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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).