Table 2 Overall data structure for test period #1.
From: Forecasting the spread of COVID-19 based on policy, vaccination, and Omicron data
Country | Vaccination coefficient | Prediction model | yijl |
|---|---|---|---|
DNK (l = 0) | Unused (\({b}_{j,1}=\cdot \cdot \cdot ={b}_{j,4}=0\)) | ARIMA (\({a}_{i,1}=\cdot \cdot \cdot ={a}_{i,5}=0\)) | y000 |
BiLSTM (\({a}_{i,1}=1\)) | y100 | ||
GAM (\({a}_{i,2}=1\)) | y200 | ||
lightGBM (\({a}_{i,3}=1\)) | y300 | ||
SEIR (\({a}_{i,4}=1\)) | y400 | ||
TSGLM (\({a}_{i,5}=1\)) | y500 | ||
1st-vaccination (\({b}_{j,1}\) = 1) | ARIMA (\({a}_{i,1}=\cdot \cdot \cdot ={a}_{i,5}=0\)) | y010 | |
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | ||
TSGLM (\({a}_{i,5}=1\)) | y510 | ||
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | |
1st, 2nd, 3rd vaccinations (\({b}_{j,4}\) = 1) | TSGLM (\({a}_{i,5}=1\)) | y540 | |
\(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) | \(\cdot \cdot \cdot\) |
USA (l = 6) | 1st, 2nd, 3rd vaccinations (\({b}_{j,4}\) = 1) | TSGLM (\({a}_{i,5}=1\)) | y546 |
