Inference and prediction of malaria transmission dynamics using time series data

Table 2 The fitting results of the proposed models in Tengchong and Longling

County	Model	RMSE	MSE	MAE	R-squared
Tengchong	Weather-driven model	9.2986	86.4642	7.9169	0.8129
	Data-driven model	5.2562	27.6277	3.5287	0.9323
Longling	Weather-driven model	3.0427	9.2577	2.3347	0.6003
	Data-driven model	2.1368	4.5659	1.6566	0.7609

¹RMSE: root-mean-square error; MSE: mean squared error; MAE: mean absolute error

ISSN: 2049-9957