Table 3.
Most extreme under- or overestimation for regions with a minimum number of 10,000 cases
| Underestimation | Overestimation | |||
|---|---|---|---|---|
| Region | EIL | Region | EIL | |
| Day of estimation | Belgium | −0.565 | Hubei, China | 0.022 |
| United States of America | −0.444 | Germany | 0.020 | |
| Netherlands | −0.422 | NA | NA | |
| Switzerland | −0.322 | NA | NA | |
| Italy | −0.301 | NA | NA | |
| Two weeks forecast | Belgium | −1.274 | Austria | 0.657 |
| Sweden | −1.171 | Quebec, Canada | 0.498 | |
| Russia | −0.939 | Switzerland | 0.399 | |
| France | −0.651 | United States of America | 0.336 | |
| Iran | −0.556 | Germany | 0.096 | |
| One month forecast | Belarus | −3.719 | Austria | 1.281 |
| Qatar | − 3.159 | Switzerland | 0.889 | |
| Singapore | −3.155 | United States of America | 0.714 | |
| India | −2.301 | Quebec, Canada | 0.638 | |
| Russia | −2.290 | Portugal | 0.402 | |
| Two months forecast | Bangladesh | −6.097 | Austria | 1.398 |
| Belarus | −4.730 | Switzerland | 1.012 | |
| Qatar | −4.597 | United States of America | 0.399 | |
| Kuwait | −4.104 | Israel | 0.358 | |
| India | −3.864 | Portugal | 0.302 | |
EIL difference between logarithmic predicted and observed case counts, NA not applicable