Predicting the Number of Reported Pulmonary Tuberculosis in Guiyang, China, Based on Time Series Analysis Techniques

Table 6

ARIMA model for each meteorological factors.

Meteorological factors	ARIMA models	AIC	Box-Ljung test
			-squared	value
Sunshine hours (SH)	ARIMA (1, 0, 0) (1, 1, 1)12	1088.210	0.007	0.932
Relative humidity (RH)	ARIMA (0, 0, 1)	737.420	<0.001	0.998
Average atmospheric pressure (AAP)	ARIMA (0, 0, 0) (0, 1, 1)12	364.720	0.379	0.538
Annual highest temperature (AHT)	ARIMA (1, 0, 0) (2, 1, 1)12	509.200	0.185	0.667