A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data

Table 4 Examples of the 166 chosen rules from the classifier for predicting 4–7 weeks ahead

Rule #	Antecedent 1	Antecedent 2	Antecedent 3	Consequent	Confidence	Support	Lift
1	Week_26-29	PastIncidenceRateT-4_T-1_Low	PastIncidenceRateT-8_T-5_Low	PredictedIncidenceRateT+4_T+7_Low	1.0	0.0454	1.29
2	Week_26-29	PastIncidenceRateT-8_T-5_Low	ElectricLighting_High	PredictedIncidenceRateT+4_T+7_Low	1.0	0.0402	1.29
…	…	…	…	…	…	…	…
46	Week_42-45	PastIncidenceRateT-4_T-1_High	SSTAT-10_High	PredictedIncidenceRateT+4_T+7_High	1.0	0.0047	18.83
…	…	…	…	…	…	…	…
58	NDVIT-8_T-5_Med	Sanitation_High	SSTAT-2_High	PredictedIncidenceRateT+4_T+7_Low	0.998	0.0122	1.29
…	…	…	…	…	…	…	…
166	Week_50-53	RainfallT-12_T-9_Med	SOIT-12_T-9_High	PredictedIncidenceRateT+4_T+7_High	0.553	0.0038	10.41

ISSN: 1472-6947