Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines

Table 3 Consensus of Important Meteorological Factors (MF) and its corresponding time lags (LG) across all statistical modeling techniques

Weather Variables	Meteorological Factors (MF)			Lagged Meteorological Factors (LG)
Weather Variables	GAM	SARIMAX	RF	GB	GAM	SARIMAX	RF	GB
Flood					x	x
Rainfall			x	x	x		x	x
Relative Humidity	x		x	x	x		x	x
Minimum Temperature		x	x				x
Average Temperature			x	x		x	x	x
Maximum Temperature	x		x	x	x		x	x
Southern Oscillation Index	x				x		x
Wind Speed		x
Minimum Wind Direction
Maximum Wind Direction		x

Note: x = identified as an important meteorological factor from each model
GAM: General Additive Modeling, SARIMAX: Seasonal Autoregressive Moving Average with Exogenous Variables, RF: Random Forest, GB: Gradient Boosting

ISSN: 1471-2334