


Charleston Greenville Horry Spartanburg Richland
Model training

Time windows (days) 1-7 1-9 1-14 1-28 1-20 1-9

Coefficient of population mobility (95% CI) 0.818 (0.761-0.876) 0.486 (0.338-0.634) 0.278 (0.165-0.390) 0.395 (0.275-0.515) 0.270 (0.118-0.422) 0.157 (0.067-0.246)

Model evaluation (3-day prediction error) 0.294 2.032 0.214 3.146 0.427 0.396
3-day forecasting

Cumulative difference 42 30 28 40 66 81

Accuracy (%) 98.7 85.1 93.3 69.0 76 72.2
7-day forecasting

Cumulative difference 670 110 147 45 175 144

Accuracy (%) 90.9 76.7 85.2 85.9 68.3 76.8
14-day forecasting

Cumulative difference 2858 272 541 217 452 329

Accuracy (%) 81.6 72.1 74.5 72.6 60.3 73.6