From: Network-based prediction of COVID-19 epidemic spreading in Italy
REGION | Error NIPA | Error NIPA-LD |
---|---|---|
Abruzzo | 0.1065 \(\times \) 10\(^{-4}\) | 0.1293 \(\times 10^{-4}\) |
Basilicata | 0.0198 \(\times \) 10\(^{-4}\) | 0.0114 \(\times \) 10 \(^{-4}\) |
P.A.Bolzano | 0.0714 \(\times \) 10\(^{-4}\) | 0.0204 \(\times \) 10 \(^{-4}\) |
Calabria | 0.0051 \(\times \) 10\(^{-4}\) | 0.0031 \(\times \) 10 \(^{-4}\) |
Campania | 0.0133 \(\times \) 10 \(^{-4}\) | 0.0233 \(\times \) 10\(^{-4}\) |
Emilia | 0.0244 \(\times \) 10 \(^{-4}\) | 0.2203 \(\times \) 10\(^{-4}\) |
Friuli | 0.0846 \(\times \) 10 \(^{-4}\) | 0.1081 \(\times \) 10\(^{-4}\) |
Lazio | 0.0314 \(\times \) 10 \(^{-4}\) | 0.0416 \(\times \) 10\(^{-4}\) |
Liguria | 0.1840 \(\times \) 10\(^{-4}\) | 0.1562 \(\times \) 10 \(^{-4}\) |
Lombardia | 0.133 \(\times \) 10 \(^{-4}\) | 0.3821 \(\times \) 10\(^{-4}\) |
Marche | 0.1006 \(\times \) 10\(^{-4}\) | 0.0621 \(\times \) 10 \(^{-4}\) |
Molise | 0.3505 \(\times \) 10\(^{-4}\) | 0.0931 \(\times \) 10 \(^{-4}\) |
Piemonte | 0.3525 \(\times \) 10\(^{-4}\) | 0.2932 \(\times \) 10 \(^{-4}\) |
Puglia | 0.3811 \(\times \) 10\(^{-4}\) | 0.3170 \(\times \) 10 \(^{-4}\) |
Sardegna | 0.0102 \(\times \) 10\(^{-4}\) | 0.0036 \(\times \) 10 \(^{-4}\) |
Sicilia | 0.0090 \(\times \) 10\(^{-4}\) | 0.0017 \(\times \) 10 \(^{-4}\) |
Toscana | 0.0488 \(\times \) 10\(^{-4}\) | 0.0675 \(\times \) 10 \(^{-4}\) |
P.A.Trento | 0.1106 \(\times \) 10\(^{-4}\) | 0.0142 \(\times \) 10 \(^{-4}\) |
Umbria | 0.0038 \(\times \) 10 \(^{-4}\) | 0.0089 \(\times \) 10\(^{-4}\) |
ValleAosta | 0.0493 \(\times \) 10\(^{-4}\) | 0.0335 \(\times \) 10 \(^{-4}\) |
Veneto | 0.0423 \(\times \) 10\(^{-4}\) | 0.0055 \(\times \) 10 \(^{-4}\) |