Table 3 Overall data structure for test period #2.
From: Forecasting the spread of COVID-19 based on policy, vaccination, and Omicron data
Country | Omicron variant usage | Vaccination coefficient | Prediction model | yijkl |
|---|---|---|---|---|
DNK (l = 0) | Unused (\({c}_{k}\) = 0) | Unused (\({b}_{j,1}=\cdot \cdot \cdot ={b}_{j,4}=0\)) | ARIMA (\({a}_{i,1}=\cdot \cdot \cdot ={a}_{i,5}=0\)) | y0000 |
BiLSTM (\({a}_{i,1}=1\)) | y1000 | |||
GAM (\({a}_{i,2}=1\)) | y2000 | |||
lightGBM (\({a}_{i,3}=1\)) | y3000 | |||
SEIR (\({a}_{i,4}=1\)) | y4000 | |||
TSGLM (\({a}_{i,5}=1\)) | y5000 | |||
1st-vaccination (\({b}_{j,1}\) = 1) | ARIMA (\({a}_{i,1}=\cdot \cdot \cdot ={a}_{i,5}=0\)) | y0100 | ||
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | |||
TSGLM (\({a}_{i,5}=1\)) | y5100 | |||
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | ||
1st, 2nd, 3rd vaccinations (\({b}_{j,4}\) = 1) | TSGLM (\({a}_{i,5}=1\)) | y5400 | ||
Used (\({c}_{k}\) = 1) | Unused (\({b}_{j,1}=\cdot \cdot \cdot ={b}_{j,4}=0\)) | ARIMA (\({a}_{i,1}=\cdot \cdot \cdot ={a}_{i,5}=0\)) | y0010 | |
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | ||
1st, 2nd, 3rd vaccinations (\({b}_{j,4}\) = 1) | TSGLM (\({a}_{i,5}=1\)) | y5410 | ||
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) |
USA (l = 6) | Used (\({c}_{k}\) = 1) | 1st, 2nd, 3rd vaccinations (\({b}_{j,4}\) = 1) | TSGLM (\({a}_{i,5}=1\)) | y5416 |
