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Table 2 AIC, RMSE (log-transformed case numbers), and Akaike Weight for Model I and Model II across the 12 districts

From: Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia

Districts Model I Model II
AIC RMSE Akaike Weight AIC RMSE Akaike Weight
Ankasha Guagusa 103.61 0.444 0.002 91.45 0.410 0.998
Artuma Fursi 93.05 0.406 0.080 88.16 0.386 0.920
Bati 74.31 0.378 0.083 69.50 0.360 0.917
Berehet 174.21 0.697 0.033 167.45 0.669 0.967
Dembecha 111.98 0.473 0.051 106.13 0.461 0.949
Fagita Lekoma 132.11 0.514 0.068 126.86 0.505 0.932
Libokemkem 65.66 0.341 0.531 65.91 0.344 0.469
Mecha 125.88 0.492 0.050 120.00 0.471 0.950
Meket 191.19 0.708 0.043 184.97 0.695 0.957
Merhabete 191.99 0.754 0.109 187.78 0.737 0.891
South Achefer 78.44 0.391 0.004 67.16 0.352 0.996
Worebabu 115.13 0.470 0.005 104.39 0.434 0.995
  1. Note: Model I (without environmental covariates); Model II (with environmental covariates).