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Table 2 Summary of the paper findings

From: The forecast of COVID-19 spread risk at the county level

Accuracy of the COVID-19 forecasting model Significant testing correlation 0f 0.83 (p = 0.0053) with MAE of 605.4 accumulated cases
Correlation analysis for individual counties The majority of the counties had a correlation of>0.7 across the states
Relationship between model performance and number of cases The county number of cases did not affect the model performance.
Capturing change in COVID-19 cases due to government responses The model captures the decrease in the cases with higher stringency index
Ability to capture the effect of age demographics on COVID-19 cases Average daily cases has reverse proportionality with the retire percentage and direct proportionality with the young population percentage